Tejas Bhakta

Co-Founder

San Francisco, California, United States9 yrs 4 mos experience
AI EnabledHighly Stable

Key Highlights

  • Founder of innovative AI startup Morph.
  • Expert in AI and Machine Learning with Tesla experience.
  • Strong bias for action in startup environments.
Stackforce AI infers this person is a highly skilled AI and Machine Learning expert with startup leadership experience.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Machine LearningComputer VisionEmbedded Systems

Other Skills

Token SlingingGPU MeltingPython (Programming Language)Circuit Analysis3D PrintingTroubleshootingComputer Repair3D ModelingProject ManagementElectrical EngineeringPerformance TestingComputer Hardware TroubleshootingImage ProcessingMongoDBArduino

About

My background is in Deep Learning, and building useful things. I've worked on almost the full stack of AI at Tesla, from ai accelerator firmware and chip bring up, to training optimization and infra, to actual model development and inference engine optimization I have a strong bias for action, and love working in a startup-like scrappy environment. I care deeply about humanity and enjoy working on things that will make the future better. Born and raised in a motel where I lived till I was 18 and built the tech stack for when i was a kid US born citizen. Not open to contract work.

Experience

9 yrs 4 mos
Total Experience
2 yrs 1 mo
Average Tenure
1 yr 2 mos
Current Experience

Morph

Founder & CEO

Mar 2025Present · 1 yr 2 mos · San Francisco, CA

  • Fast Models that improve coding agents (10,500+ tok/sec)
  • Better, faster, cheaper codegen.
  • yc s23
Token SlingingArtificial Intelligence (AI)Machine Learning

Airpinpoint

Founder

Mar 2024Jun 2025 · 1 yr 3 mos

  • the best asset tracking system in the world

Tesla

3 roles

Machine Learning Engineer

Promoted

Nov 2020Jun 2023 · 2 yrs 7 mos

  • Implementing latest aerial imaging Computer Vision research into production

Autopilot ML Infrastructure Software Engineer

Feb 2020Jun 2020 · 4 mos · San Francisco Bay Area

  • Worked with Computer Vision/ML Infra teams to solve training and inference bottlenecks on V100/A100
  • training optimization, compute management/sharing, performance analysis, and dataloading. H100 bringup

Autopilot ML Firmware

Sep 2019Jan 2020 · 4 mos · San Francisco Bay Area

  • Worked on new Tesla Autopilot SoC firmware codebase for HW4/DOJO
  • Implemented 64 bit ECC algorithm checks on non-volatile memory
  • Programming for ARM chip bring-up, such as sector erase, CRC calculations, code size optimizations, flash mem integrations, UART
  • Wrote CI scripts in Python to automate testing new software on hardware through JTAG
  • Integrated new flash memory device
  • Leveraged knowledge in C, debugging, hardware, Linux, and Python

Bae systems

Electrical Engineering Intern

Jun 2018Sep 2018 · 3 mos · San Francisco Bay Area

  • embedded systems, Linux, system design, Python

Qualcomm

IT Technician

Feb 2017Nov 2017 · 9 mos · San Diego, California

Budget inn anaheim

Hotel Tech - Child Labor

Jan 2013Mar 2016 · 3 yrs 2 mos · Orange County, California Area

  • lived in and grew up at the Budget Inn from 1997-2015
  • Self taught UX/UI, backend, and on site installations done by myself (anaheimbudgetinn.com) Website generated $48,000 in revenue annually
  • Self-taught, no programming or web development knowledge prior to starting (16 years old)
  • Planned and physically set up network wifi (captive portal, access points, QOS, etc...)

Education

Y Combinator

Jan 2023Jan 2023

UC San Diego

Bachelor of Science - BS — Electrical and Computer Engineering (Machine Learning Specialization)

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