Tanuj M

AI/ML Engineer @ Merck

About

Senior AI/ML Engineer with 8+ years of experience designing and delivering production-grade AI systems across pharmaceutical, insurance, retail, and IT services industries. Specialized in Generative AI and LLM integration, building RAG pipelines, prompt engineering frameworks, and LLM observability systems for regulated enterprise environments. Experienced in end-to-end ML engineering, recommendation systems, collaborative filtering, deep neural ranking, and real-time model serving via REST APIs.Proficient across AWS and Azure cloud ecosystems, with hands-on expertise in Python, Kedro, Langfuse, OpenSearch, Databricks, and Azure ML. Passionate about building AI systems that reach production and create measurable business impact.

Country

City

United States

Industry

Higher Education

Skill

langfuse, AWS Bedrock, Kedro, Large Language Models (LLM), Azure Data Factory, Azure Databricks, Elasticsearch, Django, PostgreSQL, FastAPI, MongoDB, Data Analysis, Analytical Skills, Machine Learning, Microsoft Excel, Deep Learning, Spring Boot, REST APIs, Git, Flyway

Experience

AI/ML Engineer

Merck

2024-8 - Present · 2 yrs 2 mos

New Jersey, United States

Contributing as a AI/ML Engineer at Merck Animal Health, co-developing an LLM-powered Clinical Study Report authoring platform with McKinsey's QuantumBlack, reducing regulatory draft time from 2–3 weeks to 3–4 days with 50% fewer errors. Built RAG pipelines using AWS Bedrock and Amazon OpenSearch Serverless, with Kedro for clinical data pre-processing.

Machine Learning Engineer

Chubb

2022-4 - 2024-1 · 1 yr 10 mos

Built an Insurance Product Recommendation System for Chubb Studio, Chubb's global B2B2C embedded insurance platform, using a hybrid collaborative filtering and deep neural ranking architecture on Azure. Delivered real-time personalized recommendations via REST API across partner channels globally, with continuous model improvement through a closed-loop feedback system.

Python Developer

bigbasket

2019-2 - 2022-3 · 3 yrs 2 mos

Bengaluru

Contributed to BigBasket's core backend platform — India's largest online grocery store — building Python/Django REST Framework microservices powering slot booking, BBDaily subscription delivery, and Elasticsearch-driven product catalog search across 18,000+ SKUs. Implemented Celery-Redis async pipelines and contributed to the monolith-to-microservices migration serving millions of users across 25+ Indian cities.

Data Analyst

LTI - Larsen & Toubro Infotech

2016-3 - 2019-1 · 2 yrs 11 mos

Hyderabad

Supported data reporting, quality, and analytics deliverables for BFSI-domain enterprise clients within LTI's Analytics & Information Management practice. Wrote SQL queries for MIS reporting, built Excel dashboards with KPIs for client stakeholders, performed data quality checks, and assisted senior analysts with ad-hoc data analysis — building a strong foundation in enterprise data workflows and client delivery.