Aditya Kalyanpur

About Aditya Kalyanpur

AI Research scientist and engineer with over 20 years of experience in natural language processing, machine learning / deep learning, and symbolic reasoning, with a proven track record of translating AI research into products. I enjoy leading AI teams to solve challenging business problems and doing technical hands-on work as well.Currently, I am a Principal Applied Scientist at AWS AI, and part of the team that is building the Amazon Quick Suite: I was a founding member of the enterprise AI startup Elemental Cognition where I led AI research and development. The main research and application areas included Symbolic-RAG (hybrid retrieval-reader approach that combines embeddings with extracted knowledge structures), LLM-based code-generation to write declarative code / logic programs from NL specifications, and LLM-tool integration, where the tools include specialized reasoning engines/solvers for formal reasoning, planning and constraint solving. Prior to that, I was a core-member of the research tech team that built the IBM Watson QA system that won the Jeopardy! challenge. After Watson\'s landmark win, I helped commercialize the DeepQA technology in the medical and insurance domains, before joining the hedge-fund Bridgewater Associates to work on fundamental neuro-symbolic NLP research, combining lessons learned from working in statistical NLP (Watson) with formal logic and automated reasoning (Phd area). Bridgewater spun-off our research team into the startup Elemental Cognition.

Experience

1. Principal Applied Scientist (Ai)

   Amazon Web Services (AWS)

   Dec 2024 — Present · New York, NY, US

   Working on the Amazon Quite Suite:

Education

• University of Maryland

  MS and Ph.D., Computer Science (AI)

  2001 — 2006

• University of Mumbai

  BE, Electronics Engineering

  1997 — 2001

Skills

• Big Data
• Java
• Information Extraction
• Matlab
• Software Development
• Data Mining
• Python
• Algorithm Design
• Latex
• C++
• Owl
• Artificial Intelligence
• Text Mining
• Scalability
• Software Engineering
• Machine Learning
• Open Source
• C
• Programming
• Optimization
• Computer Architecture
• Human Computer Interaction
• Semantic Technologies
• Distributed Systems
• Knowledge Representation
• Algorithms
• Eclipse
• Information Retrieval
• Semantic Web
• Pattern Recognition
• Mapreduce
• Hadoop
• High Performance Computing
• Semantic Search
• Natural Language Processing
• Analysis
• Predictive Analytics
• Software Design
• Computer Science
• Text Analytics