I'm a Computer Science graduate interested in backend engineering, applied AI, data engineering, and research-driven software development.

I enjoy building systems end to end — from designing APIs and databases to developing retrieval pipelines, data workflows, and AI-powered applications.

My recent work has involved:

• Backend development with Python, FastAPI, PostgreSQL, and REST APIs
• AI systems using RAG, LangChain, LangGraph, LLMs, and multi-agent workflows
• Data engineering with PySpark, Databricks, Delta Lake, and ETL pipelines
• Research involving computer vision, OCR, NLP, and low-resource languages
• Algorithmic problem solving with 750+ LeetCode problems

I'm particularly interested in understanding how systems work under the hood and continuously improving their performance, reliability, scalability, and maintainability.

AI: RAG • LangChain • LangGraph • LLM Workflows • Multi-Agent Systems • Mistral 7B

Data: PySpark • Databricks • Delta Lake • ETL • Big Data Analytics

Tools: Git • GitHub • VS Code • Jupyter • Postman

Built a document-based question answering platform using FastAPI, LangChain, FAISS, and Mistral 7B.

• Designed semantic document retrieval and context-aware generation
• Improved answer quality through chunking and prompt optimization
• Focused on grounded responses and citation reliability
• Explored latency and retrieval-quality tradeoffs
• Built around a real-world client-facing use case

Built a modular backend service for a social media application.

• JWT-based authentication
• RESTful CRUD APIs
• PostgreSQL database integration
• Voting and post interaction logic
• API testing using Postman
• Modular backend architecture

Built an ETL pipeline for Apple product sales analysis using Spark and PySpark.

• Processed CSV and Parquet datasets
• Used Delta tables for structured data storage
• Implemented transformation pipelines with PySpark
• Applied Spark SQL for analytical workloads
• Designed the workflow around scalable data processing

Developed a full-stack restaurant management platform using the MERN stack.

• Menu management
• Order management
• Table reservations
• Operational dashboard
• REST API integration
• Frontend-backend integration

Co-authored research on:

"Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline"

The work combines:

OCR → NLP → Summarization → Translation

with a focus on processing low-resource Indian languages.

Worked on AI and computer vision projects involving YOLO-based object detection and image processing, exploring practical applications of deep learning.

Explored open-source development through Google Summer of Code and contributed to work around PyBaMM, including efforts related to improving type support within the project.

• AWS Certified Cloud Practitioner
• PCAP — Certified Associate Python Programmer
• Microsoft Azure AI Fundamentals
• Google Advanced Data Analytics
• Google Data Analytics
• IBM AI Developer
• Meta Back-End Developer
• Machine Learning — University of Washington

System Design
      ↓
Scalable Backend Architecture
      ↓
Distributed Systems
      ↓
LLM / Agentic Systems
      ↓
Production AI Engineering

I'm particularly interested in the intersection of backend engineering and AI infrastructure — building reliable systems rather than isolated AI demos.

Building systems, solving problems, and learning one commit at a time.