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About

Software Engineer with 2+ years of experience building AI/ML systems in production. Reduced LLM hallucination by 35% using hybrid RAG, improved model accuracy by 40% across 3 projects, and maintained 99.9% uptime for 5+ deployed services on AWS. Skilled in Python, LangChain, TensorFlow, PyTorch, FastAPI, and the full ML lifecycle.

Experience2

  1. Freelance AI/ML Engineer

    Nov 2025 — Present

    Self-employed

    Fine-tuned LLMs with LoRA on domain-specific datasets, improving response accuracy by 25%. Built modular ETL pipelines to convert raw documents into searchable vector knowledge bases.

  2. Software Engineer — AI/ML & GenAI

    Nov 2023 — Oct 2025

    tickIoT Inc

    Built RAG pipelines with LangChain and FAISS using hybrid vector + SQL retrieval, reducing LLM hallucination by 35%. Wrote end-to-end ML pipelines, improving model accuracy by 40% across 3 projects. Deployed FastAPI REST microservices for model inference, achieving sub-second latency under high-concurrency loads.

Projects2

  • Enterprise AI Knowledge Assistant

    RAG pipeline with hybrid vector + SQL search; improved retrieval precision by 40%. Deployed as microservices on AWS.

    • LangChain
    • FAISS
    • FastAPI
    • Docker
    • AWS

  • Healthcare NLP Classifier

    Text classification on real medical data; reached 91% accuracy using feature engineering and supervised learning. Automated the EDA and reporting workflow, cutting manual data review time for researchers significantly.

    • Scikit-learn
    • TensorFlow
    • Streamlit

Education2

  • Master of Computer Applications

    2020 — 2023

    Institute of Management & Information Technology

  • Bachelor of Science in Information Technology

    2017 — 2020

    Centurion University of Technology & Management