
Machine Learning Engineer & Full-Stack Developer
Graduate student at Northeastern University, with a passion for machine learning research, AI engineering, and development. From data science foundations to AI engineering, I explore cutting-edge techniques in deep learning and artificial intelligence.
Master's student in Data Science, from data science to machine learning research and AI engineering. My background combines data science expertise with cutting-edge machine learning research, allowing me to bridge the gap between domain knowledge and technical innovation.
Graduate student at Northeastern University, working on cutting-edge medical technology research. Recently developed PENMOT: Permutation-Equivariant Networks for Multi-Object Tracking and researching scalable Gaussian Process approximation methods.
Professional journey and key achievements
Academic background
Northeastern University
Graduate program focusing on advanced data science methodologies, machine learning, and statistical analysis. Specializing in computer vision research and geometric deep learning applications.
Institute of Aeronautical Engineering (IARE)
Undergraduate program in electronics and communication engineering, covering fundamentals of signal processing, embedded systems, and telecommunications. Foundation in engineering principles and technical problem-solving.
Professional certifications and specialized training
LinkedIn Learning
AWS
AWS
Oracle
Lakera
Quantium
Postman
A few highlights — see them all on the projects page


Production-ready AI medical education chatbot with FastAPI backend, OpenAI GPT-4o Mini integration, JWT authentication, and MongoDB database. Features LangGraph for conversation flow management and deployed on Render with scalable architecture.

Discover my work, experience, and writings
Watch a neural network train live in your browser — pick a dataset and see it learn the decision boundary in real time. No setup, just play.
Let's discuss your next project or just say hello