Software Developer Intern at DataVinci Analytics Agency (2025-05 – 2025-08)
- Engineered and shipped sprint-based features for Grippi.io (AI Marketing SaaS) in Python; optimized SQL joins and indexing strategies, cutting query latency by 40% across multi-platform datasets.
- Conducted code reviews and wrote unit /integration test cases within agile sprints, achieving measurable coverage improvements across core analytics workflows.
- Designed and delivered customer-facing analytics dashboards using Next.js and TypeScript featuring trend analysis and advanced filtering, improving user engagement by 35%.
- Developed and consumed REST APIs, within CI/CD-driven agile workflows, contributing to deployment pipeline improvements.
Summer Research Intern at MITS-DU (2023-06 – 2023-07)
- Built and evaluated machine learning models using real-world datasets for predictive analysis under Dr. Arun Kumar Rana (AI Department).
- Applied data-driven preprocessing and hyperparameter tuning techniques to improve predictive model accuracy on real-world datasets.
