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Samarth Tanay

@samarthtanay

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I build AI systems for document intelligence, object detection evaluation, and production-ready deployment workflows.

India

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What I'm looking for

I'm looking to build practical AI systems, especially in computer vision, document intelligence, and production ML deployment, where I can turn research workflows into reliable user-facing products.

At Mercer | Mettl, I build reusable evaluation and deployment workflows for object detection models used in automated online-test proctoring. I standardized benchmarking across 15+ models and improved repeatable, production-focused inference evaluation using Python, PyTorch, ONNX Runtime, TensorFlow.js, and OpenVINO.

Previously at Powergrid Corporation of India, I built a GenAI document retrieval system that reduced manual search time by 70% and enabled real-time Q&A over 100+ page PDFs. I also developed SYD.ai, a full-stack RAG document assistant, and strengthened its deployment with Docker, Kubernetes, Jenkins, Prometheus, and Grafana.

Experience

Work history, roles, and key accomplishments

Current

AI Intern

Current

Mercer | Mettl

Jan 2026 - Present (7 months)

Worked in the Product Team on evaluation and deployment workflows for object detection models for automated proctoring during online tests. Standardized benchmarking across 15+ models and designed offline confidence-threshold sweep workflows.

Python PyTorch ONNX Runtime TensorFlow JS OpenVINO Object Detection Evaluation Pipelines Deployment

Intern

Powergrid Corporation of India Ltd. (PGCIL)

Jun 2025 - Jul 2025 (1 month)

Built a document retrieval system using GenAI for intelligent querying over complex PDFs, reducing manual search time by 70% and enabling real-time Q&A over 100+ page documents.

RAG Vector Databases Semantic Search Streamlit fastAPI .NET