Machine Learning & Data Engineering Enthusiast

I’m a hands-on Machine Learning Engineer with a solid foundation in data engineering, cloud computing, and AI. My work combines software engineering and machine learning to build scalable, efficient solutions.​

Current Role

At Excellus BCBS, I manage Databricks infrastructure, optimize Spark workflows, and streamline data operations. Previously, as a Data Science Intern, I deployed machine learning models, built recommendation systems, and developed AI-driven applications.

What I Do

• Databricks & Spark – Architecting data pipelines and optimizing big data workflows.
• Machine Learning – From classical models to deep learning, with experience in NLP and Generative AI.
• Software & AI Development – Writing clean, efficient code to turn ideas into functional, scalable solutions.

Publications

Closed Domain Question-Answering Techniques in an Institutional Chatbot (IEEE 2024) Read More

Featured Work

• BrockportGPT – A chatbot leveraging various Generative AI techniques (RAG, fine-tuning, etc.).
• Chess AI – A deep learning-based chess engine implementing minimax and alpha-beta pruning.
• Car Price Prediction – A classical machine learning project focused on predictive modeling.

Let’s Connect

I’m always open to discussing ML or other cool stuff. Feel free to reach out!