Avinash K. Jain
Experience
|
TigerTalk |
November 2019 - Current
|
| Co-Founder & CTO |
- Developed and scaled communications coaching software combining human feedback and AI
- Built a client management platform with conversational intelligence and audio/video analysis
- 30K in beta revenue from speech & debate programs and training firms
|
TheCodex -
San Jose, CA
|
June 2017 - Current
|
| Founder |
- Built an ed-tech platform helping students build Python projects
- Currently teaching over 650,000 students worldwide how to code
- Developed a scalable learning management system for 5K monthly users
16 programming courses, 200+ hours of content, 50K+ subscribers on YouTube
|
Cal Hacks -
Berkeley, CA
|
January 2019 - December 2020
|
| Executive Director |
- Led a 26-person director team to pivot and spearhead 2 new virtual initiatives during the height of the pandemic
- Launched a 2,000 person global hackathon (hack:now) in just 4 weeks
- Experimented with Hack Month, a month-long side project hackathon implementing high-touch interaction and cohorts
- Taught Cubstart iOS for 2 years, built curriculum and recorded lectures
|
Amazon -
Remote
|
June 2020 - August 2020
|
| Software Development Engineer Intern |
- Automatically extrapolated insights from Big Data through graph theory modeling and clustering algorithms
- Deployed serverless architecture with AWS Lambda and S3
- Discovery of insights from large datasets now 90% more efficient
|
Apple -
Cupertino, CA
|
May 2019 - August 2019
|
| Software Engineer Intern - News Team |
- Increased efficiency of News Preview tool by 95% through updated backend integration
- Developed on-device preview that improved ease-of-access for hundreds of publishers and developers
- Effectively worked with a cross-functional team to upgrade News Preview
|
Project YX -
Santa Cruz, CA
|
April 2018 - August 2018
|
| Software Engineer Intern |
- Researched and developed a log management dashboard utilizing DataDog and AWS
- Improved ease of content sharing by building an iOS share extension for both client and enterprise app
Awards
| Grand Prize Winner | Jane Street ETC |
|
July 2019
|
| Google Case Study Partnership |
|
January 2019
|
| 3rd Place Overall | Cal Hacks |
|
November 2018
|
| Regents and Chancellor's Scholarship | UC Berkeley |
|
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August 2018
| Best Microsoft Hack / Most Popular Hack / Top 30 | NWHacks |
|
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January 2018
| 1st Place Overall | BaseHacks |
|
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April 2017
| Best iOS App | HSHacks III |
|
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March 2017
| Top 10 Overall / Best Educational Hack | PennApps XV |
|
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January 2017
Education
|
University of California, Berkeley |
Majoring in Electrical Engineering and Computer Science
Top <1% of all UC Berkeley students (Regents Scholar)
GPA: 3.84
Expected Graduation: 2022
Skills
Proficient:
Python,
Machine Learning,
Numpy,
Pandas,
Swift,
Objective-C,
Flask,
Django,
Firebase,
HTML,
CSS,
JavaScript,
React,
AWS,
SQL
Familiar:
C# (Unity),
C/C++
Projects
| SyncUp |
|
|
*Won 3rd Place at CalHacks
*Partnered with Google for a Case Study
*Participated in Berkeley's prestigious SkyDeck incubator program
- Built a web platform that performed real-time analysis on dance videos and gave feedback when compared to videos of an expert
- Utilized a combination of 3 comparison algorithms to quantify differences between videos and give critical feedback
| Iris |
|
|
*Synopsys Science Fair '18 Winner
- Developed an Arduino device with 3D-printed octagons to rotate and facilitate the learning of braille characters
- Engineered a voice-controlled iOS application that serves as the device controller to teach and test braille
- Programmed a flask server to update the Arduino device and send the proper rotational movements from the iOS app
| Talky (NWHacks) |
|
|
*Won Best Microsoft Hack, Top 30 Overall, Most Popular Vote
- Built an iOS app that coached public speaking using voice analysis
- Communicated with the coach through a chat-like interface that recorded speeches and gave constructive feedback
- Integrated flask backend to analyze audio for words per minute, volume, pausing and clarity
| MedicAI |
|
|
*Synopsys Science Fair Winner '17
- Devised a messaging service for the diagnosis of various medical issues through text and images
- Implemented a machine learning algorithm for the identification and analysis of images through SVM
- Engineered a custom natural language processing algorithm for obtaining symptoms through text
| Guru (PennApps XV) |
|
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*Won Top 10 Overall, Best Educational Hack, $1000 Grant from 1517
- Developed iOS App for students to get their questions rapidly answered through a video call
- Integrated seamless live video technology through Twilio
- Implemented a collaborative whiteboard to draw and explain with
| PinPoint (SMHacks) |
|
|
*Won Best Android App
- Built an Android app to discover the most efficient route to take while getting groceries in a store
- Devised a mock bitmap and 2D array of the store layout
- Implemented the TSP and A* algorithms to calculate the best route to follow from item to item