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Amit Yadav

@amityadav9

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AI/ML engineer shipping end-to-end RAG, agents, and edge inference systems with production-grade monitoring.

United States

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What I'm looking for

I’m looking for an AI/ML role where I can ship production systems end-to-end—RAG/LLMs, latency-safe inference, and edge or mobile deployment—paired with strong engineering ownership: monitoring, CI/CD, and measurable performance gains.

I build AI/ML systems end-to-end—from model selection and evaluation to production plumbing, monitoring, and deployment. I’m strongest where reliability matters: inference latency, offline/online guarantees, and measurable quality improvements.

In production work, I’ve built enterprise AI integration layers on AWS with reusable adapter patterns and versioned APIs, cutting client onboarding time by 40%. I also diagnosed LLM inference latency regressions, migrated to a service-tier architecture, and restored sub-100ms prediction SLAs while owning monitoring and alerting end-to-end.

My research and applied engineering mix well: I’ve shipped time-series anomaly classification on multi-channel sensor data with ONNX edge deployment, built quantization and CI/CD pipelines for an iOS deployment pipeline, and led a small team to deliver industrial defect detection with 97%+ accuracy and 60% inspection-time reduction. I’ve also co-authored peer-reviewed computer-vision papers and contribute to open source through Google Summer of Code.

Experience

Work history, roles, and key accomplishments

Open Source Developer

Kiwix Foundation

Dec 2025 - Mar 2026 (3 months)

Authored 5 PRs for openzim/phet with 4 merged under maintainer review. Improved privacy and offline guarantees by removing an external Cloudflare beacon.

Open Source Contributions Openzim Phet Offline Guarantees Cloudflare Code Review Maintainer Collaboration Remote Remote TypeScript JavaScript Docker

Graduate Research Assistant

Boston University

Aug 2025 - Dec 2025 (4 months)

Fine-tuned LLMs on constrained compute and built quantization and deployment pipelines for an iOS research application. Owned CI/CD for model artifacts to streamline repeatable releases.

LLM Fine tuning CI CD Model Artifacts Management Transformers BERT Core ML

AI Engineer

Nuvista Technologies Inc.

Mar 2025 - Jul 2025 (4 months)

Built an enterprise AI integration layer on AWS with reusable adapters and versioned REST APIs, cutting client onboarding time by 40%. Diagnosed an LLM inference latency regression, migrated to a service-tier architecture, and restored SLAs with sub-100ms predictions while owning monitoring and alerting end-to-end.

AWS LLM Inference Optimization Monitoring And Alerting

Machine Learning Researcher

National Institute of Technology, Surat

Dec 2023 - May 2024 (5 months)

Led a 4-engineer team implementing CNN, R-CNN, and YOLOv8 for industrial defect detection, achieving 97%+ accuracy while reducing inspection time by 60%. Co-authored 3 peer-reviewed papers and presented at the IIT BHU AIMTDR international conference.

Computer Vision CNN YOLOv8 Team Leadership

Education

Degrees, certifications, and relevant coursework

Boston University

Masters, Computer Science

2024 - 2026

Grade: 3.42

Activities and societies: Artificial Intelligence Club

Served as a Graduate Research Assistant in the Computer Science Department at Boston University from Sep 2025 to Jan 2026. Fine-tuned LLMs on constrained compute and built quantization and deployment pipelines for an iOS research application.