About
I architect systems that treat scale as a first-class citizen. Over the last ~8 years at Draup, I’ve evolved a manual data ingestion process into a high-throughput, distributed platform processing 50M+ daily tasks and 30M+ daily requests. My work centers on decoupling engineering from operations: I designed a GraphQL-inspired extraction DSL and a config-driven engine that enables 100k+ source onboarding without code redeploys. Core Impact: Scale: Orchestrated a multi-layered backend (Temporal, Airflow, Redis, MongoDB, Elasticsearch) to manage massive task volatility. Efficiency: Optimized MongoDB architecture for multi-terabyte datasets, delivering 10x query performance gains. Future-Proofing: Currently leading the shift to AI-native automation, using LLMs to generate platform configs and reduce manual setup by 90%. Platform Logic: Designed a config-driven engine that abstracts extraction, pagination, and proxy management. Stack: Python (FastAPI/Django), Temporal, Celery, MongoDB, Playwright, AWS, LLM Orchestration. I am passionate about building the infrastructure that allows AI to do the "heavy lifting" of system maintenance and scaling.
Work experience
SDE - IV at Draup, Jan 2025 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, Scaling, Mentorship, Automation, Enabling AI
SDE - III at Draup, Jan 2023 - Dec 2024 · 2 yrs, Bengaluru, Karnataka, India, Major Migrations, Architecture, Scaling
SDE - II at Draup, Jun 2021 - Dec 2022 · 1 yr 7 mos, Bengaluru, Karnataka, India
Software Engineer Intern at LetsVenture, Apr 2017 - Jun 2017 · 3 mos, Bengaluru Area, India
