CS @ Columbia University (Class of 2027)
Backend/Fullstack Dev | ML Explorer | Builder of impactful tech
I'm a passionate software engineer with experience in backend systems, databases, machine learning, and ed-tech platforms. I love building tools that solve real problems and scale to help people.
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Software Engineering Intern @ Intuit Mailchimp
➤ Automated CI/CD Quality Gate failure triage with a Dockerized Go CLI tool → 61% MTTD reduction
➤ Carried out a critical tool migration project by recreating & reworking the database and the DAL → 25-45% average response time reduction -
Backend Engineering Intern @ The Bulletin
➤ Enhanced Flask API with email automation & event filtering → +10.5% user acquisition
➤ Refactored legacy backend for modularity and performance -
ML Engineer Intern @ Resola
➤ Built a feedback generation model (NumPy, Pandas, Scikit-Learn) → 40% reduction in manual processing
➤ Collected & analyzed sensor data from workout sessions for predictive accuracy -
Projects
- Quillin’ – AI + OCR note explainer (FastAPI, Google Vision, MathPix, LLaMA)
➤ Converted handwritten notes to LaTeX markdown with 95% accuracy - PricelessEdu – Full-stack LMS (ASP.NET + MongoDB)
➤ 800+ monthly signups, 99.9% uptime, scalable app review system
- Quillin’ – AI + OCR note explainer (FastAPI, Google Vision, MathPix, LLaMA)
Languages: Python, C#, JavaScript/TypeScript, Java, C++, SQL, C, Go
Frameworks/Tools: Flask, FastAPI, ASP.NET, Django, Entity Framework, Scikit-Learn, NumPy, Pandas, AWS, MongoDB, Git
[ LANGUAGES BREAKDOWN ]
Python --> 140,321 lines
JavaScript --> 66,462 lines
TypeScript --> 35,778 lines
C# --> 11,694 lines
PHP --> 3,008 lines
Java --> 1,754 lines
Others --> 9,711 lines
[ TOTAL LINES OF CODE: 268,728 ]
“Code is a tool, but curiosity is the engine.”

