
Vashisht Madhavan
Build AI that ships — from a founder who trains the models
Studied at University of California, Berkeley
Works at Amazon
Questions? Start chatting with this coach before you get started.
Vashisht's Offerings
Custom hourly · $80/hr
Get help with AI Agents, AI Automation, and .
Vashisht’s Build with AI Qualifications
Experience level: Director
10+ people coached for Build with AI
I build AI models for a living, and I've done it at most stages of the industry: a research lab, my own startup, and now big tech. Right now, I'm an AI researcher at Amazon working on LLMs for coding. Before this, I was on the team building Pika's generative video models, where I owned much of the training data and infrastructure. I've even co-founded an AI voice-agent startup, Humanlike (YC S23), and built it as CTO from an empty repo to paying enterprise customers. Going further back, I led document-AI work at Snorkel AI and did reinforcement-learning research at Uber's AI lab, where most of my published papers (NeurIPS, ICLR, CVPR) come from. I also hold a Master's degree from Berkeley. The reason I coach is that I can be specific. I've trained the models and shipped the products myself, so I'd rather tell you what actually worked than give you advice you could've Googled. If you want to break into AI or get something of your own off the ground, that's what I'm good at helping with.
Vashisht can help with:
AI Agents
AI Automation
AI Fundamentals
AI Research
AI Tools & Integration
Prompt Engineering
Work Experience

Senior Applied Scientist
Amazon
January 2025 - Present
At Amazon, I'm an AI researcher working on LLMs for coding. I've been responsible for helping post-train our latest model release, Nova 2 Pro. My focus is on improving how these models reason and write code through reinforcement learning.
AI Researcher
Pika
January 2024 - January 2025
At Pika, I was a researcher working on the company's generative AI models for video. I led data curation for large-scale pretraining and owned much of the post-training stack. That work powered a range of user-facing fine-tunes like Pikaffects, and I also fine-tuned multimodal LLMs for video captioning, categorization, and retrieval.
Co-Founder & CTO
Humanlike
May 2023 - December 2023
At Humanlike (YC S23), which I co-founded and ran as CTO, I built low-latency, realistic AI voice agents that automate business phone calls using LLMs and generative speech models. I led engineering and product end to end, from the first prototype to landing enterprise customers. We went through the YCominbator S23 batch.

Staff Machine Learning Engineer
Snorkel AI
July 2021 - May 2023
At Snorkel AI, I was a staff ML engineer and tech lead for the structured-documents product, which let enterprises extract, label, and classify data from PDFs and other documents. I brought foundation-model workflows into the platform — embedding search, prompt-based labeling, and LLM fine-tuning with document-specific models like LayoutLM — alongside integrations with Snowflake, Azure, and Databricks.

AI Researcher
Uber
May 2017 - November 2019
At Uber, I was a research scientist in Uber AI Labs, the company's artificial-intelligence research group. I worked on reinforcement learning and computer vision, specifically for self-driving cars and to optimize Uber Freight surge pricing. Was also involved in building an AI customer service agent that saved the company tens of millions of dollars annually.
Education

University of California, Berkeley
Master of Science (M.S.), Electrical Engineering and Computer Science
2016 - 2017
AI and Machine Learning. Focus on computer vision and reinforcement learning

University of California, Berkeley
Bachelor of Science (B.S.), Electrical Engineering and Computer Science
2012 - 2016