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I'm a passionate Engineer based in the San Francisco Bay Area with a focus on machine learning and data analytics. I thrive on solving complex problems and delivering impactful solutions through innovative technology.…

Mitesh Singh

Data Scientist, Cloud Developer, AI Engineer, +2

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I'm a passionate Engineer based in the San Francisco Bay Area with a focus on machine learning and data analytics. I thrive on solving complex problems and delivering impactful solutions through innovative technology.…

Available to hire

I’m a passionate Engineer based in the San Francisco Bay Area with a focus on machine learning and data analytics. I thrive on solving complex problems and delivering impactful solutions through innovative technology.

Skills

Experience Level

Expert

Expert

Expert

Expert

Work Experience

Forward Deployed Engineer at Postman

August 31, 2025 - October 22, 2025

Shipped an AI agent in Postman Flows, automating candidate screening against hiring requirements as a Slackbot. Developed Node.js/Express.js microservices with Cursor, hosted on ArgoCD, featuring PDF/Word resume parsing. Devised a data pipeline connecting Airtable for store data to track usage analytics across different AI agents. Wrote test scripts in Postman for validation, data transformation, and error handling across multiple API endpoints.

Machine Learning Engineer at Humanitarians AI

July 31, 2025 - October 22, 2025

Created an AI-powered travel assistant using Model Context Protocols, integrating external APIs (weather, flights, accommodations) via FastMCP validated with FastAPI. Developed a CrewAI multi-agent marketing researcher with RAG over unstructured documents ingesting web/blog data via the Firebase REST API.

Data Scientist at Takachar

August 31, 2024 - October 22, 2025

Devised Standard Operating Procedures(SOPs) across production sites, optimizing data collection by 30%. Managed, cleaned, and processed production data from 4 countries using Git, increasing efficiency by 10%. Automated business reports using Python, R, and Excel reducing reporting time and enhancing decision-making. Analyzed time-series data to identify faulty components, leading to an 18% reduction in equipment downtime.