Anirban Das

About Anirban Das

I am an Applied Researcher at Capital One, focusing on NLP, Generative AI, and LLMs. My research centers on distributed machine learning (training and inference time optimizations), pre-training foundational models (LLMs), post training (specifically on reasoning algorithms recently) and building a whole bunch of multi-agentic platform/applications for various types of task oriented dialogue systems.

Experience

1. Applied Researcher Ii (Senior Manager), Ai Foundations

   Capital One

   Jul 2025 — Present · San Francisco, CA, US

   Working on building Foundation Models at Capital One as Applied Scientist IC (designation is Sr. Manager). Working on pretraining, and post training (specifically alignment, reasoning and planning abilities), and training/inference optimization in the Applied Research team in LLM Foundations. Leading cross-functional efforts in the design and deployment of large-scale multi-agentic AI architectures at Capital One, integrating cutting-edge research planning, reasoning, evaluation and function calling agents in production systems.[Fun: watch Jensen Huang\'s shoutout to our project in GTC 2025 https://youtu.be/_waPvOwL9Z8?t=6895]

Education

• Rensselaer Polytechnic Institute

  Doctor of Philosophy (PhD), Computer Science

• Rensselaer Polytechnic Institute

  Master of Science - MS, Computer Science

• West Bengal University of Technology, Kolkata

  Bachelor of Technology (B.Tech.), Electrical, Electronics and Communications Engineering

  2010 — 2014

Skills

• Python
• Problem Analysis
• Scala
• Machine Learning
• Microsoft Office
• Powerpoint
• Microsoft Excel
• C++
• Mysql
• Customer Service
• Microsoft Word
• Semantic Web
• Distributed Computing
• Matlab
• Data Mining
• Requirements Analysis
• C
• Programming
• Aws Greengrass
• Problem Solving
• Java
• Sql
• Pega Prpc
• Azure Iot Edge
• Html