Journey

I did my B.Tech in Electrical Engineering at IIT (BHU) Varanasi, where I gravitated quickly toward algorithms, probability, and natural language processing. That mix of math and language pushed me into applied machine learning.

After graduation, I spent several years as a Data Scientist across consulting and product teams, working on NLP, personalization, and ML infrastructure. I’ve built chatbots, clinical NLP systems, and uplift models that directly moved business metrics.

Today, I’m pursuing an M.S. in Computer Science at the University of Wisconsin–Madison, deepening my understanding of advanced NLP, machine learning, databases, and operating systems while continuing to build practical AI systems.

What I like working on

• Agentic AI systems that chain tools, retrieval, and reasoning.
• Retrieval-augmented generation with robust evaluation.
• Embeddings: learning, comparing, and debugging representations.
• Clinical and structured NLP for high-stakes domains.
• MLOps: taking models from notebook to production.

Education

• M.S. in Computer Science, University of Wisconsin–Madison
  Focus: Advanced NLP, Machine Learning, Topics in DBMS, Operating Systems
• B.Tech. in Electrical Engineering, IIT (BHU) Varanasi
  Courses: Data Structures & Algorithms, NLP, Probability & Statistics, Operations Research

Outside work

I enjoy trading and playing table tennis. Both reward discipline, risk management, and fast feedback loops — the same mindset I bring to designing and stress-testing ML systems.