Skip to content

Engineering Projects

Proof of Work & Case Studies

Projects RSS

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.

Machine Learning Database Architecture Cloud Emulation Web Automation Document Processing
Machine Learning National Finalist
Python / ML Pipeline

GSTN Predictive Binary Classification

National-level hackathon finalist project — interpretable gradient boosted ML pipeline analyzing 900,000+ real-world GST records with strict reproducibility.

Database Architecture Multi-RDBMS
SQL / Automation

Examination Management System DB

Modular, production-ready multi-RDBMS architecture (PostgreSQL, MySQL, SQLite) with Python automation, Dockerized environments, and CI pipeline validation.

Cloud Tooling AWS / S3
Data Generation

S3 Faker Mock Data Generator

High-throughput synthetic data generation suite with native AWS S3 and LocalStack integration for cloud testing pipelines.

Data Automation Parser Engine
Document ETL

Paraxcel Document Toolkit

High-performance document parsing engine for complex Docx-to-Excel extraction, tabular data normalization, and automated reporting.

Web Automation Selenium / BS4
Data Pipeline

Naukri Market Data Scraper

Automated Selenium & BeautifulSoup extraction engine for tech hiring telemetry, salary benchmarking, and role aggregation.

Web Application Interactive UI
Frontend App

Real-Time Test Management Interface

Responsive frontend application for live examination management, test scheduling, student authentication, and scoring.

Architectural Principles

Interpretable ML Systems

Prioritizing feature explainability (SHAP, permutation importance) and strict data isolation to eliminate target leakage in production models.

Multi-RDBMS Parity

Enforcing strict relational integrity, trigger parity, and automated query validation across PostgreSQL, MySQL, and SQLite.

Zero-Spend Cloud Simulation

Leveraging containerized LocalStack emulation and automated Docker workflows to validate cloud storage logic locally.