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Amaresh HebbarAH
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Amaresh Hebbar

@amareshhebbar

AI/ML engineer shipping end-to-end LLM-powered products—fine-tuning, inference, and production backend integration.

India
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What I'm looking for

I’m looking for a team where I can own end-to-end LLM product delivery—fine-tuning and evaluation, reliable deployment, and tight mobile/backend integration—while focusing on quality, safety, and measurable performance.

I’m an AI/ML engineer with production experience architecting and shipping LLM-powered products end-to-end—model fine-tuning, backend infrastructure, and mobile integration. I led engineering delivery for a health-tech platform spanning document extraction, ICD-10/insurance intelligence, and 3D organ visualization, and I mentored 10 interns across the AI product suite.

I’ve published 20+ fine-tuned models on HuggingFace across medical, retrieval, and code domains, and I thrive in end-to-end delivery loops: from dataset curation and RLHF-style workflows to deployment and evaluation. At Studio Ilios/Humanova Minds, I shipped OceanAI with validation from 47 external testers, built on-device local LLM inference with cloud fallback routing, and maintained ~80% fully-offline sessions at a 45ms baseline latency with monitored degraded fallback.

Experience

Work history, roles, and key accomplishments

SM
Current

AI/ML Engineer — Fine-Tuning & Eval

Studio Ilios / Humanova Minds

Mar 2025 - Present (1 year 5 months)

Architected and shipped OceanAI end-to-end, including fine-tuning and evaluation workflows, backend stability, and mobile integration for on-device LLM inference with cloud fallback.

Education

Degrees, certifications, and relevant coursework

DE

Dayananda Sagar College of Engineering

Bachelor of Engineering, Computer Science & Engineering

2021 - 2025

Earned a B.E. in Computer Science & Engineering from Dayananda Sagar College of Engineering (2021–2025).

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