Hikaru Ikebe

Aspiring Software/ML Engineer focused on building products that make an impact on our world.

New York, NY, USA

LinkedIn
HI

About

As a new grad Software/ML Engineer, I aspire to design and develop projects that make an impact on our world. I like to take ownership of my projects but am always open to feedback so that I can absorb and learn as much as possible. I thrive in a collaborative environment where we all work towards a common goal.

Work Experience

Amazon Web Services
Hybrid

2024 - Current

Software Development Engineer

Technologies: React, REST API, Java, TypeScript

Amazon Ads
Hybrid

2023 - 2023

Software Development Engineer Intern

Developed a data pipeline for advertisement technologies that successfully ingests over 100 million Amazon user IDs in the US market. Collaborated with senior engineers and product manager to future-proof product and pushed project to production.
Technologies: AWS, Python, TypeScript, SQL, Spark

Amazon Ads
Hybrid

2022 - 2022

Software Development Engineer Intern

Constructed cache pipeline to process data for users opting out of targeted advertisements. Architected a system that successfully reads 1 million QPS and writes 15 QPS in US and European markets.
Technologies: AWS, Java, TypeScript, CI/CD

The University of Tokyo
Hybrid

2020 - 2021

Machine Learning Research Assistant

Research Convolutional Neural Networks (CNN) and Binary Neural Networks (BNN) and its viability on edge devices. Improved accuracy of vanilla BNN by 0.8% while reducing computation parameters by 73% on CIFAR-10 image dataset.
Technologies: Python, PyTorch, TensorFlow, CUDA

Education

Columbia University in the City of New York

Master of Science, Computer Science

The University of Texas at Austin

Bachelor of Science, Biomedical Engineering

Skills

Python
Java
JavaScript
TypeScript
SQL
UNIX
Go
C
Amazon Web Services (AWS)
Git
Spark
NumPy
Pandas
OpenCV
PyTorch
TensorFlow
MongoDB
CUDA
React
Express
NodeJS

Projects

Tabelog 100

React web app that introduces exclusive top 100 award winning restaurants in Japan in multiple cuisines/genres.

CI/CD
JavaScript
React
Node
Express
SQL
Big Data
Web Scraping

GoParkMe

Fullstack web app that navigates clients to vacant parking spots, which are detected using live CCTV and Mask-RCNN (computer vision AI) techniques

AWS
CI/CD
Python
Computer Vision
Big Data

Photo Album Web Application

Photo album web app that allows users to upload and search photos using text and voice commands using CV and NLP techniques

AWS
CI/CD
Python
JavaScript
Computer Vision
Big Data

NYC Restaurant Recommender

Chatbot that uses Yelp API data to recommend restaurants to users based on their preferences.

AWS
Python
Big Data

Self Driving Car

Project for me to study and build neural networks in a non-Python language from scratch. The agent learns how to drive a car through traffic over time.

Side Project
JavaScript

Smart Snake

Project for me to study reinforcement learning and deep Q-learning. The agent learns how to play the game Snake using these two ML methods.

Side Project
Python
PyTorch

Cryptopoly: Hoya Hack 2022 Build-a-Game Track Winner

Cryptocurrency-themed Monopoly web app multiplayer game. Property prices are based on real-time crypto prices.

Hackathon
JavaScript
HTML/CSS