# Anish Kachinthaya

> AI @ Pylon | Berkeley MET | Prev @ Glean, NVIDIA, Palantir | KP Fellow, Neo Scholar

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/anishkachinthaya

## Work Experience
### Software Engineer @ Pylon
Jan 2025 – Present
Architecture, evaluation, and infrastructure for AI Agents and AI Assistants
1st new grad, 13th engineer

### KP Fellow @ Kleiner Perkins
Jan 2024 – Jan 2025
Engineering fellow

### Graduate Researcher @ Berkeley Artificial Intelligence Research
Jan 2022 – Jan 2025
Multimodal LLM interpretability and robustness

### Neo Scholar @ Neo
Jan 2022 – Jan 2025

### Software Engineer Intern @ Glean
Jan 2024 – Jan 2024
Search index scaling and security

### Software Engineer Intern, Distributed Systems @ NVIDIA
Jan 2024 – Jan 2024
Data governance for Swift, a distributed object storage system used by NVIDIA GPU Cloud and MagLev AV platform

### VP of Projects @ Machine Learning at Berkeley
Jan 2022 – Jan 2024
Sourced and managed industry clients in computer vision, ML systems, NLP, and GenAI

### ML Engineering Consultant @ Clarifai
Jan 2023 – Jan 2023
Productionized LLaVA with NVIDIA TensorRT for the Clarifai Developer AI Platform

### Software Engineer Intern @ Palantir Technologies
Jan 2023 – Jan 2023
Palantir FedStart: SaaS cloud offering enabling CI/CD and software deployment, scaling, and management in a secure, FedRAMP compliant cloud environment

### Course Tutor @ UC Berkeley Electrical Engineering & Computer Sciences (EECS)
Jan 2022 – Jan 2022
Taught C and assembly language programming, translation of high-level programs into machine language, computer organization, caches, performance measurement, parallelism, CPU design, and related topics

### Director @ Cal Hacks
Jan 2021 – Jan 2022
Organized logistics, technology, and judging at Cal Hacks 8.0, the world’s largest collegiate hackathon, bringing together 1500+ hackers and inviting 50+ judges for 36 hours of hacking

### Software Engineer Intern, Autonomous Driving @ Lucid Motors
Jan 2022 – Jan 2022
Designed novel 3D-2D Association Siamese Network for 2D object auto-labelling and developed the training data generation and evaluation framework for Lucid Air’s Advanced Driver Assistance System (ADAS-AD)

### Software Intern, High Energy-Density Physics Student Program @ Lawrence Livermore National Laboratory
Jan 2021 – Jan 2021
Developed a database version control system (PyGit, Pandas) for the lab’s data pipeline which processes nuclear test yields from over 5000 nuclear test films

### Computer Vision Research Intern @ UC Santa Barbara
Jan 2019 – Jan 2020
Created thresholding algorithm for masking pixels within depth images using Mask R-CNN, OpenCV, NumPy, Pandas, and an Intel RealSense Depth Camera


## Education
### Master of Science - MS in EECS
UC Berkeley Electrical Engineering & Computer Sciences (EECS)

### Bachelor of Science - BS in Electrical Engineering and Computer Science, Business Administration
UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program

### Summer Enrollment in Research Techniques
UC Santa Barbara

### Concurrent Enrollment
Las Positas College

### Advanced Scholar Diploma
Dublin High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/anish-kachinthaya

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Source: https://flows.cv/anishkachinthaya
JSON Resume: https://flows.cv/anishkachinthaya/resume.json
Last updated: 2026-04-05