Akshat Kumar
@akshatkumar
Undergrad blending product analytics and production ML engineering to ship user-ready AI systems end-to-end.
What I'm looking for
I’m a CS undergrad at BITS Pilani (2027) focused on production Machine Learning deployments serving 500+ users, with ML outputs adopted in 2 government policy briefs and Rs.1Cr+ in cross-functional outcomes.
I bring a track record across AI engineering, product management, data analytics, and backend development—comfortable owning work end-to-end across all four tracks. In product, I ran GTM across 7 colleges, drove 1,200+ app installs in 6 weeks, and owned full-funnel analytics like D7 user retention (38%) via Google Analytics 4. In leadership, as Director, Entrepreneurship Cell, I secured Rs.1Cr+ in sponsorships (3× YoY growth), managed 40+ members with sprint cadence/backlog tracking, and delivered E-Summit for 2,000+ attendees with Rs.2Cr+ in pitch-floor funding commitments.
In research and engineering, I built Python ETL pipelines on 80,000+ government records, automated anomaly detection (↓60% cleaning time), fine-tuned XGBoost (AUC 0.71→0.86) with SHAP interpretability, and contributed to outputs adopted in national policy briefs. On the build side, my CampusQuery RAG system (LangChain + OpenAI + MongoDB + FastAPI + React) reduced document lookup from ~15min to <30sec for 500+ users, and I’ve also shipped drift-aware ML pipelines and deployed NAS frameworks on AWS EC2.
Experience
Work history, roles, and key accomplishments
Product Management Intern
MapmyIndia
Jan 2026 - Apr 2026 (3 months)
Owned full-funnel product analytics and GTM execution, driving 1,200+ app installs in 6 weeks and improving D7 user retention to 38% via cohort analysis and DAU/MAU tracking. Produced weekly OKR-aligned KPI reports for senior leadership and conducted discovery on 200+ micro-POIs to identify 15+ high-drop-off zones using foot-traffic analytics.
Research Intern - Data ML
CSIR-CRRI
May 2025 - Jul 2025 (2 months)
Built Python ETL pipelines on 80,000+ government records and automated anomaly detection, reducing cleaning time by 60%. Performed EDA, feature engineering, cross-validation, and hyperparameter tuning; fine-tuned XGBoost with SHAP interpretability (AUC 0.71→0.86) and delivered outputs adopted in 2 national policy briefs.
Education
Degrees, certifications, and relevant coursework
BITS Pilani, Hyderabad Campus
Bachelor of Engineering, Computer Science
2023 -
Activities and societies: Coursework: Data Structures & Algorithms, Machine Learning (ML), Database Systems, Business Analytics, Probability & Statistics, Economics.
Pursuing a B.E. in Computer Science at BITS Pilani (Hyderabad Campus) with coursework in Data Structures & Algorithms, Machine Learning, Database Systems, and Business Analytics, expected to graduate in 2027.
Availability
Location
Authorized to work in
Job categories
Skills
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