R

Romir P.

AI Researcher

United States4 yrs 4 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Raised $500k for a nonprofit initiative.
  • Built neural networks outperforming industry standards.
  • Recognized by Andrej Karpathy for project contributions.
Stackforce AI infers this person is a Machine Learning Researcher with a focus on AI and LLMs.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence

Other Skills

Reinforcement LearningSynthetic Data GenerationTraining LLMsEvaluating LLMsStructured Feedback SignalsLLM Fine-tuningSupervised LearningFeedback-driven OptimizationTraining AI AgentsFine-tuning LMsBuilding Eval PipelinesEnvironment BuildingUser EngagementCAD/CAM SoftwareJava

About

Hi, I'm an AI Researcher/Engineer, specializing in Post-Training(agents, evals, finetuning, etc…) tldr; raised 500k(founded a nonprofit) -> ASU research -> Textarena team -> MIT chem research -> MIT eng research -> MIT CSAIL research -> Wedge(yc s25) MTS -> MIT EAPS research -> MIT Neuro research -> Caltech research if you cant already tell, i really like ai like i REALLY like it but for real: Hey! I’m Romir(I would hope this is already apparent). I’ve done a ton of work with Machine Learning(built neural networks from scratch, trained xB models, worked on a kinda big eval project, and anything in between). If it’s AI, I’ve done it. My work now lies in training, eval, and such. In case this is too short for you, here are a few fun facts: •The first neural network I built outperformed what was considered the be the standard(which was in NeurIPS) •The longest time I’ve spent fixing a bug was 6 hours. It related to dependencies…of course. •One of the projects I’m a part of was recognized by Andrej Karpathy, amongst others. I've also "coded" for 36 hours straight. Unhealthy? Yes. Fun? Very.

Experience

4 yrs 4 mos
Total Experience
1 yr 3 mos
Average Tenure
9 mos
Current Experience

Bespoke labs

ML Research Engineer | Post-Training

Mar 2026Present · 2 mos · Mountain View, CA

  • building end-to-end RL environments + synthetic data for AI for frontier AI labs
Machine LearningReinforcement LearningSynthetic Data GenerationArtificial Intelligence

Agenthub

ML Research Engineer | Post-Training

Jan 2026Mar 2026 · 2 mos · San Francisco, CA

  • training, evals, and RL-style for AI agents with synthetic data generationn
  • hire #1

Apx labs

building

Aug 2025Present · 9 mos · San Francisco, CA

  • everything could use a little more intelligence

Caltech

AI Research | Post-Training

Aug 2025Mar 2026 · 7 mos · Pasadena, CA

  • PI: Anima Anandkumar
  • fine-tuned LMs using supervised learning, built eval pipelines to improve reasoning
Training AI AgentsSynthetic Data GenerationMachine LearningArtificial Intelligence

Mit computer science and artificial intelligence laboratory (csail)

AI Research | Post-Training

Jul 2025Present · 10 mos · Cambridge, MA

  • training and evaluating LLMs with structured feedback signals to improve reasoning
  • neurips '25 workshop paper
Training LLMsEvaluating LLMsStructured Feedback SignalsMachine LearningArtificial Intelligence

Mcgovern institute for brain research at mit

ML Research | Post-Training

Jul 2025Present · 10 mos · Cambridge, MA

  • built and evaluated LLM fine-tuning pipelines, supervised and feedback-driven optimization for reasoning and reliability
LLM Fine-tuningSupervised LearningFeedback-driven OptimizationMachine LearningArtificial Intelligence

Textarena

ML Researcher

Jan 2025Dec 2025 · 11 mos · United States

  • 100k envs, 30k+ users
  • sponsored by Anthropic, AWS, Openrouter

Mit department of chemistry

3 roles

CRISPR Research

Dec 2024Jun 2025 · 6 mos

  • PI: Ronald Raines

Main Sim Research

Nov 2024Feb 2025 · 3 mos

  • so I guess it makes me the simulation lead?

Simulation Research

Oct 2024Nov 2024 · 1 mo

Mit chemical engineering (cheme)

2 roles

Applied ML Research

Dec 2024Jan 2026 · 1 yr 1 mo

  • PI: Richard D. Braatz
  • drank way too much hot cocoa
Fine-tuning LMsBuilding Eval PipelinesMachine LearningArtificial Intelligence

AI Research

Nov 2024Dec 2024 · 1 mo

Arizona state university

Software Integration Researcher

Aug 2024Sep 2025 · 1 yr 1 mo · Tempe, AZ

  • PI: Tejaswi Gowda
  • built something pretty awesome
Environment BuildingUser EngagementMachine Learning

Helping hands corporation

President

Jan 2022Present · 4 yrs 4 mos · United States

  • never hurts to give back :)
  • raised 500k

Education

Carnegie Mellon University

Bachelor of Science — Artificial Intelligence & Computer Science

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