# Tommy H. > Full Stack Engineer | Product Manager, Frontend Development, UX Design Location: Greater Boston, United States Profile: https://flows.cv/tommyh I am dedicated to empowering communities to embrace the latest technologies through accessible user interfaces that create exceptional user experiences. My career spans various fields, from developing a UI for building conversational AI applications at MIT App Inventor and leading machine learning workshops for grades 6-8, to designing accessible interfaces at Tutor Intelligence that enable manufacturing companies to adopt robotic automation without requiring advanced technical training. I firmly believe that technology should be inclusive and accessible to all, a philosophy that guides my work to bridge the digital divide. If you are interested in collaborating or discussing innovative projects, please feel free to reach out. I am always eager to connect with like-minded professionals who are passionate about making a positive impact. ## Work Experience ### Frontend Software Engineer @ Citadel Jan 2024 – Present | New York, New York, United States ### Frontend Developer @ Tutor Intelligence Jan 2022 – Jan 2024 | Boston, Massachusetts, United States ### Frontend Software Engineer @ Conservation X Labs Jan 2022 – Jan 2022 AI Integration: Developed UI for conservation non-profits to incorporate computer vision software with their sentinel cameras ### Student Researcher @ MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) Jan 2018 – Jan 2021 • Created a Conversational AI Interface (CAII) for MIT App Inventor allowing students to develop apps for conversational agents like Amazon Alexa and Google Home using visual programming. • Delivered a presentation at the 10th Annual MIT App Inventor Summit showcasing my Conversational AI Interface and held workshops afterwards for the attendees. • Lead workshops for local high school students, taking live feedback for the Conversational AI Interface. • Trained a text-generating Long-Short Term Memory (LSTM) neural network using the Python Tensorflow library • Deployed several pre-trained LSTM neural network on a node.js web server using Tensorflowjs. ### Teaching Assistant @ Breakthrough Silicon Valley Jan 2018 – Jan 2018 | San Jose, California • Organized and managed team members to implement enrichment activities, including Lunch-and-Learn Speaker visits and the End of Summer Celebration. • Provided technical support for students on an as-need basis on their individual programming projects. • Collected student outcome data and compiled reports for the on-site administrative team. ### Student Researcher @ Stanford University Jan 2017 – Jan 2017 | Stanford, California • Developed a time series forecasting Long-Short Term Memory (LSTM) neural network with the Python Tensorflow library to aid in the project's autonomous mobility simulations. • Defined a custom loss function which heavily penalized over-estimation in order to reward conservative predictions. • Utilized dropout as a method of obtaining a probability distribution of the model’s predictions. • Used Github for version control of the model and to aid in collaborating with other members of the lab. ### Teaching Assistant @ Camelot Summer Institute Jan 2015 – Jan 2015 • Assisted and lead lessons about geometry targeted to incoming high school freshmen. • Expressed ideas simply and concisely to students for instruction. ## Education ### Master of Science - MS in Electrical Engineering and Computer Science Massachusetts Institute of Technology ### Bachelor of Science - BS in Computer Science Massachusetts Institute of Technology ### High School Diploma William C Overfelt High School ## Contact & Social - LinkedIn: https://linkedin.com/in/tommy-seng-heng --- Source: https://flows.cv/tommyh JSON Resume: https://flows.cv/tommyh/resume.json Last updated: 2026-03-31