From Delhi to Boston — a path driven by curiosity, code, and the pursuit of building intelligent systems that matter.
Born and raised in Delhi, the capital city of India. This is where my curiosity for technology first sparked and where I developed my foundation as a person. The city's energy and diversity shaped my perspective on problem-solving.
Lived in Bangalore, India's Silicon Valley. Being in the heart of the tech industry exposed me to the startup culture and gave me a glimpse of what a career in technology could look like. The city's innovation ecosystem was inspiring.
Moved to Chennai to pursue my B.Tech in Computer Science. Dove headfirst into programming fundamentals, data structures, and algorithms. This is where I discovered my passion for machine learning and data engineering.
Gained hands-on experience with data analytics at Tech Mahindra in Noida, automating KPI reports with Python. Then joined Deloitte as a Data Engineering Intern, optimizing AWS ETL pipelines and building Power BI dashboards.
Developed a diabetic retinopathy detection system using CNNs trained on 35K+ retinal images. This project ignited my passion for applying machine learning to solve real healthcare challenges.
My research on automated brain tumor detection using deep learning was published in ICRTC 2025 and ICNSBT 2025. The multi-stage CNN model achieved 97% accuracy and 94% precision.
Read the Publication →Moved to Boston to pursue my MS in Computer Science at Northeastern. Worked through Program Design Paradigms, Database Systems, Web Development, Algorithms, and Generative AI while building toward a co-op.
Joined Mob as a full-stack software engineering co-op, shipping features end-to-end across a consumer mobile app and a B2B event organizer dashboard alongside the founding team. Alongside it I built a fully local RAG fact-checker for U.S. immigration and tax law, and a World Cup prediction model whose bracket was locked before kickoff — it called the champion correctly.
Seeking Summer 2027 software engineering, ML, and data opportunities. I like problems where the answer has to be checked rather than trusted, and I want to keep building systems that hold up once you measure them.
Let's Connect →2 Published Research Papers
Delhi → Bangalore → Chennai → Boston
Software Engineering, ML & Data
MS CS at Northeastern University