Dhiraj Madan

AI Researcher

South Delhi, Delhi, India9 yrs 9 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Published in top venues like NeurIPS and EMNLP
  • Expertise in quantum computing and machine learning
  • Top graduate from IIT Delhi in Computer Science
Stackforce AI infers this person is a Research Scientist specializing in Machine Learning and Quantum Computing.

Contact

Skills

Core Skills

Quantum ComputingNatural Language Processing

Other Skills

AlgorithmsAutomated Query MatchingCC++CryptographyData StructuresDeep LearningDeep Reinforcement LearningDigital Image ProcessingError Correction DecodingGenerative AIHeuristics DevelopmentJavaLinear AlgebraMATLAB

About

I am a research scientist at IBM Research India where I have been working on research problems in Machine Learning, Deep Learning and NLP. I have worked on probablistically modeling of deep generative networks for NLP using techniques such as variational modeling, reinforcement learning and optimization. The problems come from multiple domains including knowledge graphs, conversation/dialog and question answering. This has led to publications in top venues including NeurIPS, EMNLP, IJCAI , ECAI and IJCNLP. Recently I have been involved in research problems in quantum computing and quantum ML. I also have a youtube channel where I have created video lectures on topics including generative AI and quantum entanglement (https://www.youtube.com/channel/UCW35HFHo7VwibQ-KaalrNlw). Prior to joining IBM I graduated from IIT Delhi in BTech and MTech in CSE where I stood first amongst all the graduating students in the batch of CSE (dual degree).

Experience

9 yrs 9 mos
Total Experience
3 yrs 3 mos
Average Tenure
3 yrs 2 mos
Current Experience

Ibm research

Advisory Research Scientist

Mar 2023Present · 3 yrs 2 mos · Delhi, India · Hybrid

Ibm research india

Advisory Research Engineer

May 2021Feb 2023 · 1 yr 9 mos · New Delhi, Delhi, India

  • Working on research problems in quantum computing including error correction decoding, quantum circuit optimization, and quantum machine learning
Quantum ComputingError Correction DecodingQuantum Circuit OptimizationQuantum Machine Learning

Ibm research lab

2 roles

Staff Research Engineer

Jun 2016Apr 2021 · 4 yrs 10 mos · New Delhi

  • Working on research problems in Natural Language Processing.
  • Work involves designing and implementing machine learning/ deep learning based algorithms for NLP. Also working to figure out research problems for Quantum Computing
Natural Language ProcessingMachine LearningDeep Learning

Intern

May 2014Jul 2014 · 2 mos · New Delhi

  • Worked on automated query matching from a set of FAQs.
  • Developed heuristics for comparison of parse trees in natural language
Automated Query MatchingHeuristics Development

Education

Indian Institute of Technology, Delhi

BTech and MTech — Computer Science and Engineering

Jan 2011Jan 2016

Bluebells School International

10+2 — Science

Jan 2000Jan 2011

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