Backend and data engineer from Pune, India. I graduated in 2026 with a B.E. in Artificial Intelligence and Data Science. I build services in Python, Go and Java, and I like finding out why things break.
44 merged pull requests across 39 projects, mostly bug fixes in code I did not write. A few I can talk about in detail:
- vert.x PostgreSQL client #1692: a null element in an array bind parameter hung the query
- Keycloak #51840: password policies are now evaluated in the configured order
- ClickHouse Kafka Connect #835: the buffered sink re-sent records after a retriable insert failure
- Infinispan #18018: made
StatsEnvelope.unpackdefensive - dnspython #1293: verify the TSIG MAC before checking the timestamp
- Dependency-Track #7262: resolve the project parent first in
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| Project | What it is | Stack |
|---|---|---|
| webhook-ingest | Fixed eight defects in a webhook service, including duplicate records under concurrent delivery and a cache data race | Go, PostgreSQL, Redis |
| GeriRisk (live) | Health risk scores for elderly care from wearable data, with a separate model service | scikit-learn, FastAPI, Next.js |
| Warehouse Dashboard | Inventory, shipments and suppliers with SQL aggregates and query-count tests | FastAPI, SQLAlchemy, React |
| Property Address Classification | 5-class text classifier on 11.6K addresses, 90.8% accuracy, imbalance handling | XGBoost, LightGBM, scikit-learn |
| Loan Recommendation (live) | Five models for loan eligibility, amount, rate, product and tenure | scikit-learn, FastAPI, PostgreSQL |
| E-Commerce Platform (live) | Catalog, cart, orders and admin dashboard | Spring Boot, MongoDB, React |
| FlowBit | Routes emails, JSON and PDFs to specialist agents after an LLM classifier | FastAPI, Gemini, SQLAlchemy |
- AWS Intern, Cognizant (Mar 2026 to Jun 2026): ETL pipeline on Redshift and DynamoDB, 50K+ records validated with Python, SQL and PySpark
- Backend Developer Intern, Smartcard AI (Feb 2025 to Apr 2025): Python and Flask REST APIs, OpenAI and Gemini integrations
- Languages: Python, Go, Java, SQL, TypeScript
- Backend: FastAPI, Flask, Spring Boot, Django REST Framework
- Data: PostgreSQL, Redis, MongoDB, PySpark, Pandas
- ML: scikit-learn, XGBoost, LightGBM
- Tools: Docker, AWS, Git, Linux