M A N U C H O P R A

mchopra@stanford.edu | www.manuchopra.in | P.O Box 16979, Stanford, CA - 94309

E D U C A T I O N

E X P E R I E N C E

Stanford University (BS in Computer Science (to be conferred on 6/17) Coursework: Machine Learning (R, Matlab, Python), Convolutional Neural Networks (Python), Artificial Intelligence, iOS Programming (Swift), Web development (Javascript, HTML, CSS), Computer Organization & Systems (C, C++, Assembly), Programming Abstractions & Methodology (C++, Java), Human Computer Interaction, Haptics, Mechatronics and Robotics.

9/13 – present

starting in 9/15 Instructor, Computer Science Department, Stanford University • Leading and teaching Stanford's first CS+Social Good class called CS 90SI - Using Web Technologies to Change

The World. Received over 300 applications for 20 spots. • The class will cover advanced topics related to web development and students will work on small teams to

implement high-impact projects for partner organizations including Google, SIRUM, Govt. Of Delhi among others.

6/15 – present Software Engineering Intern, Pebble • Working on the App and Experiences Squad responsible for improving user experience for Pebble smartwatches. • Projects include making the Pebble Appstore more intelligent by predicting which apps or watchfaces a user is

interested in, extracting context from user emails to automatically push reminders to the watch etc. Working with both front-end and back-end technologies.

12/14 - present Co-Founder, CS+Social Good, Stanford University • Co-founded, leading and structuring Stanford’s first student group focused on the intersection of Computer

Science and social change.

12/14 – 3/15 Research Team Member, Machine Learning Independent Research, Stanford University • Classified the syllables “ba”, “ku”,“im” and “si” from imagined speech EEG signals • Created several unique neural networks that are successfully able to classify �syllable pairs from the EEG data with

over 98 percent accuracy. � Inventor, Anti Molestation Device For Women • Invented and Patented Anti Molestation Device, Declared “Innovator of the Year” by the Indian President. • Programmed the device to give a shock of 0.08 Amperes enough to temporarily paralyze the molester. Clicks

nonstop pictures of the molester and sends it to the nearest police station after facial recognition. Has an emergency-messaging chip. Featured by BBC, CNN and over 50 international media sources.

11/11 - present

P R O J E C T S

A D D I T I O N A L I N F O R M A T I O N

• InVideo Search: A video search engine that allows you to magically search for scenes/actions/objects inside videos. Built at GreyLock HackFest 2015 and won the 3rd Best Hack Overall. Uses a 16 layer convolutional neural network to extract information from video frames.

• TreeID: An automatic leaf image recognition system for plant species identification that can correctly classify all of the 60,000 trees on Stanford’s campus. The system is based on a Growing Convolutional Neural Network model.

• SmartBox: A web-based personal assistant that processes natural language, recognizes voice and measures your brain activity and connects you to the relevant service. Won the “Best Commerce Hack” by eBay/PayPal at CalHacks 2014 (competed with 1500+ hackers)

• Bridge To China: Travelled to Qingling Village in Chongqing Province, China and designed and constructed two bridges and renovated the sanitation system for the local school.

• SafeRoute: Built an Android app with Google IGN that uses crowd sourced data and published police records to provide safest routes between any two destinations.

• Sannu (Transforming Healthcare In Nigeria): Android app for healthcare workers in Kano, Nigeria to achieve a higher standard of work engagement.

• Nominated among “India’s 20 Most Brilliant Minds Under 20” by Times Of India and won India’s most prestigious scholarship, Times Scholars.

• Member of the Stanford Garage at Pejman Ventures, Kairos Society Fellow and Organizer, TreeHacks (Stanford’s first intercollegiate hackathon)

CS106 Section Leader | CS 198 Program | Department of Computer Science, Stanford University

• Leading section on programming methodology, Java, C++, recursion, algorithmic analysis, and data structures. • Helping students debug code; grading assignments and exams.

starting in 9/15