Sammy Sidhu
CEO,
Eventual
sammy [at] eventualcomputing.com
Industry
Co-Founder, CEO
Eventual
- Founded a company to build the Data Warehouse for Complex Data (Images, Video, Lidar, etc.).
- We are building an integrated development experience for data scientists and engineers to query, process and build applications on Complex Data.
- We were part of the Winter 22 batch of Y-Combinator.
- We are funded by investors such as Caffeinated Capital, Array.vc and top angels in the valley from Databricks, Meta and Lyft.
- We’re also currently hiring!
Senior Staff Engineer
Woven Planet (Toyota)
- Lyft Level 5 was acquired by Woven Planet, a holding company of Toyota. I continued much of my prior work here.
- Led a research team where we worked on experimental sensor fusion techniques to enable better vision only self driving cars.
- Published some of our novel work to NeurIPS’s autonomous driving workshop.
- Left to start my own company!
Senior Staff Engineer
Lyft Level 5 (Acquired by Toyota)
- Perception Lead in building Self-Driving Cars for Lyft’s Autonomous Vehicle Division (Level 5), mostly dealing with LiDAR and Vision.
- Designed and deployed a Machine Learning Platform to handle the needs of over 100 Machine Learning Engineers.
- Optimized training and data pipelines for production training workloads saving Lyft over $10M a year in compute and data storage costs.
- Built a graph complier to map our self driving stack to an embedded system of heterogenous hardware using a SMT solver.
Chief Architect
DeepScale (Acquired by Tesla)
- Joined as part of the founding team which was spun out of the research lab I was part of at UC Berkeley.
- Head of Engineering and Research from when company was 4 people to 30 and was acquired by Tesla Autopilot.
- Worked on everything needed for developing Autopilot like software, such as designing cutting edge computer vision models, building massive data pipelines and deep learning compliers.
- During my time here, I put out over a dozen patents, research papers and industry talks in the field of efficient computer vision.
Academia
Graduate Student Researcher
University of California, Berkeley
Graduate Student Instructor / Teaching Assistant
University of California, Berkeley
- CS186 / CS286: Project TA for an class on databases and distributed systems. Wrote a multi-thousand line Database project suited for education in Java. Project is still being used 5 years later to teach database design fundamentals for over 1000 students per semester. Topics taught include: B+ tree indices creation/maintenance, query optimization, transaction concurrency and locking and recovery.
- CS61A: TA for the introduction to computer science course. I wrote a lab that would teach some fundamentals of functional programming in a fun way, which was computing sentiments for restaurants using Apache Spark and the Yelp dataset. Collaborating with Databricks, we were able to create a lab that ~2000 students / semester used to learn core concepts like map and reduce in a fun yet practical manner.
- CS61B: Joined for the founding semester of Computer Science Mentors (CSM) and mentored/tutored small groups of students for the data structures and algorithms course. During this semester, I wrote much of the material and handouts that were used to teach across all groups.
- EE40: Worked as a lab assistant for 2 semesters for the introduction to microelectronics course where it was often the first exposure many students had to hands on hardware. During labs, I taught the fundamentals of Analog HW such as filter, op-amps, etc and lab equipment such as signal generators, oscilloscopes, etc.
B.S. Electrical Engineering and Computer Sciences (EECS)
University of California, Berkeley
Focused in Machine Learning and Distributed Systems. Spent the majority of the 3rd and 4th year either teaching or in the research lab.