Resume

Mitchell Chatterjee — Resume

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Summary

Machine Learning Engineer experienced in building real-time, production-grade NLP, retrieval, and agentic systems. Skilled in foundation model development, from data pipelines to LLM orchestration and evaluation. Adept at bridging research and engineering to deliver scalable, high-impact AI solutions.

Experience

  • AI / Machine Learning Engineer — JSI (Jan 2024 - Present)

    • Led migration to Agno/LangChain for LLM orchestration; deployed on-premises to customer sites with 100+ GPUs.
    • Built a real-time RAG pipeline to embed and retrieve billions of multimodal records.
    • Spearheaded company-wide evaluation framework using DeepEval and A/B testing.

  • Junior AI / Machine Learning Engineer — JSI (May 2019 - Sep 2022)

    • Designed real-time threat detection scanning multimodal streams (audio, text, image, video).
    • Implemented Kafka-based event-driven architecture, reducing notification latency by 33%.

Education

  • Master of Computer Science (Thesis), Machine Learning — Carleton University (2022–2024)

    • GPA: 4.0 / 4.0
    • Thesis: Toward Robust Automated Cardiovascular Arrhythmia Detection using Self-supervised Learning and 1D Vision Transformers

  • Honours BSc Computer Science, AI Specialization — University of Ottawa (2016–2020)

    • GPA: 4.0 / 4.0 — summa cum laude

Technical Strengths

  • Machine Learning: Transformers, CNNs, RNNs, RAG, FAISS, Self-Supervised Learning, DeepEval
  • Programming: Python, C#, JavaScript, SQL, C/C++, Java
  • Tools: PyTorch, NumPy, Pandas, Docker, Kubernetes, LangChain, Agno, MCP, Kafka, HPC

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