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My professional experience.
Contact Information
| Name | Ajay Mittur |
| Professional Title | Senior Applied Research Engineer @ NVIDIA | LLM Post-training & Coding Agents | prev CMU, Amazon |
| Phone | |
| Location | United States, San Francisco, CA |
| Website |
Professional Summary
Experience
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2026 - Present Santa Clara, CA
Senior Applied Research Engineer
NVIDIA
Leading research on recursive self-improvement of coding agents for chip design, and LLM post-training for complex root-cause analysis and design verification.
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2025 - 2026 Santa Clara, CA
Applied Research Engineer
NVIDIA
Built an internal agent development kit (subagents, parallel orchestration, context compaction, workflows) and a coding agent on top of it to help hardware engineers with RTL code generation, design-verification debugging, and analysis.
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2025 - 2025 Pittsburgh, PA
Graduate Teaching Assistant
Machine Learning Department at CMU
10-423/623 - Generative AI, Prof. Matt Gormley, and Pat Virtue https://www.cs.cmu.edu/~mgormley/courses/10423/
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2025 - 2025 Pittsburgh, PA
Research Assistant
Language Technologies Institute, Carnegie Mellon University
Researched LLM agents for novel scientific idea generation, experiment planning, code generation, and paper writing under Prof. Graham Neubig.
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2024 - 2025 Pittsburgh, PA
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2024 - 2025 Pittsburgh, PA
Graduate Research Assistant
School of Computer Science, Carnegie Mellon University
Working on improving inductive reasoning, abstraction, and neurosymbolic programming with LLMs to solve ARC AGI under Prof. Carolyn P Rosé.
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2024 - 2024 San Jose, CA
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2024 - 2024 Pittsburgh, PA
Graduate Teaching Assistant
Machine Learning Department at CMU
10-718 - ML in Practice, Prof. Virginia Smith https://www.cs.cmu.edu/~smithv/10718/
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2022 - 2023 Bengaluru, India
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2022 - 2022 Bengaluru, India
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2021 - 2021 Bengaluru, India
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2020 - 2020 Bengaluru, India
Machine Learning Research Intern
Samsung Research Institute Bangalore, India
IOT and On-Device Machine Learning
Education
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2023 - 2025 Master of Science - MS
Carnegie Mellon University
Artificial Intelligence and Innovation
- Generative AI
- Advanced NLP
- Multimodal Machine Learning
- ML Systems
- ML in Production
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2018 - 2022 Bachelor of Engineering - BE
B. M. S. College of Engineering
Computer Science
- Data Structures
- Algorithms
- Operating Systems
- Computer Networks
Publications
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2023 Deep Reinforcement Learning for Autonomous Driving in Uncontrolled Intersections of Indian Roads
Multimedia Tools and Applications, Springer
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2022
Skills
LLM Post-training ():
LLM Agents ():
Agent Harnesses ():
Megatron-LM ():
NeMo RL ():
NeMo Gym ():
vLLM ():
XGBoost ():
Google Cloud Platform (GCP) ():
Multimodal Machine Learning ():
Retrieval-Augmented Generation (RAG) ():
Hugging Face ():
Scala ():
C++ ():
Generative Neural Networks ():
Machine Learning Algorithms ():
Distributed Systems ():
MLOps ():
PyTorch ():
Databases ():
Reinforcement Learning ():
Natural Language Processing (NLP) ():
Software Design ():
Recommender Systems ():
Big Data ():
Computer Networking ():
TensorFlow ():
Applied Machine Learning ():
Large Language Models (LLM) ():
Computer Science ():
Amazon Web Services (AWS) ():
Computer Vision ():
Python (Programming Language) ():
Machine Learning ():
SQL ():
JavaScript ():
Long Short-term Memory (LSTM) ():
Java ():