Real-time Ensemble Data for Understanding Suicide Epidemiology

Cross Domain Context Prediction for Sketch-Based Image Retrieval

Facebook’s Scene Understanding and Modeling Challenge.

Computing Betweenness Centrality on Streaming Graphs



Head Teaching Assistant for Intro. to Artificial Intelligence

Georgia Institute of Technology

Aug 2019 – Dec 2019 Atlanta, GA
  • Managed a team of 17 Teaching Assistants in grading coursework and proctoring exams for 450 undergraduate students
  • Developed entirely new mass autograder system with built-in plagiarism detector to reduce the time each TA must spend grading from 2 hours to 15 minutes.
  • Served as guest lecturer on Particle Filtering for a class section with 300 students
  • Created new material with detailed explanations of concepts such as Admissible & Consistent Heuristics and Mutual Information and with additional examples to ensure students have a firm grasp of course material
  • Lead review sessions to help students better understand course concepts in preparation for projects and exams
  • Find out more about my efforts in the course here

Computer Vision Intern

The Home Depot

May 2019 – Aug 2019 Atlanta, GA
  • Fine-tuned 20+ models to extract fine-grained features from furniture images to enable training of a generative model that could produce aesthetically compatible furniture collections
  • Developed a reusable framework for quickly aggregating images from the various data sources, performing data cleanup and augmentations, fine-tuning ResNet/VGG models, and finally evaluating using F1 scores and confusion matrices


Duke TIP

Jun 2018 – Aug 2018 Houston, TX & Atlanta, GA
  • Taught a total of 40 students for four weeks across two courses: Modern Programming and Artificial Intelligence
  • Designed syllabi, conducted parent-teacher conferences, crafted assignments spanning five core topics: Fundamentals of Python Programming, Web Development, Pathfinding, Machine Learning, Natural Language Processing
  • Find out more about the courses I created here

Software Engineer


Jun 2017 – Jun 2018 Atlanta, GA
  • Automated a data collection task that consumes 90 days’ worth of data for researchers to create adaptive fraud detection models
  • Optimized memory consumption for a new service to use 75% less memory than previous implementations
  • Created new framework for continuous deployment of fraud detection models to production systems
  • Migrated database records from Postgres to Redis and used custom key-value encoding to optimize lookup time

Recent Talks

A colleague and I presented the findings of the GAN paper by Ian Goodfellow to fellow graduate students.

Recent Publications

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Recent Posts

In Fall 2018, I decided to apply to be a speaker for TEDxGeorgiaTech's Fall speaker salon. I was chosen as one of the 6 speakers among …