About Me

My interest is in diagnosing where things go wrong and optimizing for performance, whether that’s a flawed assumption in an ML architecture or a bottleneck in an LLM orchestration pipeline.

Currently a Master's in Data Science student at Northeastern University, I focus on deep learning, computer vision, and LLM systems. I have cross-functional domain expertise in Autonomous Driving, E-Commerce Search & Discovery, and Healthcare Life Sciences, with recent work spanning multimodal motion prediction, robotic manipulation, recommendation systems optimization, Agentic AI, and medical image segmentation. With 3 years of experience building full-stack backend and enterprise solutions, I am well-versed in developing product-specific tools using Core Java and Spring Boot and deploying containerized applications across AWS and Docker.

Projects

GameFusion

Motion PredictionWaymo Motion Dataset (WOMD)

Multimodal fusion model for motion prediction using the Waymo Open Motion Dataset

Topics: Computer Vision, Deep Learning

AI-DataHunter

BERTCaptumPythonPyTorch

Text classification system that distinguishes human writing from AI-generated content

Topics: NLP, Transfer Learning

MARS Recommendation System

PyTorchONNXK-MeansPinecone

Hybrid movie recommender using collaborative and content-based filtering on the MovieLens dataset

Topics: Recommendation Systems, Optimization

Bowel Segmenation with SegFormer

TransformerPytorchOpenCV

Vision Pipeline for Bowel Segmentation from MRI Scans using SegFormer Model

Topics: Image Segmentation, Medical Imaging

Path Matching

PythonpandasStreamlit

A interactive simulation tool to visualize shortest path finding and bipartite matching algorithms

Topics: Algorithms, Data Visualization

Data Fusion Pipeline

PythonApache SparkPostgreSQLStreamlit

Rule-based data integration platform for building scalable pipelines via an intuitive UI

Topics: Data Engineering, Streaming, Automation

Timeline

• 2021: Joined Capgemini as a Full-Stack Intern and later transitioned to a full-time role as a Senior Software Engineer.
• Fall 2022: Promoted to Associate Consultant, continued working in the Banking and Telecommunications domains.
• Summer 2023: Developed a facial recognition system and transitioned toward machine learning and computer vision.
• Fall 2024: Began a Master's program in Data Science at Northeastern University.
• Spring 2026: Teaching Assistant for the Algorithms course.

Tools/Skills