Generative AI Engineer | Agentic AI Engineer
Send a job offer directly to this candidate
I am someone who is deeply curious about how intelligence works — both human and artificial. I enjoy breaking down complex problems, understanding systems from first principles, and building structured solutions around them. I’m naturally analytical, detail-oriented, and disciplined in how I approach challenges, but I also value creativity and big-picture thinking.
I like working on ideas that have long-term impact rather than short-term noise, and I’m motivated by learning, improving, and pushing my limits consistently. I adapt quickly, enjoy collaborating with driven people, and believe meaningful innovation comes from clarity of thought, strong fundamentals, and the courage to rethink how things are traditionally done.
I am a GenAI / LLM Engineer with hands-on experience building and deploying production-grade AI systems for BFSI and enterprise clients. My work focuses on designing secure Retrieval-Augmented Generation (RAG) pipelines, developing agentic architectures, and orchestrating LLM workflows using LangChain, LangGraph, and Pydantic AI. I have contributed to multilingual conversational AI systems, document intelligence solutions, and enterprise automation platforms, ensuring scalability, compliance, and performance optimization.
My experience includes implementing structured outputs, real-time streaming, guardrails for safe AI behavior, and cost and latency optimization for live deployments. I am comfortable working across the full lifecycle of AI systems — from research and prototyping to production deployment and monitoring — with a strong foundation in Python, cloud environments, and enterprise-grade AI engineering practices.
I hold a Bachelor of Science in Information Technology (BSc IT) from SIES College of Arts, Science and Commerce, where I graduated with a CGPA of 8.83. My academic foundation includes core subjects such as data structures, databases, software engineering, computer networks, and programming, which built a strong base for my transition into AI and systems development. Alongside my degree, I pursued certifications in cloud computing, Linux, Git, and API development, and completed a Japanese N5 certification from the University of Mumbai, reflecting both technical and interdisciplinary learning.