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