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Track record

Work Experience

Building and shipping ML systems in production, and teaching the craft.

  1. Senior ML Engineer ( Independent Contractor) · Independent / Client Engagements

    Sep 2025 - Present

    Toronto, ON (Remote)

    Delivered production agentic/RAG systems across multiple client engagements.

    • Designed and shipped agentic AI and RAG systems on top of LLMs for client products, covering retrieval, tool use, and evaluation.
    • Built MLOps pipelines (training, registry, CI/CD, monitoring) on AWS and GCP, cutting deployment time and improving reliability.
    • Implemented privacy-preserving, read-only inference services with strong security postures and observability.
    • Architected, built and deployed AI migration engine to automate B2B client migration.
    agentic-airagllmmlopsawspythonlanggraph

  2. Partial-Load Professor (AI, NLP, Linux) · Cambrian College

    Sep 2024 - Present

    Sudbury, ON

    Teaching applied AI/NLP and Linux to college students.

    • Teach AI and NLP courses including AIE-1007 (Natural Language Processing), bridging production practice and theory.
    • Develop course material on transformers, embeddings, RAG, and responsible AI.
    • Mentor students on applied ML projects, Linux fundamentals, and cloud deployment.
    nlpteachinglinuxtransformerscurriculum

  3. Machine Learning Engineer · IdeaScale

    Apr 2022 - Dec 2023

    Dhaka, Bangladesh

    • Planned, Designed, Developed and Maintained a microservice for a Customized Hybrid Recommendation Engine.
    • Established an end-to-end data pipeline for the workflow.
    • Optimized raw data processing by introducing parallel processing, reducing computing time by 80%.
    • Achieved a 12% increase in user engagement within the first 03 months of the Early Release of the recommendation engine.
    • Developed and served system-facing REST APIs to serve the recommendation engine’s output to other internal software systems.
    • Took ownership of the codebase, conducted team interviews, and provided training to new members.
    recommendationenginenlppythondockerfastapici-cdtensorflowkubernetes

  4. Machine Learning Engineer · Arollo Tech Limited

    Jan 2019 - Mar 2022

    Dhaka, Bangladesh

    End-to-end product R&D on computer vision, NLP and edge devices.

    • Improved Facial Recognition system with Cascade CNNs and Interfaced it with wearable device through REST API
    • Co-authored and Presented an IEEE conference paper based on product R&D
    • Built a Custom object recognition system with an average accuracy of 90% and more for both indoor and outdoor environments.
    • Converted a pytorch image captioning model to tensorflow implementation and served as django REST API service.
    • Built and Optimized Production-ready NLP services for Multi-Tenant Candidate Hiring Platform.
    • Developed customized Chatbot backend for HR solutions using both Dialogflow and RASA NLU
    computervisionnlpdjangoopencvtensorflowawsgcpdockerdeeplearningresearchembeddedsystem