🌱 I’m currently learning: Machine Learning, AI/LLM integration
📫 Reach me at: [email protected]
📄 View my resume: Resume (PDF)
💼 Open to: Full-time Full-Stack / Backend Developer roles

• Frontend: React, TypeScript, JavaScript, Bootstrap, Tailwind, HTML, CSS
• Backend: Python (FastAPI, Flask, Django), Node.js, Spring Boot
• Databases: PostgreSQL, MySQL, MongoDB
• AI & Data: Pandas, NumPy, Scikit-learn, Spark, Airflow, Generative AI, NLP
• Cloud & DevOps: AWS (EC2, RDS, S3, Lambda), Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins)
• Tools: Git, Postman, Firebase, HuggingFace

Jan 2021 – Sep 2023

• Built and maintained high-performance backend services (Python, FastAPI, Flask) handling 500k+ daily transactions.
• Designed and deployed REST APIs & microservices with PostgreSQL and MongoDB.
• Integrated AI/LLM models for NLP & Generative AI features in backend pipelines.
• Collaborated in Agile teams (sprint planning, Git-based workflows, CI/CD).

Sep 2020 – Jan 2021

• Developed Spring Boot REST APIs, deployed on AWS (EC2, RDS, S3).
• Helped migrate from monolith to microservices, improving scalability.
• Improved API performance via query optimization & caching (~25% faster).
• Participated in client demos and code reviews, ensuring technical alignment.

• Stack: React, Node.js, Express, MongoDB, Firebase
• Built an online marketplace to buy, sell & bid books with real-time bidding (WebSockets).
• Added secure JWT auth, seller dashboards, and instant notifications.

• Stack: Python, Pandas, Airflow, Spark, Kibana, MySQL
• Built an ETL pipeline integrating data from multiple APIs & CSV sources.
• Automated workflows using Airflow DAGs and processed datasets with Spark.
• Visualized global COVID trends via interactive Kibana dashboards.