Senzary
Reworked ingestion and validation for a platform serving 50,000+ devices. Errors fell from 64% to 0%, restoring about one-second latency across 180+ facilities. Built two Node.js MCP servers with 59 tools.
I work across TypeScript, React, Node.js, and Python, mostly on product features, APIs, and reliability.
Recent product and engineering work
Reworked ingestion and validation for a platform serving 50,000+ devices. Errors fell from 64% to 0%, restoring about one-second latency across 180+ facilities. Built two Node.js MCP servers with 59 tools.
Built onboarding, DRM course delivery, livestream, and checkout features for a creator platform serving 15,000+ creators. Worked across React, TypeScript, Node/Express, and PostgreSQL.
Built Node.js and FastAPI services for emergency-volume and revenue modeling across 11 hospitals. Moved financial calculations server-side and added regression checks.
Created ingestion and scraping APIs for growth tools covering keyword trends, sentiment, and answer-engine visibility, with webhook alerts.
Contributed to Project Neo’s ML engineering evaluation program using public datasets and real CPU pipelines. Work spanned reproducible data setup, realistic failure and recovery paths, and grading checks validated against gold, alternate, and negative solutions.
Before software, I studied Mechanical & Automation Engineering at Guru Gobind Singh Indraprastha University (2018–22).
A short introduction in Harkirat Singh’s “6 Experts vs 6 Beginners: The Dev Job Market in 2026.” My segment starts at 5:16.
Watch on YouTube ↗