New version of industrial CV with Morphosphere and System Software Architect focus

9 files changed, 77 insertions, 37 deletions

diff --git a/cvind.pdf b/cvind.pdf
index 481bb1c..1391e10 100644
--- a/cvind.pdf
+++ b/cvind.pdf
diff --git a/cvind.tex b/cvind.tex
index a4c75e5..abd6bc2 100644
--- a/cvind.tex
+++ b/cvind.tex
@@ -1,7 +1,8 @@
 %\documentclass[dsvariant,alternative,12pt,compact,monochrome]{yaac-another-awesome-cv}
 \documentclass[dsvariant,alternative,12pt,compact]{yaac-another-awesome-cv}
 \name{Suren A. Chilingaryan, PhD}{}
-\tagline{System Architect | HPC \& GPU Computing | Lead of Cloud Computing}
+\tagline{Systems Software Architect | Scientific Instrumentation \& Heterogeneous Systems }
+
 \addbibresource{bib/csa.bib}
 \addbibresource{bib/csaproc.bib}
 
@@ -9,11 +10,12 @@
 
 %\photo{2.5cm}{darwiin.png}
 \socialinfo{
-    \address{76139 Karlsruhe, Germany}
+    \employer{Karlsruhe Institute of Technology (KIT)}{https://www.kit.edu}
+%    \address{76139 Karlsruhe, Germany}
     \email{csa@suren.me}
     \linkedin{suren-chilingaryan-5501636}
-    \telegram{@csa7fff}
-%    \smartphone{+49 (176) 438-53094}
+%    \telegram{@csa7fff}
+    \smartphone{+49 (176) 680-93203}
 %    \website{http://suren.me}{http://suren.me}
 %    \vspace{0.5em}
 %    \address{17 Rue de Bretagne, 98835 Dumbéa, Nouvelle-Calédonie}\\
@@ -38,10 +40,18 @@
 %I work closely with detector electronics, infrastructure, and scientific teams to turn prototypes into robust, maintainable production systems.
 %Most recently, I led the cloud-native modernization of the KATRIN neutrino experiment, enabling 200\,Gb/s data acquisition and integration of thousands of sensors. 
 
-System architect with 20 years of experience designing distributed, data-intensive systems for large-scale scientific instrumentation. 
-Strong background in HPC, GPU acceleration, low-latency data paths, and cloud-native platforms. 
-Proven ability to turn research prototypes into reliable production systems and to lead cross-team engineering efforts. 
-Recently led the cloud-native transformation of the KATRIN neutrino experiment, enabling 200\,Gb/s data acquisition and integrating thousands of sensors.
+
+%Technical architect for data-intensive scientific systems, combining architectural breadth with deep systems and performance expertise, 
+%particularly around high-performance and heterogeneous computing.
+
+%20 years of experience designing and delivering distributed, data-intensive systems for large-scale scientific instrumentation. 
+%Architected systems spanning hardware interfaces, low-latency data paths, distributed heterogeneous computing, data management, and cloud-native orchestration.
+%Experienced in leading multidisciplinary development, translating scientific and operational requirements into technical architectures, and taking research prototypes into long-lived production systems.
+
+20 years of experience designing and delivering distributed, data-intensive systems for large-scale scientific instrumentation. 
+Architected systems spanning hardware interfaces, low-latency data paths, heterogeneous computing, data management, and cloud-native orchestration, combining architectural breadth with deep systems and performance expertise. 
+%Experienced in leading multidisciplinary development, bridging experiments with supercomputing centres, and taking research prototypes into long-lived production systems.
+Lead multidisciplinary development, bridge scientific experiments with HPC centres, and take research prototypes into long-lived production systems.
 }
 
 \begin{document}
@@ -73,4 +83,4 @@ Recently led the cloud-native transformation of the KATRIN neutrino experiment,
 %	\input{section_software}
 %	\input{section_research}
 %	\input{section_supervision}
-\end{document}
\ No newline at end of file
+\end{document}
diff --git a/cvsci.pdf b/cvsci.pdf
index 5877006..65c325e 100644
--- a/cvsci.pdf
+++ b/cvsci.pdf
diff --git a/section_competences.tex b/section_competences.tex
index 50cfe4f..79d9ce7 100644
--- a/section_competences.tex
+++ b/section_competences.tex
@@ -15,11 +15,19 @@
 }{
 \subtitle{Key Competences}{\faTasks}
 \begin{competences}
-	\competence{Technical Leadership}{Project management, team leadership, presentations, proposals \& reports}%, Technical \& Financial Planning}
-	\competence{System Architecture}{Distributed systems, microservice architectures, scalable data-intensive applications, high-bandwidth data acquisition and data-driven control}
-	\competence{HPC \& Performance}{Parallel \& approximate algorithms, performance modeling, code optimization}
-	\competence{Infrastructure}{Kubernetes/OpenShift, distributed storage, TSDB \& array databases, CI/CD}
-	\competence{Key Technologies}{C/C++, POSIX/IPC/Linux Kernel, CUDA/OpenCL, NUMA, Remote-DMA}
+%	\competence{Technical Leadership}{Project management, team leadership, presentations, proposals \& reports}%, Technical \& Financial Planning}
+%	\competence{System Architecture}{Distributed systems, microservice architectures, scalable data-intensive applications, high-bandwidth data acquisition and data-driven control}
+%	\competence{HPC \& Performance}{Parallel \& approximate algorithms, performance modeling, code optimization}
+%	\competence{Infrastructure}{Kubernetes/OpenShift, distributed storage, TSDB \& array databases, CI/CD}
+%	\competence{Key Technologies}{C/C++, POSIX/IPC/Linux Kernel, CUDA/OpenCL, NUMA, Remote-DMA}
+
+	\competence{Leadership}{Team building, cross-team coordination, presentations \& publications} % mentoring \& supervision
+	\competence{Project Management}{Technical \& financial planning, proposals \& funding, partnerships }
+    	\competence{Architecture}{Distributed \& heterogeneous systems, data-intensive scientific systems, high-bandwidth DAQ, data-driven control, data organization \& lifecycle }
+	\competence{Performance}{Parallel \& approximate algorithms, performance modeling, code optimization}
+	\competence{Platforms}{Kubernetes/OpenShift, distributed storage, SQL/TSDB/array databases}
+	\competence{Key Technologies}{C/C++, Linux/POSIX/IPC, CUDA/OpenCL, NUMA, PCIe/DMA, RDMA}
+
 \end{competences}
 }
 
@@ -32,7 +40,7 @@
 %Design of scalable data acquisition and control systems · Real-time, low-latency networking using AF_XDP, DPDK, RDMA · Distributed messaging with gRPC and ZeroMQ · NUMA-aware system deployment
 %Software profiling and tuning with VTune, perf, Nsight · Performance modeling and bottleneck analysis · Optimization of compute pipelines and memory access patterns
 %Cloud-integrated data pipelines · Time-series and array databases (PostgreSQL, InfluxDB, TimescaleDB) · Monitoring and visualization with Grafana and custom dashboards
-%Experience with Slurm, Ceph, and Lustre · HPC cluster design and job scheduling · Integration of HPC with cloud environments · Infiniband and RDMA-based networking
+%Experience with Slurm, Ceph, and Lustre · HPC cluster design and job scheduling · Integration of HPC with cloud environments · InfiniBand and RDMA-based networking
 %CI/CD workflows and 
 
 %Proficient in C/C++, Python, Bash · Git, Make/CMake, YAML/JSON · Familiarity with modern DevOps tools and practices
diff --git a/section_curproj.tex b/section_curproj.tex
index c907c93..91fcb6e 100644
--- a/section_curproj.tex
+++ b/section_curproj.tex
@@ -1,25 +1,33 @@
 \subtitle{Selected Projects}{\faSuitcase}
 
 \begin{projects}
+\project{Since 2026}		{Morphosphere}	{Distributed Data Architecture for Interactive 3D/4D Tomography Repositories}
+    \action{\since{2025}}	{}		{Co-authored proposal; PI / work-package lead for data reduction and organization}
+    \action{\since{2026}}	{}		{Project targets a data lifecycle spanning data-generation facilities, HPC centres \& users}
+    \action{\since{2026}}	{}		{Exploring compression, caching, and abstractions to enable interactive data access}
+    \action{\since{2026}}	{}		{Co-designing DAG tomography framework; evaluating NVIDIA Graphs/Holoscan}
+
+% Canonical, Electronics, Physicts
  \project{Since 2018}		{KaaS}		{KATRIN-as-a-Service (KaaS) platform for distributed data acquisition systems}
-    \action{\since{2018}}	{4}		{Prototyped platform, secured funding, built a team of 4, and led the rollout}
-    \action{\since{2022}}	{}		{Coordinated with Canonical and internal teams to deploy Kubernetes infrastructure}
-    \action{\since{2018}}	{4}		{KaaS cloud is integrating data from fast detectors and thousands monitoring sensors}
+    \action{\since{2018}}	{4}		{Initiated platform, secured funding, built team of 4, and led production rollout}
+    \action{\since{2022}}	{}		{Coordinated integration across Canonical, KIT HPC, electronics \& experiment teams}
+    \action{\since{2018}}	{4}		{KaaS integrates data from fast detectors and thousands of monitoring sensors}
+    \action{\since{2022}}	{1}		{Led development of containerized AF\_XDP data-acquisition framework}
     \action{\ivl{2018}{2019}}	{}		{Cut costs by adapting legacy software for distributed ops and integrating HPC resources}
-    \action{\since{2022}}	{1}		{Led development of AF\_XDP-based, containerized DAQ framework}
-    \action{\since{2020}}	{3}		{Modeled data access patterns and guided research on organization of time-series data}
-    \action{\since{2015}}	{1}		{Supervised development of online monitoring framework for the KaaS ecosystem}
+
+%    \action{\since{2020}}	{3}		{Modeled data access patterns and guided research on organization of time-series data}
+%    \action{\since{2015}}	{1}		{Supervised development of online monitoring framework for the KaaS ecosystem}
 %    \action{\ivl{2019}{2020}}	{3}		{Coordinated migration of the KATRIN services to the KaaS platform}
 %    \action{\since{2020}}	{2}		{Lead research on cloud technologies for heterogeneous control systems}
 
- \project{\ivl{2017}{2022}}	{Toma}		{Research and applications of hidden aspects in GPU architectures}
+ \project{\ivl{2017}{2022}}	{Toma}		{Uncovering \& Exploiting GPU Architectural Features}
     \action{\ivl{2017}{2018}}	{}		{Identified performance imbalances and hidden parallelism in NVIDIA and AMD GPUs}
-    \action{\ivl{2017}{2018}}	{}		{Developed method to exploit intra-SM parallelism on NVIDIA (up to 30\% speed-up)}
-    \action{\ivl{2017}{2018}}	{}		{Accelerated tomography by 4-6 times by rebalancing of hardware usage}
+    \action{\ivl{2017}{2018}}	{}		{Developed method exploiting intra-SM parallelism on NVIDIA (up to 30\% speed-up)}
+    \action{\ivl{2017}{2018}}	{}		{Accelerated tomography 4–6× through architecture-aware resource balancing}
     \action{\ivl{2019}{2020}}	{}		{Published paper "\urlref{Reviewing GPU architectures to build efficient back projection...}{https://doi.org/10.1007/s11554-019-00883-w}"}
 
  \project{\ivl{2016}{2017}}	{CMS}		{GPU-based L1 Trigger for CERN CMS using GPUDirect (6~$\mu$s latency budget)} 
- \project{\ivl{2011}{2017}}	{UFO}		{Cordinated software work-package and led algorithm paralelization in a project "Ultrafast tomography with online monitoring and image-based control"}
+ \project{\ivl{2011}{2017}}	{UFO}		{Coordinated software work-package and led algorithm parallelization in a project "Ultrafast tomography with online monitoring and image-based control"}
 
 
 % \project{\ivl{2011}{2016}}	{ADEI/ASTOR}	{Web-platforms for visualization of volumetric (tomographic) and time-series data}
diff --git a/section_employment.tex b/section_employment.tex
index e6ad6f0..1936796 100644
--- a/section_employment.tex
+++ b/section_employment.tex
@@ -8,13 +8,15 @@
   \job {\ivl{2005}{2007}}	{YerPhI}	{Researcher}{Yerevan Physics Institute}{DAQ for particle detector networks}										{http://crd.yerphi.am}
   \job {\ivl{2002}{2005}}	{YerPhI}	{PhD student}{Yerevan Physics Institute \& Forschungszentrum Karlsruhe}{}											{}
 %  \job {\ivl{2002}{2005}}	{YerPhI}	{PhD student}{Yerevan Physics Institutee}{}														{}
+  \job {\ivl{2001}{2002}}	{}		{Software Engineer}{Yerevan Physics Institute}{}													{http://crd.yerphi.am}
 }{
-  \job {\since{2020}}		{KIT}		{Lead of Cloud Computing}{Karlsruhe Institute of Technology}{High-throughput cloud technologies for control and data acquisition systems}		{http://www.ipe.kit.edu}
-  \job {\ivl{2013}{2020}}	{}		{Data Processing and Performance Expert}{KIT}{high-performance instrumentation for large-scale scientific experiments}					{http://www.ipe.kit.edu}
+  \job {\since{2020}}		{KIT}		{Scientific Systems Architect}{KIT}{End-to-end systems for data-intensive instrumentation, from detectors to processing \& data organization}		{http://www.ipe.kit.edu}
+  \job {\ivl{2013}{2020}}	{}		{Data Processing and Performance Engineer}{KIT}{high-performance instrumentation for large-scale scientific experiments}				{http://www.ipe.kit.edu}
   \job {\ivl{2007}{2012}}	{}		{Postdoctoral Researcher}{KIT}{data management \& software optimization}										{http://www.ipe.kit.edu}
-  \job {\ivl{2005}{2007}}	{YerPhI}	{Software Engineer}{Yerevan Physics Institute}{data acquisition systems}										{http://crd.yerphi.am}
-  \job {\ivl{2002}{2005}}	{FZK}		{Associate Researcher}{Forschungszentrum Karlsruhe}{}													{}
+  \job {\ivl{2001}{2007}}	{YerPhI}	{Software Engineer \& Researcher}{Yerevan Physics Institute and Forschungszentrum Karlsruhe}{DAQ middleware and control systems}			{http://crd.yerphi.am}
+
+%  \job {\ivl{2002}{2005}}	{FZK}		{Associate Researcher}{Forschungszentrum Karlsruhe}{}													{}
+%  \job {\ivl{2001}{2002}}	{}		{Software Engineer}{Yerevan Physics Institute}{}													{http://crd.yerphi.am}
 }
 
-  \job {\ivl{2001}{2002}}	{}		{Software Engineer}{Yerevan Physics Institute}{}													{http://crd.yerphi.am}
 \end{jobs}
diff --git a/section_projects.tex b/section_projects.tex
index 6708b14..905d990 100644
--- a/section_projects.tex
+++ b/section_projects.tex
@@ -1,8 +1,20 @@
 \subtitle{Projects}{\faSuitcase}
 % While many projects are spread over time and going in parallel, I have tried to specify shorter core development times.
+% Science Systems Architect
 
 \begin{projects}
 \ifdef{\scivariant}{
+ \project{Since 2026}		{Morphosphere}	{Distributed Data Architecture for Interactive 3D/4D Tomography Repositories}
+    \action{\since{2026}}	{}		{Co-authored proposal; PI / work-package lead for data reduction and organization}
+%Architecting data flows across facilities, HPC centres, and users
+%Exploring automated reduction of ~100 GB datasets to few-GB working copies
+%Co-designing a next-generation pipelined data-processing framework
+%PI / work-package lead for data reduction and organization across facilities, HPC centres, and scientific users.
+%Contributing to architecture of a pipelined framework for distributed processing of large scientific datasets.
+%Developing automated denoising and lossy compression methods to reduce ~100 GB raw datasets to few-GB working copies.
+%• Contributing to the next-generation UFO processing architecture, evaluating GStreamer and NVIDIA graph frameworks.
+%Data-reduction concepts for ~100 GB datasets and few-GB working copies
+
  \project{Since 2018}		{KaaS}		{KATRIN-as-a-Service (KaaS) platform for distributed data acquisition systems}
     \action{\since{2018}}	{4}		{Prototyped platform, secured funding, built team, and led rollout}
     \action{\since{2018}}	{4}		{KaaS cloud is integrating data from fast detectors and thousands monitoring sensors}
@@ -50,7 +62,7 @@
 
  \project{\ivl{2009}{2013}}	{GPU}		{Parallel algorithms and software optimization, 10-100x speed-up}
     \action{\ivl{2013}{2014}}	{UFO}		{Developed parallel algorithms for $\mu$PIV (micro-particle velocimetry)}
-    \action{2010}		{}		{Leveraged the PoweXCell architecture for a MRSES feature selection algorithm} %, achieved 5000x speed-up compared to prototype using a single IBM QS22 blade}
+    \action{2010}		{}		{Leveraged the PowerXCell architecture for a MRSES feature selection algorithm} %, achieved 5000x speed-up compared to prototype using a single IBM QS22 blade}
     \action{\ivl{2009}{2010}}	{}		{Optimized performance of PyHST (ESRF tomographic framework)}
     \action{\ivl{2009}{2010}}	{}		{Implemented a digital image correlation and tracking algorithm for GPUs}
 %   \action{\ivl{2007}{2008}}	{}		{Carried out a performance study of open-source XML frameworks} %(SAX/DOM, Transformation, Schema, Security)
diff --git a/section_research.tex b/section_research.tex
index 3efe97c..4f579f0 100644
--- a/section_research.tex
+++ b/section_research.tex
@@ -23,14 +23,14 @@ Below are referenced selected peer-reviewed publications which are either author
   \technology	{\ivl{2014}{2015}}	{Alps}		{KARA}		{Implemented}{fast DMA drivers with GPUDirect / DirectGMA support~\cite{rota2015dma}}
   \research	{\ivl{2013}{2014}}	{UFO,PyHST}	{KARA,ESRF}	{Reviewed}{asymptotically fast methods of tomographic reconstruction well-fitted for GPU architectures~\cite{rshkarin2015}}
   \research	{\ivl{2011}{2013}}	{UFO}		{KARA}		{Researched}{software architectures for online processing of image streams~\cite{vogelgesang2012ufo}}
-  \technology	{\ivl{2011}{2013}}	{Alps}		{KARA}		{Developed a}{streaming data acquisition platform for scientific cameras~\cite{caselle2013camera}}% (readout, debugging, storage) / :readout framework, camera drivers, absraction, streaming storage, scripting & debugging
+  \technology	{\ivl{2011}{2013}}	{Alps}		{KARA}		{Developed a}{streaming data acquisition platform for scientific cameras~\cite{caselle2013camera}}% (readout, debugging, storage) / :readout framework, camera drivers, abstraction, streaming storage, scripting & debugging
 
  \datedeventsection{\since{2007}}{Parallel architectures, performance analysis, and software optimization}{verycomplexevents}
   \technology	{\ivl{2020}{2021}}	{CCPi}		{UoM}		{Applied}{methods of approximate computing to enable reconstruction of large datasets using memory-intensive regularization methods~\cite{ametova2021neutron}}
   \research	{\ivl{2017}{2018}}	{PyHST}		{}		{Researched}{performance imbalances and a hidden parallelism in GPU architectures and how they can be exploited to speed-up tomographic reconstruction~\cite{csa2018sbac}} % Balancing part is new, everything else was done earlier...
   \technology	{\ivl{2014}{2017}}	{UFO}		{KARA}		{Investigated}{viable compromises between reconstruction quality and parallelization capabilities of tomographic algorithms~\cite{ashkarin2015}}
   \technology	{\ivl{2013}{2014}}	{UFO}		{}		{Developed}{parallel algorithms for $\mu$PIV (micro-particle velocimetry)~\cite{cavadini2018upiv}}
-  \technology	{2010}			{MRSES}		{ASEC}		{Leveraged the}{PoweXCell architecture for an MRSES feature selection algorithm (5000x speed-up compared to a MATLAB prototype)}
+  \technology	{2010}			{MRSES}		{ASEC}		{Leveraged the}{PowerXCell architecture for an MRSES feature selection algorithm (5000x speed-up compared to a MATLAB prototype)}
   \technology	{\ivl{2009}{2010}}	{PyHST}		{KARA,ESRF}	{Optimized the}{PyHST tomographic reconstruction framework~\cite{csa2011pyhst}}
   \technology	{\ivl{2009}{2010}}	{DictHW}	{}		{Implemented a}{digital image correlation and tracking algorithm for GPUs} %(10x speed-up)
   \technology	{\ivl{2007}{2008}}	{XMLBench}	{}		{Carried out a}{performance study of open-source XML frameworks~\cite{csa2009xmlbench}}
diff --git a/section_skills.tex b/section_skills.tex
index c65f976..4b37c61 100644
--- a/section_skills.tex
+++ b/section_skills.tex
@@ -1,11 +1,11 @@
-\subtitle{Technical skills}{\faTasks}
+\subtitle{Technical background}{\faTasks}
 
 \begin{categories}
-	\category{Proj. Management}{Team Building, Proposals \& Reports, Technical \& Financial Planning}
-	\category{Research}{Mentoring \& Supervision, Presentation \& Publication, Math \& Statistics}
+%	\category{Proj. Management}{Team Building, Proposals \& Reports, Technical \& Financial Planning}
+%	\category{Research}{Mentoring \& Supervision, Presentation \& Publication, Math \& Statistics}
 	\category{Programming}{C/C++, POSIX/IPC, OpenMP/NPTL, NUMA, SIMD, CUDA/OpenCL}
 	\category{System Program.}{Linux \& Kernel Internals, PCIe Drivers, DMA/GPUDirect/DirectGMA}
-	\category{Networking}{Ethernet/Infiniband, EPICS, Sockets/MPI/0MQ, RDMA (ROCe), LibVMA}
+	\category{Networking}{Ethernet/InfiniBand, EPICS, Sockets/MPI/0MQ, RDMA (RoCE), LibVMA}
 	\category{Software Analysis}{gdb, perf/operf, nvvp/nvprof, vtune, valgrind, systap, tcpdump}
 %	\category{Scientific Computing}{MATLAB, Python/SciPy, ROOT, BLAS/LAPACK}
 	\category{Data Management}{Brokers, Databases (SQL/TSDB/Array/InMem), XML, Web Development}