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Tarun KhuranaTK
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Tarun Khurana

@tarunkhurana

Senior AI/ML Engineer delivering end-to-end, production-ready ML and GenAI systems.

India
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What I'm looking for

I’m looking to build production ML/GenAI systems on AWS—owning the full lifecycle with strong monitoring, experimentation, and measurable business impact, while partnering with stakeholders to translate complex models into clear decisions.

I’m a Senior AI/ML Engineer with 5+ years architecting, training, and deploying machine learning models and AI-powered systems in production. I bring deep expertise across the full ML lifecycle—from data engineering and feature development to model training, deployment, and monitoring—plus hands-on LLM integration, RAG pipelines, and GenAI workflows on AWS.

I consistently drive measurable business outcomes: ~15% lift in customer retention, 50% faster knowledge retrieval, and $200K+ in cost savings. At TCS, I built AWS Bedrock–based internal knowledge retrieval APIs, automated feature engineering to improve training turnaround by 2x, and implemented drift detection with retraining triggers to reduce degradation incidents by 30%—while mentoring junior engineers and standardizing production-ready practices.

Experience

Work history, roles, and key accomplishments

TS
Current

AI/ML Engineer

Jan 2023 - Present (3 years 5 months)

Architected end-to-end ML pipelines for customer churn prediction, improving client retention by ~15% across 3 major accounts. Built AWS Bedrock LLM integration for knowledge retrieval, reducing analyst research time by 50%, and implemented automated feature engineering and MLOps monitoring to cut manual prep 40% and reduce degradation incidents by 30%.

Education

Degrees, certifications, and relevant coursework

NMIMS (Narsee Monjee Institute of Management Studies) logoNS

NMIMS (Narsee Monjee Institute of Management Studies)

Master of Business Administration, Business Management

2021 - 2023

Earned an MBA in Business Management from NMIMS from 2021 to 2023.

UPES (University of Petroleum and Energy Studies) logoUS

UPES (University of Petroleum and Energy Studies)

Bachelor of Technology, Computer Science

2016 - 2020

Earned a B.Tech in Computer Science from UPES from 2016 to 2020.

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