---
title: "Satvik Yadav - Machine Learning Engineer in Hyderabad | Tal"
description: "Meet Satvik Yadav, Machine Learning Engineer @ Amgen | Ex-Data Scientist 2 @ BMS | Machine Learning, GenAI & Agentic AI | Applied AI systems based in Hyderabad. AI stack includes claude code, codex, and hugging face."
image: "https://tal.club/meet/satvik-yadav/share-image"
---

# Satvik Yadav on Tal

## Headline

Machine Learning Engineer @ Amgen \| Ex\-Data Scientist 2 @ BMS \| Machine Learning, GenAI & Agentic AI \| Applied AI systems

## About

Machine Learning Engineer with 5\+ years of experience designing and deploying production\-grade Machine Learning, Deep Learning, NLP, GenAI, and Agentic AI systems\. I currently work at Amgen, where I build end\-to\-end ML and LLM\-powered solutions across healthcare, manufacturing, and enterprise operations \- spanning applied research, model development, and large\-scale deployment\. 🔹 Core expertise: Machine Learning \| Deep Learning \| NLP \| Generative AI \| Large Language Models \(LLMs\) \| LLMOps \| RAG \| Agentic AI \| Applied ML Research \| A/B Testing \| Causal Inference \| MLOps \| Python \| SQL \| AWS \| Azure \| Neo4j 🔹 Roles I operate in: Senior Data Scientist \| Machine Learning Engineer \| Applied Scientist \| GenAI / AI Engineer \| MLOps and deployment 🔹 Impact highlights: • Architected LangGraph\-based multi\-agent GenAI systems \(LLMs \+ RAG\) reducing triage time by 70% • Built ML & deep learning models \(BiLSTM, Transformers, XGBoost\) achieving 85–92% accuracy in production environments • Designed Neo4j knowledge graphs enabling 3× faster dependency and lineage analysis • Deployed ML services using FastAPI, Docker, Kubernetes, MLflow with monitoring via Prometheus & Grafana I enjoy working at the intersection of applied research and real\-world systems \- turning complex data into scalable, high\-impact AI products\. 📌 Open to Senior Data Scientist, Data Scientist, Machine Learning Engineer, Applied Scientist, and AI Engineer roles\.

## Location

Hyderabad

## AI stack

claude code

codex

hugging face

langchain

langfuse

langgraph

## Work experience

Machine Learning Engineer at Amgen, Feb 2026 \- Present · 10 mos, Hyderabad, Telangana, India, • Developed and deployed scalable machine learning solutions to enhance patient\-centric decision\-making in life sciences\. • Designed end\-to\-end ML pipelines, including data ingestion, feature engineering, and model deployment\. • Collaborated with cross\-functional teams to translate complex business problems into effective ML strategies\.

Data Scientist 2 at Bristol Myers Squibb, Feb 2025 \- Feb 2026 · 1 yr 1 mo, Hyderabad, Telangana, India, • Architected a LangGraph\-powered multi\-agent GenAI system \(LLMs \+ RAG\) automating and reducing triage time by 70% • Built and deployed production ML & deep learning models \(BiLSTM, Transformers, XGBoost\) achieving up to 92% accuracy vaccine manufacturing • Designed Neo4j knowledge graphs for real\-time relationship analysis and lineage tracking across 100\+ entities • Deployed scalable ML services using FastAPI, Docker, Kubernetes, MLflow with full model monitoring

Data Engineer at EY, Sep 2022 \- Jan 2025 · 2 yrs 5 mos, Gurugram, Haryana, India, • Built end\-to\-end data and ML pipelines using Python, Airflow, Azure, and Power BI, saving 5,000\+ hours annually • Developed real\-time analytics and GenAI\-assisted tools improving operational efficiency by 70–80% • Implemented NLP and ML models \(LexRank, RNNs\) reducing manual work by up to 90%

Project Engineer at Wipro Limited, Nov 2020 \- Sep 2022 · 1 yr 11 mos, Pune Division, Maharashtra, India

## Education

Executive PG, Data Science, International Institute of Information Technology Bangalore

Bachelor of Technology, Electronics and Communications Engineering, ABES Engineering College

[View the original profile](https://tal.club/meet/satvik-yadav)

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