Priyanshu Bharangar — Lead ML Engineer
Most CS students either grind LeetCode or build projects. Rarely both. I do both — and I have the receipts. LeetCode rating: 1,708(max). Top 12% globally out of 863,000 users. Stanford-certified in Supervised Machine Learning (DeepLearning.AI, Sep 2025). Deployed a production Django REST API with JWT auth and PostgreSQL — live URL, real users. Built fraud detection on 284,000 payment transactions. Found the signal in the noise. The turning point was realising that algorithmic thinking and engineering thinking are the same muscle. A fraud pattern in a dataset and a subarray problem on LeetCode both ask the same question: where does the signal hide? That is the lens I bring to every problem. What I am building toward: → ML internship where I work on real data at scale (payments, fintech, or infra) → SWE internship where backend systems actually matter → Teams that care about first-principles thinking, not just framework knowledge What I am working on now: → Completing DP and graph patterns to push LC rating to 1800+ → Building payment anomaly detection pipeline on Kaggle (284k rows) → Applying DP and ML together to intelligent routing problems I work best with: Engineers who explain the why, not just the what. Teams building at scale where one bad query costs real money. I am not a good fit for: Roles where you copy tutorials and call it shipping. Currently at MAIT Delhi (B.Tech CS, 2023–2027). Available for internships immediately. → See my projects: github.com/Priyanshu-gitt → See my LC profile: leetcode.com/priyanshuB15 → DM me or email: priyanshu.bytecode@gmail.com
Stackforce AI infers this person is a Backend Developer with a strong focus on Machine Learning in Fintech.
Location: Greater Delhi, Delhi, India
Experience: 0 mo
Career Highlights
- Top 12% globally on LeetCode with a rating of 1708.
- Stanford-certified in Supervised Machine Learning.
- Built a production Django REST API with real users.
Education
at Maharaja Agrasen Institute Of Technology, Delhi