
Generative AI & Data Science Professional with 8+ years of experience, holding a Postgraduate degree in Data Science & Business Analytics from Austin Texas University, and a Bachelor's in Electronics and Communication Engineering. Certified in Microsoft Azure Generative AI (Great Learning) and completed an ML internship at WorldQuant University. Specialized in agentic AI systems, LangChain/LangGraph frameworks, and advanced machine learning model development. Expert in building autonomous AI agents, RAG-based systems, and intelligent workflow orchestration while maintaining strong foundation in traditional ML algorithms and statistical modeling. Proven track record in deploying scalable AI solutions through cloud platforms and containerization. Skilled at deriving actionable insights from complex datasets with a strong focus on innovation and continuous improvement in both generative AI and machine learning domains.
IDE: Jupyter Notebook, Google Colab, PyCharm, VS Code
Applied Data Science Lab, Machine Learning - (World Quant University)
GenAi Microsoft Azure - (Great Learning)
Applied Data Science Lab, Machine Learning - (World Quant University)