I am interested in the fusion of technology with the real world, especially in the field of Data Science. I love to get exposed to novel ideas and figure out ways to bring them to life. I aspire to make efforts that produce visible effects within the community.

I tweet @Satvik_Sh
SKILLS
  • Languages - Python, Java, JavaScript, Rust, R, SQL, C++, MATLAB
  • Frameworks - TensorFlow, pyTorch, scikit-learn, Spring, Flask, Falcon, React
  • Tools - Spark, Azure, AWS, Docker, Unix/Linux, Latex
EDUCATION
University of Washington, Seattle - Bachelor of Science
Junior - Computer Science, GPA: 3.81
Annual Dean's List
Coursework:
  • Deep Learning
  • Advanced Machine Learning
  • Data Structures and Parallelism
  • Cryptography
  • Programming in R
  • Quantitative Statistics for Data Science
  • Statistical Machine Learning
  • Data Management
  • Intro to Algorithms
  • Database Internals
  • Natural Language Processing
  • Advanced Multivariable Calculus
  • Linear Algebra
  • Differential Equations
  • Vector and Complex Analysis
  • Scientific Computing and Numerical Analysis
  • Web Development
  • Art History: Renaissance to Modern Art
  • Art History: Michelangelo
  • History of Immigrants in the U.S.
Study Abroad: English London (Summer 2017)
  • Art, Architecture, and Society in London
  • Contemporary Britain
  • London's Contemporary Theater
PROJECTS
news-t (2020)
  • Made news consumption simpler by providing an aggregated interface for interaction.
  • Stack: React (TypeScript), NodeJS (TypeScript), Redis, ELK
Data Constrained classification using Residual Networks (2018)
  • Developed a novel training approach to deal with classification problems in data constrained environments (~100 samples per class).
  • Achieved 4x improvement in validation accuracy over vanilla transfer learning by using greedy training, auxiliary loss, and elastic loss regularizer.
  • Stack: Python, keras, pandas
The Airbnb Revolution (2018)
  • Developed evaluations and wrote a paper to perform imbalanced learning on Airbnb's Dataset and predict the country of booking for a new user.
  • Stack: Python, XG Boost, scikit-learn (AdaBoost, Losgistic Regression, MLP, and more), numpy, pandas
Trusted Receivables - Dubhacks (2018)
  • Developed a tool to curtail the rise of stolen packages from the porch of residential buildings/apartments using security camera feed.
  • Used Object Detection to generate tags for each frame of input through Cognitive Services and inform user of suspicious activities using Twilio.
  • Stack: Python, OpenCV, scikit-image, Microsoft Cognitive Services (Computer Vision), Twilio API
Code, Comments, and Issues - SWEHacks (2018)
  • Developed a platform to contrast top GitHub repositories based on 'Issues comments' with any user-input GitHub repository.
  • Used Watson's Tone Analysis over the comments extracted from most the active repositories to quantify standards for open-source collaboration.
  • Stack: Python, IBM Watson, Github API, bokeh
Art and R - Personal Project (2017)
  • Analyzed the emergence of patterns across different color spaces in over 150 paintings from the 15th century using Image Analytics.
  • Stack: R, Shiny, highcharts, Tableau
Education and Millennium Development Goals – Group Project (2017)
  • Surveyed the education indicators among different countries from the MDG dataset published by the UN for past 20 years.
secure.steps - Dubhacks (2017)
  • Using Bing Maps API, R, JS, CSS, and HTML, made a web application that used Seattle Police Department's records to re-route users to take the safer routes instead of the quicker ones.
  • Stack: R, Bing Maps API, HTML, CSS, JavaScript
Alpha Maths - DefHacks (2017)
  • Developed a Microsoft HoloLens application to render solutions to input virtual equations and questions.
  • Stack: C#, Wolfram Alpha API, Unity
SolBot - Winfo Hackathon (2017)
  • Developed a chat bot to help and provide solutions for countering the growing rate of depression among teenagers.
Seattle Healtcare Solutions - Foundation of Informatics (2017)
  • Digitized the process of filling out of forms during medical emergencies by making wireframe and prototype of a web application, thus saving valuable time.
EXPERIENCE
WarnerMedia (HBO) - Staff Software Engineer (February 2020 - Present)
  • Technologies used: NodeJS (TypeScript + JavaScript), Python
Are We Having Fun Yet? - Host (May 2020 - Present)
  • Record, edit, and publish weekly podcast episodes across platforms including but not limited to Spotify, Apple Podcasts, and Google Podcasts.
Deep Learning (CSE 599G1), Allen School @ University of Washington - Teaching Assistant (September 2019 - December 2019)
  • Held office hours every week to help students with assignments/concepts as discussed in the class.
  • Developed docker containers to grade weekly assignments of over 150 students in isolated environments.
Hulu - Software Development Engineer Intern (June 2019 - August 2019)
  • Developed, deployed, and tested a tool to reduce the problem resolution time for Hulu Live TV customers in cases of wrong channel listing.
  • Designed a backend API to consume multiple microservices and decode relationships between geographic and channel metadata.
  • Integrated the backend with an interactive frontend to facilitate easier conflict resolution for Live TV users by Resolution Specialists.
  • Technologies used: Java (Spring, RxJava, Lombok, Mockito), React, Leaflet
metalab (at) Harvard - Research Assistant (March 2019 - June 2019)
  • Led the project development and research on a Machine Learning based interactive art exhibition for the Harvard Art Museums.
  • Developed and trained deep ensemble models and GANs to learn about the evolution in temporal settings.
  • Designed and implemented scalable API with containerized database, backend, and frontend to render predictions from models.
  • Headed a workshop to give an introduction to Data Visualization, Machine Learning, Deep Learning, and GANs.
  • Technologies used: Python (pyTorch, scikit-learn, XGBoost, pandas, falcon, flask), PostgreSQL, Docker
Allen School @ University of Washington - Deep Learning Research Assistant (January 2019 - March 2019)
  • Explored the existing techniques in Few Shot Learning and trained models to make progress towards better generalization.
  • Conducted experiments surrounding Snapshot Ensembles, Autoencoders, and Superpixel segmentation to discover their trade-offs.
Foundations of Computing II (CSE 312), Allen School @ University of Washington - Teaching Assistant (January 2019 - March 2019)
  • Led a discussion section for 30 students every week, held office hours, and graded weekly assignments/examinations.
  • Topics involved: Probability, Random Variables, Central Limit Theorem, and Maximum Likelihood Estimation.
Engineering Academic Center, University of Washington - Mathematics Tutor (April 2018 - March 2019)
  • Organized workshops twice every week to teach students course content from higher level linear algebra and differential equations.
  • Guided and tutored students on concepts of calculus and pre-calculus to enhance the problem solving skills and refine the fundamental concepts.
Introduction to Digital Humanities, iSchool @ University of Washington - Teaching Assistant (September 2018 - December 2018)
  • Assisted head faculty member with classroom instruction material and monitor student progress to identify areas that require improvement.
  • Technologies involved: Omeka, Digital Scholar Lab, OpenRefine, Lexos, Voyant
Berkman Klein Center, Harvard University - Research Intern (June 2018 - August 2018)
  • Developed a Neural Network based off ResNet-50 to infer identity of artists from photographs achieving over 40% accuracy.
  • Implemented Neural Style Transfer to make the user-input images resemble a painting from the predicted lesser-known artist.
  • Libraries and resources used: keras (w/ tensorflow backend), Amazon Elastic Beanstalk, flask, wikipedia, numpy, pandas, imagesoup, JavaScript, kaggle (dataset)
  • Presentation
  • Presentation Slides
  • Code
Newbook Digital Texts, University of Washington - Research Assistant (April 2017 - October 2018)
  • Pioneered the transformation of the existing websites to make them easily accessible to research teams and potential users. Technology: Drupal
  • Transcribed, summarized, and revised texts from ancient diaries that offer a glimpse into the life, trade, and politics of the Ottoman Baghdad.
def hacks(), Seattle - Logistics Head (March 2017 - October 2018)
  • Developed and administered plans for effective organization of a hackathon with over 150 participants.
Rick's Cafe, Seattle - Communications Coordinator (October 2017 - May 2018)
  • Managed and coordinate the creation and management of the web-content for effective communication and exposure.
  • Volunteered twice a week as Barista and Cashier to help-out with day-to-day operations.
Triumph Mediatech Pvt. Ltd., New Delhi - Intern (July 2017 - September 2017)
  • Examined the behavior of the website audience and identified ways to increase the interaction time and improve the user experience through SEO. Technology: Google Analytics
  • Communicated with customers, employees, and other individuals to answer questions, disseminate or explain information, and address complaints.
Elizabeth Gregory Home, Seattle - Volunteer (September 2016 - December 2016)
  • Managed the facility of the day-care-center for homeless women and provided IT support.
  • Coordinated events and ensured the smooth operation of the $120,00 grossing fundraiser.
AWARDS
  • Best in Show - SWEHacks (2018)
  • Phi Sigma Theta National Honor Society Nomination (2018)
  • Best in Show - DefHacks (2017)
  • Best Potential for Social Impact - Foundation of Informatics (2017)
  • Golden Key International Honors Society Nomination (2017)
  • Society of Collegiate Leadership and Achievement Nomination (2017)
  • AP Scholar with Distinction (2016)
  • AP Scholar (2015)​
RECOMMENDATIONS
Podcasts
  • The Daily
  • Today, Explained
  • So Money
  • Bombshell
  • Analysis
  • Listen Money Matters
  • Left, Right & Center
  • The Minimalists