
Vashisht Madhavan
Build AI that ships | Amazon AI Scientist & YC Founder
Studied at University of California, Berkeley
Works at Amazon
Available today
Starting at 5:00 PM UTC
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Vashisht's Offerings
Custom hourly · $100/hr
Get help with AI Agents, AI Automation, and .
Vashisht also coaches for Break Into AI Careers and Career Coaching. View all.
Vashisht’s Build with AI Qualifications
Experience level: Director
10+ people coached for Build with AI
I help people and teams build with AI — from first prototype to production. I've spent a decade building AI at companies like Amazon, Uber, and a Y Combinator startup I co-founded as CTO. My edge: I don't just use AI tools, I train the models underneath them — LLMs, text-to-video, voice — so I can teach you how these systems actually work, not just which buttons to press. Some things I've built: AI voice agents that automated thousands of business phone calls per month (taken from an empty repo to paying enterprise customers), the post-training behind user-facing video-generation features like Pikaffects, and today, the reinforcement learning behind code-generation models — the kind that power tools like Claude Code, Cursor, and Copilot. Here's what we can do together: build LLM apps, chatbots, AI agents, and RAG pipelines; set up AI automations and workflow automation that remove manual work; master prompt engineering and get real leverage from ChatGPT, Claude, and agent coding tools like Claude Code and Cursor; go deeper with fine-tuning and open-source models (Hugging Face) when off-the-shelf isn't enough; and pressure-test your stack and architecture before mistakes get expensive. And because I teach from the model up, what you learn stays useful as the tools and models keep changing. Whether you're a founder building an AI startup, an engineer adding AI to your product, or a non-technical builder starting from no-code tools — tell me what you want to build, and let's ship it.
Vashisht can help with:
AI Agents
AI Automation
AI Fundamentals
AI Research
AI Tools & Integration
Prompt Engineering
Vashisht also coaches for Break Into AI Careers and Career Coaching. View all.
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
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