Prateek Sachdeva Email & Phone Number

San Francisco, Ca, Us

South San Francisco, California, Us

At Invisible AI our goal is to create a digital tool to error-proof manufacturing processes. Invisible AI's computer vision platform monitors body posture and ergonomics to give operators real-time feedback. We help ensure processes are done correctly and safely, every time.You can learn more at https://invisible.ai

- Harbinger (Electric Vehicles)- CHAOS (Defense Tech)- Arbor Energy (CO2 Removal)- Galvanick (Cybersecurity)- Morpheus Space (Electric Propulsion)- Justpoint (Healthcare Law Tech)

At Luminar, I am leading a team of engineers to tackle data infrastructure problems in the self-driving space, including processing petabytes of data and managing a data labeling pipeline.- Led the robotics, machine learning and data teams to build a large-scale self-driving dataset in six months- Authored and executed product roadmaps that scaled Luminar’s data pipeline to handle a fleet of cars- Designed five patent pending 3D tools, which increased labeling throughput by 50%- Productized internal simulation and data tools in collaboration with Luminar’s business team- Oversaw a million dollar budget and owned financial models for the labeling pipeline

- Deployed an end-to-end infrastructure to collect, process and label over 300k frames a month- Designed the server architecture for multiple pipelines that processed petabytes of sensor data- Developed a LiDAR visualization software, which was displayed in a full-page spread by Wired Magazine

Ann Arbor, Michigan, Us

I worked as a graduate student in the CS department with a focus on web and backend systems. My work at Michigan included the following accomplishments:- Taught multiple discussions to over 100 students over two semesters- Authored a new course project on concurrent MapReduce systems (and it's still being used)- Deployed an autograder system used 1000 times/day by over 400 students- Held exam reviews and extensive office hours due to my passion for teaching and mentoring- Loved every second of it

At ScheduleMe, I designed and deployed a web-app to help college students automate their course registration process and this platform served over 10,000 students.- Designed and developed a course registration tool that reduced time spent from 45 to 10 minutes- Acquired more than 3,000 users in four weeks through organic growth- Collaborated with the university to build a live sync with the registrar's database of over 50k courses

At Seat Side, I designed the UI/UX and built a Point of Sale system for sports venues across Ohio and Michigan. We deployed the product at multiple venues and the company is now in talks for an exit.- Developed an iPad based POS system using hybrid app development for faster deployment cycles- Developed secure backend architecture to handle multiple payment gateways used by both end users and stadiums- Integrated with multiple hardware sensors, including credit card readers and Bluetooth printers

Boldr was an analytics tool for retail businesses to associate online clicks to in-store foot traffic. I contributed to all aspects of the product deployment, and built the MVP myself.- Worked on everything from cold calls for business sales and customer acquisition in the streets of Ann Arbor- Acquired 1,500 users and 40 businesses in six months while maintaining a 55% monthly retention rate- Developed consumer and business facing mobile apps using hybrid web frameworks- Raised $30,000 in scholarships and local investments (returned $20k after dissolving early)- Talk to me if you want to learn more about my experience with Boldr

Ann Arbor, Mi, Us

Now branded as BestFoodFeed, myFab5 was originally a Yelp alternative focused on quick decision making.- Led all web development using EmberJS, a modern single page framework- Redesigned the UI and UX to allow for quicker access to relevant information the user wants- Optimized the production code for low latency using CDNs and AWS magic- My first job at Michigan and my pivoting point to focusing on products and users, instead of just coding- Check out www.bestfoodfeed.com to learn more!

Ann Arbor, Michigan, Us

I worked at the APRIL Lab (led by Professor Edwin Olson) and built a response system for autonomous cars that can detect and recognize traffic signs accurately and efficiently. My primary project was to use Java and advanced computer vision methods to develop the shape detection portion of the project. Since it was my first interaction with such high level concepts, I built a naive system but in combination with my peers' work, we were able to use color, shape and road lane detectors to recognize traffic signs in a simulated environment.

Master'S Degree, Computer Science

Bachelor Of Engineering (B.Eng.), Computer Science