• Python Backend Developer with hands-on experience in building scalable services and data pipelines using FastAPI, ELK Stack, Pandas, Kafka, and ETL workflows.
• Built high-performance ETL pipelines to process 100K+ Elasticsearch records, export to Excel/CSV, and transfer via Paramiko, using multithreading to cut report generation time by 60% and streamline workflows.
• Developed a scalable Kafka architecture with a daily cron producer and 5-server consumer group to generate 50+ circle-wise reports in parallel, later extended to weekly, monthly, and quarterly pipelines for full automation.
• Engineered a dynamic config management system with Python’s ConfigParser to auto-load env-specific .ini files, reducing errors by 90% and enabling seamless environment switching.

• Worked as a NextJS Developer Intern, I worked on building and maintaining full-stack applications using Next.js v14, TailwindCSS, and Docker.
• Developed and managed APIs for platforms like debales.ai and brainlox.ai, integrating FastAPI and Express backends and deploying on AWS with DynamoDB database.
• Designed chatbot-enabled websites using Retrieval-Augmented Generation (RAG) architecture, leveraging open-source LLMs such as OpenAI and Google Gemini along with vector databases like Pinecone and FAISS through Langchain.

Student of Bachelor of Technology(B.Tech) with specialization in Computer Science and Engineering(CSE).

Student of Science (PCM) in class 12th of CBSE board

Class 10th of CBSE board