Vaibhav Agrawal

Co-Founder

San Francisco, California, United States6 yrs 3 mos experience

Key Highlights

Co-Founder and CTO at BaseFrame
Expert in Machine Learning and Data Science
Experience with AI automation and teaching

Stackforce AI infers this person is a SaaS and AI-focused professional with strong technical expertise.

Contact

Skills

Core Skills

Machine LearningData SciencePython (programming Language)Go (programming Language)TeachingComputer VisionAwsNatural Language Processing (nlp)

Other Skills

Rust (Programming Language)NumPyScikit-LearnConvolutional Neural Networks (CNN)AlgorithmsAWS LambdaAmazon Web Services (AWS)KotlinAlexa Skills Kit (ASK)Data StructuresNode.jsMongoDBHerokuPandas (Software)JavaScript

Experience

6 yrs 3 mos

Total Experience

1 yr

Average Tenure

5 mos

Current Experience

Baseframe (yc w26)

Co-Founder / CTO

Dec 2025 – Present · 5 mos · San Francisco Bay Area · On-site

Most teams want to plug in AI but don't know where to get started. BaseFrame finds exactly what to automate for each employee using the historic data on their computer

Go (Programming Language)Rust (Programming Language)Machine LearningData ScienceComputer Vision

Augment code

Member of Technical Staff

Feb 2025 – Dec 2025 · 10 mos · San · On-site

Next-edit, Remote Agents

Python (Programming Language)Machine LearningRust (Programming Language)Go (Programming Language)

Sutter hill ventures

Codepoint Fellow

Aug 2024 – Jul 2025 · 11 mos · San Francisco Bay Area · On-site

1 year rotation program (Sigma Computing and Augment Code)

Sigma computing

Software Engineer

Aug 2024 – Jan 2025 · 5 mos · San Francisco Bay Area · On-site

Query lifecycle

Go (Programming Language)Rust (Programming Language)

Refuel

Machine Learning Intern

Jan 2024 – May 2024 · 4 mos · San Francisco Bay Area · Hybrid

Amazon

Return SDE Intern

Jun 2023 – Aug 2023 · 2 mos · Manhattan, New York, United States · On-site

AlgorithmsAWS LambdaAmazon Web Services (AWS)KotlinNumPyScikit-Learn+2

University of california, berkeley

Undergraduate Teaching Assistant

Jan 2023 – May 2024 · 1 yr 4 mos · Berkeley, California, United States · On-site

TA for CS170 (Efficient Algorithms and Intractable Problems)

TeachingNumPyScikit-Learn

Amazon

SDE Intern

May 2022 – Aug 2022 · 3 mos · Seattle, Washington, United States

Worked in Alexa Health to improve a skill using Machine Learning and Alexa Conversations.
Used Natural Language Processing to paraphrase examples to generate synthetic data to extrapolate for natural conversation flows.
Used semantic understanding to improve Alexa skills.
Analyzed and presented the pros and cons of Alexa Conversations for health symptom checking.

Alexa Skills Kit (ASK)NumPyScikit-LearnNatural Language Processing (NLP)

Data science society at berkeley

3 roles

Senior Advisor

Jan 2022 – Aug 2022 · 7 mos · Berkeley, California, United States

Academic Development Mentor

Jan 2021 – Dec 2021 · 11 mos · Berkeley, California, United States

Member

Aug 2020 – Jan 2021 · 5 mos · Berkeley, California, United States

Deepsea technologies

AI Research Intern

May 2021 – Jul 2021 · 2 mos · Athens, Attiki, Greece

Trained ML models using Tensorflow to generalize better in case of less data.
Created evaluation metrics for ML models.
Tuning mathematical models to ascertain similarity between curves.
Explored use of Procrustes distance, Frechet distance, and Hausdorff distance specific to the needs of the products.

Berkeley rise lab

Undergraduate Student Researcher

Feb 2021 – May 2024 · 3 yrs 3 mos · Berkeley, California, United States

Analyzing Benefits of Hinge Loss Training for Deep Neural Networks.
Used PyTorch for training the neural networks.
Worked on Computer Vision using and NLP with custom loss functions.
Building @ Skypilot

NumPyConvolutional Neural Networks (CNN)Scikit-LearnComputer Vision

Comfest jcc

CEO & Chief Technical Head

Oct 2019 – Jul 2020 · 9 mos · India

Comfest is India's largest student organised techno-cultural event.
As the CEO I led a team of over 200 students and helped raised over $40000 in sponsorships. I also looked into the overall management of the event.
As the Chief Technical Head I headed all the Math and the Coding competitions and organised the state's first 24 hour Hackathon.

NumPyScikit-LearnMachine Learning