Headline

MS CS(AI) @ UMass Amherst | Applied AI/DS @ Walmart, Airtel

About

👋 Hi, I’m Anindya. I’ve spent the last 6+ years working in Applied AI and Data Science, most recently as a Senior DS at Walmart. I am deeply interested in the synergy between NLP and Reinforcement Learning, specifically in how they converge to create Agentic Systems that are both robust and aligned with human intent. I’m passionate about building production-ready AI systems that combine Machine Learning, GenAI, MLOps, and scalable data pipelines to solve real business problems. I’m comfortable taking full ownership of projects, from initial design through to final development. Always open to connecting and discussing impactful opportunities in ML Engineering, Applied AI, NLP, GenAI, RAG, Ad tech, recommendation systems, and scalable ML platforms — feel free to reach out.

Location

Amherst

AI stack

cursor

hugging face

langchain

mcp

huggingface

vLLM

Work experience

Graduate Research Extern at Oracle, Feb 2026 - May 2026 · 4 mos, Amherst, MA, Evolution Strategies for Latent Reasoning in LLMs

Senior Data Scientist at Walmart Global Tech, Jun 2022 - Jan 2026 · 3 yrs 8 mos, Bengaluru, AdTech & Care/Contact-Center initiatives for Intl markets — AdTech Platformization: Engineered CTR re-ranking and dynamic bidding for multi-tenant adoption. — CPO Insights Platform: Deployed GenAI topic modeling and anomaly detection across CA, MX, and Chile, projecting $1.8M savings and $18M GMV impact. Employed Propensity Score Matching to validate the impact of interventions. — Topic Discovery (on-demand) platform: Built a hierarchical GenAI framework for topic discovery. — STREAM Framework: Developed Active Learning package, cutting labeling costs via LLM validation and hybrid sampling. — Trend-to-Product: Engineered a GenAI pipeline using LangChain Expression Language and Milvus DB to automate fashion design workflows.

Data Scientist at airtel, Jun 2020 - May 2022 · 2 yrs, Bengaluru, — Online Broadband Feasibility: Engineered end-to-end models and real-time API to predict network availability for highly unstructured Indian addresses. — Personalization: Optimized the Airtel Thanks App experience by deploying ranking models for Section Affinity, Journey Affinity, and Discover feed content.

ML Engineer II at Hopscotch, Feb 2020 - May 2020 · 4 mos, Bengaluru, — Improved product ranking and long-tail discovery for e-commerce search.

Data Scientist at ZEE5, Jun 2019 - Jan 2020 · 8 mos, Mumbai, Maharashtra, India, Ads & Revenue initiatives — Targeting Models: Built segmentation, age, and gender classifiers for ad inventory planning. — Inventory Forecasting: Developed city-level forecasting for ad reach and impressions.

Education

Master of Science, Computer Science, University of Massachusetts Amherst

Post Graduate Diploma, Statistical Methods and Analytics, Indian Statistical Institute, Kolkata