I'm currently an Engineer at Amazon Alexa AI working on the machine learning data platform. I graduated from Brown University with my Bachelor's in Applied Mathematics and Computer Science in 2019 and with my Master's in Computer Science in 2020.
Here's a link to a pdf of my resume
Machine Learning Data Platform
- Created machine learning regression models and Docker container deployment infrastructure to Amazon Web Services using Fargate, ECS, Lambda, and ECR
- Built an ETL pipeline to evaluate machine learning models sales predictions for restaurants on AWS (DynamoDB, SQS)
- Visualized and analyzed time series model prediction performance using python
- Created a management system for a financial data framework using React, PHP, SQL, and Python
- Updated code deploy strategy and created dedicated server groups for applications
- Explored novel 3D scanning techniques to digitize Wayfair’s vast catalog to be used for augmented reality, virtual reality and 3D rendering
- Developed a mobile scanning app that uses a depth sensor to generate a 3D scan of an object in C# using Unity
- Built a python testing framework for testing masking algorithms and photogrammetry workflow
- Created a file-sorting algorithm in python to increase 3D model generation efficiency
- Worked with 4 students to develop a Chrome Extension to hide harassing content on a variety of common social media platforms.
- Built a robust toxicity classifier that was trained on millions of comments using a Long Short Term Memory Model.
- Built a scalable flask-based API Endpoint served on AWS.
http://aanshshah.com/stop-harassment-site/
- Implemented multi-user networking in C# and created social virtual reality application in C# using
Unity for the GearVR and Oculus Rift.
- Created an animated navigation experience for the Oculus Rift using IBM’s Watson Speech APIs and
Geolocation APIs using Unity in C#.
- Prepared and delivered weekly presentations on new technology and trends in the virtual reality space.
- Raised thousands of dollars in seed funding and on-boarded 12 companies.
- Used Twilio API to record automated phone call interviews and created a natural language processing
algorithm to prioritize candidates based on contents of their interviews.
- Lead and supervise a team of two engineers and one sales associate.
- Developed a video-based networking platform used by more 500 users with Django and Javascript.
- I designed and built an instant messaging platform that was used by over 200 active users who generated more than 7,000 messages.
- Created software to generate thumbnails upon video upload and produced 10,000 thumbnails over the course of the summer.
- Guide high school students in developing novel solutions for data science problems
- Taught interactive, online course in Artificial Intelligence to high school students
- Created automated grading infrastructure for the class using python and helped develop class material for a class size of 140.
- Developed assignment on searching algorithms (breadth/depth first search, bidirectional search, iterative deepening search, A*)
- Helped make assignment on knowledge representation and reasoning in Prolog.
- Hold weekly office hours and answer students’ questions about assignments and course material.
- Managed 18 teaching assistants and handled grade complaints as Head Teaching Assistant (Fall 2019)
- Managed 7 teaching assistants, developed course materials, held office hours, and graded assignments for a class size of 40.
- Designed course from scratch with Professors Daniel Potter and Sam Watson
- Created assignments on Convolutional Neural Networks, Recurrent Neural Networks,
Attention/Transformer Models, and other Deep Learning topics using Keras and Tensorflow.
- Used numpy and sympy to create models for differential equations and linear algebra algorithms.
- Worked with Professor Vladimir Dobrushkin to create an easily accessible scripting tutorial for
students.
Notable Awards: 1st place (APA) at Intel International Science and Engineering Fair, Finalist in New York State Championship Debate Tournament
We believe that video games are an essential part of a childhood. We aim to provide video games and consoles for the underprivileged youth in our community.
- Supervise and lead a team of 17 data journalists to produce infographics and write data-driven articles.
- Supervised the creation of news apps and interactive graphics.
- Led development of an innovative, interactive-platform to display data-driven articles: First Drafts
Associate (January 2017 - May 2017), Associate Director (May 2017 - December 2017), Director (January 2018 - December 2019)
- Collaborate on lesson plans with teachers and student coaches.
- Engage students in thoughtful debates about current policy issues.
- Responsible for generating tournament pairings and results.
+ Researched information on bills recently passed by the Assembly.
+ Drafted letters to constituents informing them about current legislation.
+ Attended local community events, press conferences and constituent meetings.
+ Participated in roundtable discussions with the Assemblyman, his Chief of Staff,
and Legislative and Communications Directors, to brainstorm solutions for current issues and ideas for
future legislation.
+ Helped design legislation: tax credits for alternative energy use and provide further safety for
state life guards.
+ Worked with environmental and health safety lobbyists.
+ Coordinated “Skintelligence” campaign that raised awareness about skin cancer.
- Used knowledge graph embeddings to capture common sense linguistic priors in reinforcement learning environments (with Professor George Konidaris)
- Working with Professor Michael Littman, Neil Sarkar, and Carsten Eickhoff on using unsupervised learning techniques to predict readmission within a 30-day window of a patient being released using a multi-layered neural network architecture.
- Working with Professor Michael Littman on socially-strategic autonomous driving using reinforcement learning and game theory.
- Employed an adaptive policy computer from the Stackelberg Equilibrium of a two-player driving game to enable autonomous cars to safely assert themselves in scenarios requiring social negotiation with a human driver.
https://arxiv.org/abs/1908.08641
- Analyzed EEG and behavioral data from participants who have taken Tolcapone using targeted dimensionality reduction and regression techniques
- Determined whether electrophysiological and behavioral signatures of enhanced prefrontal dopamine are consistent with it serving to stabilize prefrontal firing patterns and reduce state transitions
- Designed user interface for IFTTT that was used to aggregate user preferences for Trigger Action
Programming devices in Smart Homes and gathered data for device automation in Smart Homes.
- Coauthored submission to CHI 2017 Conference: “Mitigating Ambiguity in Trigger-Action Programming
for Home Automation."
UPOD
Study (N=259) explored the interaction between the gender of the bully and the victim, as well as the
impact of type of bullying behavior (physical versus verbal) on the perceived aggression of a bully
and the punishment given to him or her.
https://abstracts.societyforscience.org/Home/PrintPdf/12570
Apart from being a developer, I enjoy a variety of things. I enjoy traveling the world, playing golf, and binge watching shows on Netflix.