Saish Korgaonkar

Engineering Manager, AI Inference Systems

https://www.opentalent.in/saish-korgaonkar

Computer Engineering @ KJSCE AI Systems | Distributed Infrastructure | RAG & Agents Building production-grade, real-world systems 4x Hackathon Winner

Mumbai, India

Key Strengths

Demonstrated interest in AI/ML through projects like 'AI_LABCA_checkIT' and 'ET-genai', which aligns with the target role of Engineering Manager, AI Inference Systems.
Experience with Go and Dockerfile in projects like 'compiler-service' and 'comput3' indicates potential for backend and deployment aspects relevant to AI inference systems.
Exposure to Solidity and blockchain concepts in multiple projects ('StakED', 'HI.FI', 'AI_LABCA_checkIT') suggests a diverse technical background, though not directly related to AI inference.

Cultural & Operational Fit

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

compiler-service

May 25, 2026 – Present

compiler-service — GitHub repository

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comput3

April 29, 2026 – Present

Project for Ethglobal openagents

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repomate_photon_project

April 19, 2026 – Present

RepoMate

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hackx

April 11, 2026 – Present

hackx — GitHub repository

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ET-genai

March 29, 2026 – Present

ET-genai — GitHub repository

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AI_LABCA_checkIT

March 22, 2026 – Present

AI-powered fact-checking platform that combines a Triple-Check Investigation System with a decentralized-style Truth DAO to verify claims, combat misinformation, and grade news authenticity.

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HI.FI

January 30, 2026 – Present

HI.FI — GitHub repository

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StakED

October 28, 2025 – Present

StakED is a decentralized, gamified platform that lets students stake on academic performance using PayPal’s PYUSD stablecoin and earn rewards based on real, verified results.

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StakED

October 14, 2025 – October 26, 2025

StakED: Stake on performance and earn on results

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eventio-3.0

August 9, 2024 – Present

Full-stack college event management platform with role-based access for students, councils, faculty, and administrators. Features event creation, team-based registrations, fee collection, attendance tracking, and PDF reports with Google OAuth authentication.

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Key Strengths

Demonstrated interest in AI/ML through projects like 'AI_LABCA_checkIT' and 'ET-genai', which aligns with the target role of Engineering Manager, AI Inference Systems.
Experience with Go and Dockerfile in projects like 'compiler-service' and 'comput3' indicates potential for backend and deployment aspects relevant to AI inference systems.
Exposure to Solidity and blockchain concepts in multiple projects ('StakED', 'HI.FI', 'AI_LABCA_checkIT') suggests a diverse technical background, though not directly related to AI inference.

Cultural & Operational Fit

The candidate's project portfolio shows a strong inclination towards personal projects, including several in the Web3/blockchain space. While demonstrating initiative and a broad interest in technology, the direct alignment with an 'Engineering Manager, AI Inference Systems' role is limited. The projects indicate a builder mindset, which is positive, but the lack of team-based or leadership experience in the provided data makes it difficult to assess cultural fit for a managerial role. The diversity of technologies (TypeScript, Go, Python, Solidity) suggests adaptability.

Saish Korgaonkar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit