A curated index of production software, machine learning competition pipelines, and developer-first data extraction tooling. Each project contains architecture breakdowns, technical rationales, and source repositories.
National-level hackathon finalist project — interpretable gradient boosted ML pipeline analyzing 900,000+ real-world GST records with strict reproducibility.
Modular, production-ready multi-RDBMS architecture (PostgreSQL, MySQL, SQLite) with Python automation, Dockerized environments, and CI pipeline validation.
High-throughput synthetic data generation suite with native AWS S3 and LocalStack integration for cloud testing pipelines.
High-performance document parsing engine for complex Docx-to-Excel extraction, tabular data normalization, and automated reporting.
Automated Selenium & BeautifulSoup extraction engine for tech hiring telemetry, salary benchmarking, and role aggregation.
Responsive frontend application for live examination management, test scheduling, student authentication, and scoring.
Prioritizing feature explainability (SHAP, permutation importance) and strict data isolation to eliminate target leakage in production models.
Enforcing strict relational integrity, trigger parity, and automated query validation across PostgreSQL, MySQL, and SQLite.
Leveraging containerized LocalStack emulation and automated Docker workflows to validate cloud storage logic locally.