M

Mukkaysh Srivastav

Director of Engineering

New Delhi, Delhi, India21 yrs 9 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in deploying AI-based products across multiple domains.
  • Strong proficiency in high-performance computing and low-latency systems.
  • Extensive experience in machine learning and deep learning technologies.
Stackforce AI infers this person is a technology architect specializing in AI, machine learning, and high-performance computing.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningComputer VisionSoftware Defined Networking (sdn)Network Function Virtualization (nfv)High Frequency TradingSpeech Technology

Other Skills

Advance Vector ExtensionAgile Methodologies & ScrumAlgorithmsArtificial IntelligenceAugmented IntelligenceAugmented Reality (AR)Big DataBlockchainBoost C++C/C++ STLCUDACloud ComputingCloudStackCompilersComputer Vision (CV)

About

A technology evangelist very much interested in developing software products and research oriented objectives. Do have specific interests in software development areas like - “Artificial Intelligence (Hyperspectral Imaging (HSI); Machine Learning (GenAI, LLM, LSTM, Retrieval Augmented Generation (RAG), Vector Databases, MLOps (TVM, MLC, IREE/MLIR)); Deep Learning (Multimodality, DeepRec-Sys, PyTorch, Hugging Face, YoLo & ONNX); Natural Language Processing (NLP); Speech Technology; Cloud (AWS, Azure, GCP & OpenShift), Telecom (Open RAN, O-RAN, SDN & NFV), Blockchain, Internet of Things (IoT), Compilers (TRITON, TVM, MLC, LLVM, Graph Compilers & GNU) High Performance Computing (HPC); Programming Languages (C, C++, Python, R, GoLang, Erlang, Java & Typescript); Parallelization (POSIX, OpenMP & MPI) & Vectorization (x64 SSE/AVX); HFT & UFT; Kernel programming (Drivers & Kernel Bypass); Embedded Systems, Static Analysis; Benchmarks (MPerf, TAC, SPEC & MPI); Optimizations (LLM, GPU & Compilers); Distributed Computing, Containers (Dockers & Kubernetes), Microservices & DevOps"​. Fully aware with all aspects of system software, including - Operating systems, Embedded, Compilers, Assemblers, Static analysis, Debuggers, Linkers, & scientific applications programming. Also, strong proficiency in PyTorch, TensorFlow, Hugging Face, Transformers, Kubernetes, Docker, Llama2, LangChain, VectorDB & Typescripts. Specialties: Artificial Intelligence (Hyperspectral Imaging, Machine Learning, Deep Learning, Natural Language Processing & Computer Vision); Machine Learning (GenAI, LLM, LSTM, RAG, Vector DB & MLOps (TVM, MLC, IREE/MLIR)); Deep Learning (GNN, Multimodality, DeepRec-Sys, PyTorch, Optuna, YoLo, OpenCV, Hugging Face & ONNX); Natural Language Processing (NLP) & Speech Technology (V2T); Blockchain Technology (Ethereum & Hyperledger); Optimizations (LLM, GPU & Compilers) Internet of Things (IoT); Telecom - Open RAN, O-RAN, SDN & NFV; Cloud (AWS, Azure, GCP & OpenShift); Compilers (TRITON, TVM, MLIR, LLVM, Graph Compilers & GNU); High Performance Computing (HPC) Programming Languages (C++/Boost, C, GoLang, Erlang, Python & Java); Embedded Systems High & Ultra Frequency Trading Kernel programming (Drivers & Kernel Bypass) Distributed Computing, Docker (Containers & Kubernetes) GPU (CUDA, ROCm & OpenCL) Parallelization (POSIX, OpenMP & MPI) Vectorization (SSE, AVX & x64 Assembly Programming) Microservices & DevOps Static Analysis Patents & IPR's Open Source Development Public Speaking Understand people, build relationships & bridge the business-technology divide.

Experience

21 yrs 9 mos
Total Experience
7 yrs 8 mos
Average Tenure
6 yrs 5 mos
Current Experience

Akksha sys (opc) pvt ltd.

Director & Fellow Architect at AkkSha SyS (OPC) Pvt Ltd.

Dec 2019Present · 6 yrs 5 mos · New Delhi Area, India

  • Deploying AI based products using Hyperspectral Imaging (HSI), Chemo-metrics, Machine Learning (ML), Deep Learning (DL), Natural Language Understanding (NLU), Computer Vision (CV), Internet of Things (IoT), Augmented & Virtual Reality in FMCG cos.
  • Also, implementing ACOUSTIC IMAGING in SANDALWOOD trees to have HEARTWOOD estimate and OIL Yield analysis.
  • Currently, involved into digitization of forest using the Internet of Things (IoT).
Artificial Intelligence (AI)Retrieval-Augmented Generation (RAG)Software Development Life Cycle (SDLC)GenAITensorFlowAgile Methodologies & Scrum+5

Akkshadha (opc) pvt ltd.

Director & Fellow Architect

Jun 2016Dec 2019 · 3 yrs 6 mos · New Delhi Area, India

  • Engaged in deploying Computer Vision applications in FMCG co.
Graphics Processing UnitProject & People's ManagementComputer Vision

Aslabs inc

4 roles

Principal Software Architect - SDN/NFV

Promoted

May 2015May 2016 · 1 yr

  • Worked on an architectural programmable Software Defined Networking (SDN) & Network Function Virtualization (NFV) PoC that could solve challenging legacy based NETWORK problems.
Software Development Life Cycle (SDLC)OpenRAN O-RAN SDN & NFVAgile Methodologies & ScrumOpenRANO-RANSoftware Defined Networking (SDN)+1

Principal Software Architect

Aug 2014Jan 2015 · 5 mos

  • Worked on Speech synthesis, involving Natural Language Processing & Text processing as a part of speech technology.
Agile Methodologies & ScrumSpeech Technology

Senior Architect

Promoted

Aug 2013Apr 2015 · 1 yr 8 mos

  • Initially did architect and develop a low latency 'Trade Engine Platform' application framework to host high performance software machines and exchange interfaces. Also, did re-architect existing exchanges to use new framework through new APIs, processors optimization techniques, lead and monitor team to implement the transition, and to implement a bypass kernel. Latter, developed into fastest Ultra Low Latency (ULL) 'Trading Engine Platform' software stacks and used ExaBlaze ExaNIC Kernel-bypass card to deliver ULL 'Trading Engine Platform'.
  • Did develop very well optimized HFT (High Frequency Trading) strategies algorithms and tuned existing Xeon & Haswell x64 machines with optimal parameters of Network, Kernel and System statistics in having low latency execution components for enforcing best trading strategy.
Software Development Life Cycle (SDLC)High Frequency Trading

Software Engineer

May 2004Jul 2013 · 9 yrs 2 mos

  • It's in Stealth Mode..!!
  • ASLabs Inc looks to develop a commercial based high level synthesis (HLS) framework tool which would provide the performance and energy benefits of hardware, while retaining software ease-of-use. This language transformation tool would automatically compile any ANSI-C or ISO/IEC C++ program to target a Verilog-based software/hardware system, the output of Verilog can be executed on FPGA-based 32-bit ARM Cortex processor.
  • There are some commercially available tools such as Altera’s C2H tool which allow a user to partition a C program’s functions into a hardware set and a software set. The software designated functions execute on a Nios II soft processor, and the hardware designated functions are synthesized into custom hardware accelerators. Also, available tools are Cynthesizer (C++ to Verilog) and Catapult (ANSI C++) from Forte and Mentor Graphics respectively.
  • The limitation of all these tools system architecture with our targeted ASLabs Inc is still in stealth mode.
  • Please feel free to PING me for its customized requirements.
Software Development Life Cycle (SDLC)

Education

UMass Boston

MS — Computer Science

Jan 2001Jan 2003

Indian Institute of Technology, Delhi

M.Tech — Electrical Engineering

Jan 1998Jan 2000

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