Vibhav Altekar

Experience

Computer Vision Engineer 2018 - Present (almost 6 years)

- Applying machine learning to embedded vision problems.
- Prototyping new algorithms for vision for depth sensor technology, SLAM, and varied camera systems.
- Building... more

8VC

Investing & Engineering 2018 (7 months)

- Building products from scratch with team of designers.
- Aiding diligence for infra/saas/ml companies
- Product/Engineering lead incubating project within the VC... more

Synthego

Data Engineering Intern 2018 (2 months)

- Built first ETL pipeline and data warehouse solution for CV analysis of cells to predict/monitor growth (AWS
Lambda/Kinesis/Redshift)
- Worked on image analysis of... more

Kleiner Perkins

Engineering Fellow 2017 - 2018 (about 1 year)

- Worked cross functionally with Engineering (HW/SW/MECH) teams to determine changes to improve UX and sharpen product market fit.
- Fellow at KPCB (portfolio includes... more

Twitter

Machine Learning Intern 2017 (7 months)

- Trained machine learning learning models for object/person recognition and image/video classification.
- Worked with deep learning framework PyTorch for model building/training/testing
-... more

Intel

Embedded Signal Processing Intern 2016 (2 months)

- Worked on Embedded machine learning algorithms for signal processing
- Hardware validation/testing
- Designed Signal Processing and Machine Learning algorithms in... more

Employee

Intel, Twitter, Kleiner Perkins, UC Davis Department of Chemical Engineering and Materials Science, UCSF, Vexata, University of California, Davis, Juicero, Synthego, 8VC, Anduril Industries

Projects

RapAI

AI to generate fresh new rhyming lyrics for any artist.

Machine Learning Engineer/Back End Engineer, Python/Flask

With Minu Palaniappan

Education

About

Achievements

1. Recognized by Intel for work done as an intern. 2. Silicon Valley Science Fair, Grand Prize Winner --> Competed at International Science and Engineering Fair (Intel ISEF) and won 4th place in Engineering 3. Deep learning at Twitter 4. KPCB Fellowship

Describe the most impressive thing you've done.

Skills

C C++ Data Analysis Machine Learning Python Circuit Design Digital Signal Processing Embedded Systems Engineering Matlab Programming Hardware Engineering Research Deep Learning Computer Vision

Locations

San Francisco Palo Alto Sunnyvale Pleasanton San Diego Redwood City Mountain View Los Angeles Santa Clara San Mateo Berkeley Boston Oakland