Jyoti Ingle
@jyotiingle
Systems Performance Engineer specializing in MPI, HPC, and low-latency distributed systems optimization.
What I'm looking for
I’m a Systems Performance Engineer with 5+ years of experience in distributed systems, high-performance computing (HPC), and low-latency networking. I specialize in MPI runtime internals and performance optimization for large-scale Linux systems.
At Trinetra Interconnect and C-DAC, I enabled MPI runtimes (MVAPICH2, MPICH via libfabric/OFI) on a custom 100 Gbps interconnect by resolving compatibility issues and validating bring-up. My work included diagnosing protocol and memory-handling defects, and delivering measurable performance improvements—66% latency reduction (6μs → 2μs) and 2.4× cluster efficiency improvement (35% → 85%).
I’m strongest when debugging complex multi-node failures end-to-end: correlating cross-node behavior with custom instrumentation and large-scale log analysis, then using tools like GDB, Valgrind, QCachegrind, and Intel VTune to drive root cause analysis. I also serve as an SME for MPI runtimes and benchmarking, mentoring engineers during HPC platform setup and guiding interconnect design improvements.
Experience
Work history, roles, and key accomplishments
Systems Performance Engineer
Aug 2017 - Jun 2023 (5 years 10 months)
Enabled MPI runtimes on a custom 100 Gbps HPC network, reducing latency from ~6µs to ~2µs (66%) and improving HPL efficiency from ~35% to ~85%. Integrated MPICH-3.3 via Libfabric (OFI) and performed root-cause debugging of multi-node failures using GDB, Valgrind, and QCachegrind.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kharagpur
M.Tech, Computer Science & Engineering
Completed an M.Tech in Computer Science & Engineering at IIT Kharagpur.
Visvesvaraya National Institute of Technology Nagpur
B.Tech, Computer Science & Engineering
Completed a B.Tech in Computer Science & Engineering at VNIT Nagpur.
Availability
Location
Authorized to work in
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