Shekhar Tanwar

Shekhar Tanwar

Machine Learning Engineer @ United Health Care
10+ Years Of Experience in Machine Learning and Natural Language Processing
United States of America
Speaks English and Hindi
Active this month Usually responds in a week or longer

Services

$200 / month

Best suited for mentees who want to switch roles to Data Scientist or Machine Learning Engineer.

2 calls per month (34min/call)

Unlimited Q&A via chat

Expect responses in 24 hours or less

Hands-on support

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About

Hi, I’m Shekhar.

I am a Senior Machine Learning Engineer with 10+ years of experience designing and deploying large-scale NLP, Search, and Generative AI systems in production. My work spans end-to-end ownership of Query Understanding, Representation Learning, Retrieval, and LLM/SLM evaluation pipelines that serve millions of requests daily at sub-200 ms latency.

Across companies like DoorDash, UnitedHealth Group, and Highmark, I have led initiatives that improved retrieval recall from ~79% to 95%, reduced claim and case resolution times by up to 85%, and built robust LLM evaluation systems (“LLM Judges”) that assess models across 15+ qualitative, compliance, and safety dimensions. I specialize in fine-tuning embedding models, SLMs, and LLMs (LoRA, PEFT, DDP), architecting hybrid search systems (BM25 + vectors), and operationalizing agentic workflows for data annotation, evaluation, and RAG.

Who I mentor and how I help:

I work best with engineers and researchers who want to move beyond theory and build real, production-grade ML systems. Typical mentees include:
• ML Engineers aiming to break into Search, Retrieval, or Relevance teams
• Engineers transitioning into Generative AI, RAG, or Agentic AI roles

My mentoring style is highly applied and system-oriented. Together, we can:
• Design and fine-tune embedding models and small language models for real-world retrieval and routing tasks
• Build end-to-end RAG systems with proper evaluation, monitoring, and cost controls
• Develop LLM evaluation frameworks (LLM-as-Judge, error taxonomies, offline + online metrics)
• Strengthen ML system design thinking, from data pipelines to inference optimization and deployment

You can expect concrete guidance, architecture reviews, hands-on debugging, and honest feedback grounded in production experience.

If you are serious about building scalable NLP and Generative AI systems and want mentorship that emphasizes depth, rigor, and real-world impact I’d be happy to work with you. Book a session, share your goals, and we’ll create a focused plan to help you grow faster and with confidence.

This is how real progress happens

Mentees who work with a mentor for 3+ months reach their goals 2x faster than those going it alone. Long-term mentorship means fewer false starts, more focused sessions, and support that builds week after week.

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Skills

Natural Language Processing Deep Learning Machine Learning Software Engineering Software Development Kubernetes AWS Coding Data Science Docker containers API Career Growth Career Coaching Career Development Career Change Career Transition Engineering Data Data scientist Data Structures Coaching Career Python PyTorch Lambda airflow Artificial Intelligence Scaling