Contract-driven, agentic system for deterministic CAD generation from natural language using headless CAD

BetWork is a two-stage project focused on designing a robust data pipeline and performing comprehensive data analytics for a betting platform. The project analyzes player behavior, betting patterns, and financial trends to extract valuable business insights, empowering decision-making and enhancing operational strategies.

Implementation of an ARM processor with hazard and forwarding units, along with SRAM and cache memory

Production-style NBA data pipeline that builds a partitioned BigQuery feature store from NBA Stats API endpoints for analytics and modeling workflows.

🚀 Convert natural language to real CAD artifacts with Text2CAD, an agent-driven system for deterministic and validated engineering workflows.

Pipeline-driven job & internship alert system that aggregates, filters, and delivers relevant opportunities.

CSE Bubble developed as semester project for Computer Organisation (CS220) course in 4th semester

This project aims to create a pipeline-architecture for applying sentiment analysis to reviews on an amazon dataset.

5 stages in-order pipeline architecture simulator

Real-time fraud detection pipeline (Airflow, SageMaker, PostgreSQL, Streamlit)

Semi-automated logo discovery pipeline built with Django and Python for extracting and ranking potential company logos from websites.

Content → Schema → Template → Format. Deterministic document transformation with clear separation between content, structure, and presentation.

Ingestion pipelines with artifact lineage, replayable stages, and append-only persistence.

Deterministic first. LLM only where confidence is low. Built to reduce cost and latency, not maximize model usage.

Structured data-cleaning pipeline built on the Olist e-commerce dataset, focusing on reproducible ingestion, schema profiling, and light standardization using Python and pandas. Emphasizes clear pipeline stages, auditability, and portfolio-ready documentation.

Enterprise-grade ML framework showcasing advanced Scikit-Learn implementations with production-ready pipelines, algorithm-optimized synthetic data generation, comprehensive evaluation suite with statistical testing, custom transformers, ensemble methods, and real-world industry applications across healthcare, finance, and manufacturing domains.

A minimal Python starter for building repeatable data pipelines with optional AI/LLM processing. No frameworks — just clean, extensible structure.

A real-time Hindi → English voice translation pipeline with streaming speech recognition and offline ASR. Hindi-to-English speech translation system combining ASR (Kaldi/Vosk) with a transformer-based machine translation model, forming a complete speech → text → translation pipeline.