About
Experienced Machine Learning Engineer with a strong background in developing real-world AI systems across NLP, computer vision, and intelligent automation. Delivered impactful solutions, including agentic LLM-powered chatbots, personalized insurance planners, medical symptom analyzers, and large-scale media monitoring tools. Recently focused on designing multi-agent AI frameworks for performance evaluation, insight generation, and organizational graph construction using RAG and reasoning techniques. Skilled in creating production-grade pipelines using FastAPI, Docker, and MLOps practices. Currently pursuing a Ph.D. in Electrical Engineering with a research focus on unsupervised learning in machine vision—bridging deep technical expertise with applied innovation.
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