Create your free profile

About

Software Engineering graduate specializing in Computer Science, object-oriented design, and full-stack system architecture. Proficient in building resilient microservices, RESTful APIs, and scalable web applications using Python, Java, FastAPI, PostgreSQL, and Docker. Experienced in orchestrating automated CI/CD pipelines, optimizing database queries, and shipping well-tested software through open-source collaborations.

Experience1

  1. Open Source Contributor

    Present

    Wikimedia Foundation

    Developed and maintained a data analytics dashboard processing 350,000+ Wikipedia articles using Python, Streamlit, and MySQL, serving over 1,000+ active global editors. Optimized SQL queries and database connection pools in PAWS (Wikimedia’s Jupyter environment) to extract platform metrics and reduce query response times. Collaborated with international maintainers via Git version control to write maintainable code, conduct peer code reviews, and resolve platform issues.

    • Developed a dashboard processing 350,000+ Wikipedia articles
    • Served over 1,000+ active global editors
    • Optimized SQL queries to reduce response times

Projects3

  • DealDrop – Full-Stack Automated Price Tracking Platform

    Engineered a full-stack tracking application monitoring 50+ live products concurrently, utilizing a React (Vite) frontend and a high-performance FastAPI backend connected via RESTful APIs.

    Open on github
    • React (Vite)
    • FastAPI
    • RESTful APIs
    • PostgreSQL
    • SQLAlchemy ORM
    • Docker

  • Delivery Time Prediction – Predictive Backend Pipeline

    Built an end-to-end predictive engineering pipeline handling 45,593 records (20 features), orchestrating continuous data versioning with DVC to guarantee reproducibility across environments.

    Open on github
    • DVC
    • MLflow
    • LightGBM
    • RandomForest

  • GenAI Medical Assistant – High-Throughput RAG Service

    Designed a high-throughput Retrieval-Augmented Generation (RAG) backend utilizing LangChain, Flask, Hugging Face Embeddings, and Pinecone to execute fast vector similarity searches.

    Open on github
    • LangChain
    • Flask
    • Hugging Face
    • Pinecone

Education1

  • B.Tech in Computer Science & Engineering (AI & ML)

    2022 — 2026

    Vasireddy Venkatadri Institute of Technology