Mukkaysh Srivastav — Director of Engineering
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.
Stackforce AI infers this person is a technology architect specializing in AI, machine learning, and high-performance computing.
Location: New Delhi, Delhi, India
Experience: 21 yrs 9 mos
Skills
- Artificial Intelligence (ai)
- Machine Learning
- Computer Vision
- Software Defined Networking (sdn)
- Network Function Virtualization (nfv)
- High Frequency Trading
- Speech Technology
Career 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.
Work Experience
AkkSha SyS (OPC) Pvt Ltd.
Director & Fellow Architect at AkkSha SyS (OPC) Pvt Ltd. (6 yrs 5 mos)
AkkShadha (OPC) Pvt Ltd.
Director & Fellow Architect (3 yrs 6 mos)
ASLabs Inc
Principal Software Architect - SDN/NFV (1 yr)
Principal Software Architect (5 mos)
Senior Architect (1 yr 8 mos)
Software Engineer (9 yrs 2 mos)
Education
MS at UMass Boston
M.Tech at Indian Institute of Technology, Delhi