Professional Experience
FastApi, Django, DRF, PostgreSQL, AWS, Redis, Celery, RabbitMQ, Docker
Software Engineer 2January 2026 - Present
Software Engineer 1February 2024 - December 2025
Software Engineer TraineeAugust 2023 - January 2024
- Owned and Designed a lead enrichment workflow combining web scraping, data extraction, and semantic analysis to generate high-quality prospect datasets that supported $50M+ in annual revenue opportunities.
- Owned and evolved a production-scale Node.js/Puppeteer web scraping platform processing 200K+ websites/month, transitioning an externally developed system to internal ownership while improving maintainability, reliability, and operational practices.
- Developed an ML-powered semantic font-matching system using transformer-based embeddings and approximate nearest neighbor search, automating a previously manual workflow and reducing processing time by 85%.
- Engineered a high-performance data consolidation pipeline to process millions of records across multiple tables in Excel using cursor-based pagination, raw SQL, and streaming iterators, reducing memory usage by 80% and eliminating timeouts.
- Designed and implemented Celery-based distributed asynchronous task pipelines in RabbitMQ to handle long-running jobs, introducing parallel execution and retry-safe mechanisms, reducing execution time by 40% and eliminating timeout failures.
- Engineered a fault-tolerant PDF processing pipeline using Django and Celery, introducing asynchronous stage-based workflows, idempotent task execution, and retry mechanisms to handle large files reliably without duplication or timeouts.
- Optimized critical backend workflows using multithreading and multiprocessing, achieving an 80% performance improvement in automation services and scripts.
Key Projects
AI Knowledge Assistant (RAG)
FastAPI, Python, PostgreSQL, Redis, Celery, Qdrant, Docker- Built a Retrieval-Augmented Generation (RAG) platform using FastAPI, implementing document ingestion, chunking, embeddings, and vector search to enable context-aware question answering.
- Designed a scalable retrieval pipeline with Redis, Celery, and PostgreSQL, supporting asynchronous document indexing, metadata filtering, and low-latency semantic search.
Education
Bachelors of Technology - Electronics and Communications
Score: 8.0 CGPA
Achievements and Honors
- 199 Global rank in October Long Challenge on Codechef out of 17,000 contestants (username: novoid).
- First author of the research paper "Image Captioning Using Python" published in IEEE Xplore.