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Mohsin Khan

Experience of over 7+ years in Deep Learning, Computer Vision, NLP. Additional 3 years of strong research experience in Parallel Computing and 1 year of application development experience.

  • Role

    NLP Developer & Applied Machine Learning

  • Years of Experience

    11.8 years

Skillsets

  • Matplotlib
  • Triton Inference Server
  • Transformers
  • Tracking
  • TensorFlow
  • Segmentation
  • Scikit-learn
  • Redis DB
  • Re-id
  • Pose estimation
  • pandas
  • OpenMP
  • object detection
  • NumPy
  • Milvus db
  • Python
  • LangChain
  • GCP
  • FFmpeg
  • Elastic Search
  • Docker
  • CUDA
  • C++
  • Action recognition
  • AWS
  • OpenCV
  • Deep Learning
  • Computer Vision
  • PyTorch
  • NLP

Professional Summary

11.8Years
  • Mar, 2024 - Present2 yr 3 months

    AI Engineer

    IBM
  • Nov, 2020 - Feb, 20243 yr 3 months

    Associate Technical Architect - Machine Learning

    Quantiphi
  • Nov, 2018 - Nov, 20202 yr

    Senior Machine Learning Engineer

    Quantiphi
  • Aug, 2012 - Aug, 20131 yr

    Intern Application Developer

    Intel
  • Feb, 2015 - Feb, 20183 yr

    PhD Research Scholar

    Visvesvaraya Technological University
  • Apr, 2018 - Oct, 2018 6 months

    NLP Developer

Work History

11.8Years

AI Engineer

IBM
Mar, 2024 - Present2 yr 3 months

Associate Technical Architect - Machine Learning

Quantiphi
Nov, 2020 - Feb, 20243 yr 3 months

Senior Machine Learning Engineer

Quantiphi
Nov, 2018 - Nov, 20202 yr
    Led the design and development of real-time deep learning applications, specializing in surveillance, security, inventory management, shipping & logistics, and sports. Expertise in developing, training, fine-tuning, and benchmarking state-of-the-art models for Computer Vision and Large Language Models (LLMs). Developed applications achieving over 90% precision and recall and optimized deployment strategies saving costs while managing teams and contributing to business growth.

NLP Developer

Apr, 2018 - Oct, 2018 6 months
    Worked as a Lead ML Engineer, building ML/DL models and pipelines for a travel domain chatbot capable of handling nested queries, identifying context, intents, and entities.

PhD Research Scholar

Visvesvaraya Technological University
Feb, 2015 - Feb, 20183 yr
    Conducted research and development of automation tools for multi-core CPU and GPU systems, including speedup prediction and auto parallelization. Published papers in peer-reviewed journals.

Intern Application Developer

Intel
Aug, 2012 - Aug, 20131 yr
    Worked on C#.Net for developing applications.

Major Projects

5Projects

Rider safety analysis and Real-time alerting

    Developed optimized video analytics solutions for closed-door and outdoor amusement rides. Achieved high accuracy in object detection and pose estimation, processing data in real-time.

Retrieval Augmented Generation and Text to SQL

    Developed and led the project utilizing LangChain, Milvus DB, GPT3.5, and Hugging Face Llama2 for document retrieval and text-to-SQL conversion.

Video Analytics Application for Inventory Management

    Created a computer vision video analytics application for accurate inventory tracking, leveraging Azure Cloud Services for OCR and ML capabilities.

Player tracking with Jersey number recognition

    Developed a sports video analytics solution for player tracking and jersey recognition with high accuracy using multi-GPU training.

Flight Booking Chatbot with Multiple context analyzer

    Developed a chatbot for travel bookings using sequence-to-sequence models, dependency parsing, and grammar rules, providing context understanding.

Education

  • Ph.D in Computer Science

    (2019)
  • M.Tech/M.E in Computer Science

    (2013)
  • B.E in Computer Science

    (2011)