Himanshu Bhatnagar

AI Engineer

https://www.opentalent.in/himanshu-bhatnagar

Jaipur, Rajasthan, IndiaMember since March 18, 2026

Key Strengths

Extensive experience (10 years) in ML/AI, with a strong recent focus on Generative AI and LLM systems.
Proven technical leadership in designing and implementing GenAI platforms, specifically for data lineage extraction (OpenLineage, Marquez, NetworkX).
Deep expertise in LLM fine-tuning (PEFT, LoRA), RAG, and prompt engineering for enterprise solutions.
Solid MLOps capabilities, including Docker, Kubernetes, AWS SageMaker, and FastAPI for model deployment and inference.
Strong data engineering skills with PySpark, SQL, Kafka, and experience with batch and streaming pipelines.
Proficiency in traditional ML models (XGBoost, LightGBM, CatBoost) and robust model evaluation methodologies (AUC, F1, precision, recall).
Relevant M.Tech degree in AI/ML and industry certifications (NVIDIA Certified Associate | Generative AI LLMS).
Demonstrated ability to lead small teams while remaining hands-on with core technical design, reviews, and delivery.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric test to assess cultural fit.

Soft Skills & Operational Fit

Demonstrated leadership in GenAI project delivery, including design, technical reviews, testing, and team guidance. Experience in mentoring junior data scientists/engineers. Strong focus on validation and reconciliation, indicating attention to detail and quality assurance. Assessment of soft skills and operational fit is primarily inferred from job descriptions due to the absence of psychometric test data.

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Experience

EXL

Technical Lead (Gen AI)

April 1, 2024 – Present

EXL

Senior ML/AI Engineer

November 1, 2021 – April 1, 2024

TCS

ML/AI Engineer

November 1, 2018 – November 1, 2021

TCS

Python Developer

November 1, 2015 – November 1, 2018

Key Strengths

Extensive experience (10 years) in ML/AI, with a strong recent focus on Generative AI and LLM systems.
Proven technical leadership in designing and implementing GenAI platforms, specifically for data lineage extraction (OpenLineage, Marquez, NetworkX).
Deep expertise in LLM fine-tuning (PEFT, LoRA), RAG, and prompt engineering for enterprise solutions.
Solid MLOps capabilities, including Docker, Kubernetes, AWS SageMaker, and FastAPI for model deployment and inference.
Strong data engineering skills with PySpark, SQL, Kafka, and experience with batch and streaming pipelines.
Proficiency in traditional ML models (XGBoost, LightGBM, CatBoost) and robust model evaluation methodologies (AUC, F1, precision, recall).
Relevant M.Tech degree in AI/ML and industry certifications (NVIDIA Certified Associate | Generative AI LLMS).
Demonstrated ability to lead small teams while remaining hands-on with core technical design, reviews, and delivery.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric test to assess cultural fit.

Soft Skills & Operational Fit