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Lifelong self-learner who enjoys complex problem solving and producing beautiful, well-documented, and maintainable code.
Skills
Languages
- TypeScript
- JavaScript
- Python
- Rust
- Bash
- Java
- C
- C++
- C#
- R
- HTML/CSS
- PHP
- Lua
- LaTeX
Software & Tech
- Linux
- Windows
- Git
- MySQL
- .NET
- XML
- JSON
- Jira
- ROS
- CUDA
- PyTorch
- Tensorflow
- Apache
- NGINX
- Perforce
Virtualization
- Docker
- VirtualBox
- VMware
- KVM
- QEMU
Embedded
- Arduino
- IoT
- I2C
- UART
- Raspberry Pi
Methodologies
- Agile
- Scrum
- CI/CD
- RESTful APIs
- MVVM
- MVC
Mathematics
- Statistics
- Linear algebra
- Machine learning
Soft Skills
- Teaching
Education
2016 - 2020
Experience
Software Engineer
HBO Max
- Building billing and promotions systems
- Implementing RESTful microservices in TypeScript
March 2021 - present
Software Engineer
Bluebox
- Served working drivers by developing an IoT dashcam that saves money and provides security
- Built an backend/embedded video processing and streaming pipeline from the ground up in Rust
- Designed a REST API to serve mobile users
- Wrote testing suite for thousands of lines of code
- Agile development with coordination between software, hardware, product design, and sales teams
- Worked close to the product in a rapidly-evolving environment
- Issue tracking, code reviews, and documentation authoring
- Maintained CI/CD pipelines using GitLab and Docker
March 2020 - Nov 2020
Research Assistant
Personal Robotics Lab
- Improved real-time food/image detection speed for robotic assisted feeding
- Deployed machine learning models in Python with PyTorch, Tensorflow, and CUDA
- Developed on embedded robotic systems in C++ and Python for ROS
- Investigated curiosity as an intrinsic motivator for reinforced learning
- Worked in a variety of development and research teams
February 2019 - March 2020
Research Assistant
Pervasive Computing REU @ Temple University
- Created novel methodologies for measuring the practicality of facial forgery detection models
- Expanded a facial forgery video dataset by 3 fold
- Independently conducted research and compiled findings into a paper within a 10 week period
- Deployed machine learning models (GANs) and utilized transfer learning in Python with PyTorch
- Administration of a Linux server for running experiments in Docker
June 2019 - August 2019
Research Assistant
Autonomous Flight Systems Laboratory
- Led a team of 7 to develop a data management application to consolidate lab reports and inventory
- Designed a drone-mounted LiDAR mapping data collection system used for multiple lab experiments
- Supervised code reviews, weekly meetings, ticket tracking, and weekly meetings
- Full-stack development for a Windows application using C#/.NET and an MVVM pattern
- Established real-time data streams used for drone simulations
- Agile/Scrum development in a rapidly-evolving environment
- Administered and audited Linux servers
August 2017 - January 2019
Instructor
iD Tech Camps
- Taught machine learning and programming to teenagers using Jupyter Notebooks
- Image classifications with CNNs
- Reinforced learning with Q-learning and ANNs
June 2018 - August 2018
Research
Research conducted at various labs during my undergraduate studies.
Extended Abstract - On the Generality of Facial Forgery Detection
Poster presentation at Queer in AI affinity workshop at NeurIPS 2019
Extended abstract at REUNS 2019
Extended abstract at REUNS 2019
June 2019 -
December 2019
Acknowledgement - Adaptive Robot-Assisted Feeding
Published for IROS 2020
September 2019 -
October 2019
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See all Researches for more examples!
