Headline

Full-Stack Developer | FastAPI · React · PostgreSQL · Docker | Turning Data Pipelines and APIs Into Products That Ship

About

I like taking an idea from a whiteboard sketch to a deployed, working product — and that's what I've spent the last year doing, across backend systems, data pipelines, and full-stack apps. I'm a final-year Computer Science student at Reva University (graduating July 2026), focused on backend engineering and full-stack development. My core toolkit is Python, FastAPI, PostgreSQL, and React, and I'm comfortable owning a feature end-to-end — from API design and data modeling to containerized deployment with Docker. During my Data Analyst internship at Bluestock Fintech, I built Python ETL pipelines that automated data ingestion and removed recurring manual work from the team's weekly reporting cycle, processed datasets ranging from 10,000 to over 1 million rows using Pandas and SQL, and built Power BI dashboards with custom DAX measures that gave stakeholders direct visibility into financial and sales KPIs. Outside of internships, I build full-stack products on my own time — NexVote, a decentralized voting platform with a FastAPI + PostgreSQL backend and Solidity smart contracts on Ethereum; NOS, a full-stack e-commerce platform; and GrievX, a blockchain-based grievance system with a React + MetaMask frontend. I'm looking for an entry-level Software Engineer or Full-Stack Developer role in Bengaluru where I can help a team ship reliable, data-backed products. If you're hiring for backend, full-stack, or data engineering roles — or just want to talk shop about FastAPI, Docker, or Solidity — feel free to connect or send a message.

Location

Bengaluru

AI stack

claude code

claude

cursor

github copilot

openai

githubcopilot

Work experience

Data Analyst Intern at Bluestock™🔺, Apr 2026 - May 2026 · 2 mos, Pune District, Maharashtra, India, Automated data ingestion into the analytics pipeline by building Python ETL scripts and web-scraping workflows, eliminating recurring manual processing steps from the team's weekly reporting cycle. Transformed and cleaned datasets ranging from 10K to 1M+ rows using Pandas and NumPy, sourced from CSV files and PostgreSQL, including type-coercion and aggregation logic. Authored complex SQL queries with multi-table JOINs and window aggregations against PostgreSQL to support recurring business reporting workflows for the analytics team. Built interactive Power BI dashboards with custom DAX measures, surfacing financial and sales KPIs for direct stakeholder consumption and cutting down ad-hoc reporting requests.

Education

Bachelor of Technology - BTech, Computer science and information technology, Reva University

Public links

github: https://github.com/Ary1727