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Prathamesh Madane

Prathamesh Madane

Full Stack Engineer with hands-on experience designing and shipping production-grade systems end-to-end

Talent
PuneMember since September 12, 2026
PythonTypeScriptReact.jsNode.jsREST APIsOAuth2.0OpenFGAMongoDBRedisAWSS3
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PythonTypeScriptReact.jsNode.jsREST APIs

About

Full Stack Engineer with hands-on experience designing and shipping production-grade systems end-to-end, including AI agent-driven features built on LLM-based evaluation pipelines. Proficient in Python, TypeScript, React.js, and Node.js, with practical experience integrating AI-powered automation into real products and deploying them on cloud infrastructure. Comfortable working independently across the stack, from API design and AI/automation integration to deployment.

Experience

SDE Intern at I Knowledge Factory Pvt. Ltd. (IKF) (2026-04 – 2026-07)

  • Created HireFast, an AI-powered candidate hiring platform: engineered the resume upload and AI agent evaluation pipeline that scores each candidate and sorts them into categories like 'Recommended', cutting manual HR screening time by roughly 50%
  • Developed integrated candidate outreach via WhatsApp and email directly within the platform, unifying all communication history in one view and enabling HR to log notes on each candidate throughout the hiring process
  • Designed a 60-day resume re-evaluation window so a given resume is not re-scanned by the AI pipeline unless HR explicitly requests it, reducing redundant AI evaluation runs
  • Automated sales workflows with n8n, including a lead intelligence agent that converts website enquiry emails into structured HTML sales reports, and a meeting intelligence agent that turns sales call transcripts into structured CRM notes, deal scoring, and follow-up emails
  • Set up Python backend services with Pydantic v2 for data validation and modeling across the automation pipelines

React Developer Intern at National Centre for Radio Astrophysics (NCRA-TIFR) (2024-12 – 2025-03)

  • Built a data-intensive analytics dashboard in React.js to visualize 15+ years of system reliability data, enabling faster operational decision-making
  • Implemented engineering reliability metrics MTBF, MTTF, and failure rates for system-level performance diagnostics

Education

Bachelor of Engineering in Electronics & Telecommunication – Government College of Engineering and Research, Pune (2022 – 2026)

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