# Gekai L.

> SDE @ AWS S3 Express, CSE @ Harvard

Location: Boston, Massachusetts, United States
Profile: https://flows.cv/gekai

Passionate software engineer with proven expertise in developing and delivering robust applications. Served as a Software Development Engineer Intern at Amazon Web Services, increasing test coverage by 150% and validating functionality under stress. Designed and built a full-stack JavaScript web app using Node.js, Express, and MongoDB, allowing users to create, read, update, and delete campground reviews. Implemented a distributed web crawler in Python using gRPC that improved speed by 50% through leveraging multiple nodes. Led software development for a weight sensing module using Arduino during an internship with Yummy Future Inc.  Proficient in Python, C/C++, JavaScript, Java, and more. Skilled with tools like Node.js, MongoDB, AWS, TensorFlow, and PyTorch. Continuously learning new technologies and frameworks. Seeking full-time opportunities to apply my educational background and experience to develop innovative software solutions.

## Work Experience
### Software Engineer @ Amazon Web Services (AWS)
Jan 2024 – Present | Boston, Massachusetts, United States
AWS S3 Express and Edge

### Software Dev Engineer Intern @ Amazon Web Services (AWS)
Jan 2023 – Jan 2023 | Boston, Massachusetts, United States
S3 on edge team

### Undergraduate Research Assistant at Mobility and Fall Prevention Research Lab @ University of Illinois Urbana-Champaign
Jan 2020 – Jan 2022 | Champaign, Illinois, United States
• Enrolled in the research project, focused on turning offline signal processing into real-time signal processing, applied the methodology through the integration of real-time sensing of anxiety changes with biofeedback
• Completed real-time signal environment simulation, handled EEG signal noise reduction independently, researched the brain-computer interface for acrophobia monitoring assisted in extracting frontal alpha asymmetry and conducted calculations to adjust the VR environment in real-time, determined the anxiety state by signal data
• Published two full contributed papers at IEEE/EMBS international conference on Neural Engineering (NER)

### Undergraduate Research Assistant at National Center for Supercomputing Application @ University of Illinois Urbana-Champaign
Jan 2021 – Jan 2022 | Champaign, Illinois, United States
• Working with Prof. Hope Michelson on her research project “Machine Learning to Detect Fertilizer Adulteration in Developing Countries”, focusing on improving the existing classification model to optimize the APP based on the feedback from Tanzanian users, with the goal of implementing the service of accurately assessing the nutrient content of fertilizer

### Undergraduate Research Assistant at Intelligent Motion Lab @ University of Illinois Urbana-Champaign
Jan 2021 – Jan 2021 | Champaign, Illinois, United States
• Participated in the research project to study robot perception and tele-operating robots, developed a model that can learn without catastrophic forgetting, allowed the robot to continuously recognize different objects
• Researched the papers on continuous learning and deep learning, built a continuous learning framework for object detection, trained a dynamic learning model and completed model optimization

### Mechanical/Robotics Engineer Intern @ Yummy Future Inc.
Jan 2021 – Jan 2022 | Champaign, Illinois, United States
• Worked in an early-stage YC startup company to assist in developing a robotic coffee shop
• Headed the weight sensing module project using Arduino and weight sensors, designed custom part on Fusion 360, integrated it to the coffee system, and formalized different mechanical and electrical techniques and methodologies


## Education
### Master of Science - MS in Computational Science and Engineering
Harvard University

### Bachelor of Science - BS in Mechanical Engineering
University of Illinois Urbana-Champaign


## Contact & Social
- LinkedIn: https://linkedin.com/in/gekailiao

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Source: https://flows.cv/gekai
JSON Resume: https://flows.cv/gekai/resume.json
Last updated: 2026-03-31