I transform theoretical AI potential into reliable, high-impact business infrastructure. I believe an AI system's true value is realized only when it operates flawlessly at scale, serving real users and delivering measurable outcomes. I lead end-to-end AI/ML initiatives across predictive analytics, NLP, computer vision, and automation—building scalable data platforms, dashboards, and intelligent assistants that drive revenue retention, efficiency, and customer satisfaction. I also mentor engineers, codify standards, and partner with cross-functional teams to ship robust solutions.…

Taro Shibusawa

5.0 (1 review)

I transform theoretical AI potential into reliable, high-impact business infrastructure. I believe an AI system's true value is realized only when it operates flawlessly at scale, serving real users and delivering measurable outcomes. I lead end-to-end AI/ML initiatives across predictive analytics, NLP, computer vision, and automation—building scalable data platforms, dashboards, and intelligent assistants that drive revenue retention, efficiency, and customer satisfaction. I also mentor engineers, codify standards, and partner with cross-functional teams to ship robust solutions.…

Available to hire

I transform theoretical AI potential into reliable, high-impact business infrastructure. I believe an AI system’s true value is realized only when it operates flawlessly at scale, serving real users and delivering measurable outcomes.

I lead end-to-end AI/ML initiatives across predictive analytics, NLP, computer vision, and automation—building scalable data platforms, dashboards, and intelligent assistants that drive revenue retention, efficiency, and customer satisfaction. I also mentor engineers, codify standards, and partner with cross-functional teams to ship robust solutions.

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Skills

Experience Level

Python
Expert
SQL
Expert
PyTorch
Expert
JavaScript
Expert
TensorFlow
Expert
Docker
Expert
AWS
Expert
MySQL
Expert
TypeScript
Expert
Spark
Expert
React JS
Expert
PostgreSQL
Expert
Node.js
Expert
Keras
Expert
Java
Expert
Kubernetes
Expert
GPT
Expert
Google Cloud
Expert
Flutter
Expert
CSS
Expert
Spring
Expert
MongoDB
Expert
Azure
Expert
Solidity
Expert
Snowflake
Expert
Ethereum
Expert
Redis
Expert
Django
Expert
GraphQL
Expert
React Native
Intermediate
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Language

Japanese
Fluent
English
Fluent
Chinese
Advanced

Work Experience

Lead Software Engineer at Base System Corp.
November 26, 2023 - February 20, 2025
https://www.verif.com/ For this Company, led AI/ML initiatives for enterprise-scale predictive analytics and intelligent automation solutions - Predictive Analytics Platform: Architected a company-wide platform processing 2TB+ of daily data from 5M+ users. Built distributed ETL pipelines with Spark & Airflow, and deployed XGBoost models for churn prediction, achieving an 18% YoY reduction in customer attrition and $1.5M in annual revenue retention. - Full-Stack Data Visualization: Led end-to-end development of an enterprise dashboard using React, TypeScript, and D3.js. Engineered a FastAPI backend, reducing average response time from 3.2s to 0.4s. Integrated Kafka for real-time streaming, eliminating 20+ hours/week of manual reporting. - NLP & Automation: Pioneered a transformer-based NLP system to automate categorization of 500K+ annual support tickets. Fine-tuned DistilBERT (92% accuracy), deployed via TorchServe on AWS ECS, reducing resolution time by 35% and improving customer satisfaction by 22%. - Leadership: Mentored 3 junior engineers, established team coding standards, and improved code quality metrics by 45%.
Project Manager at Sakura Data System.
March 10, 2022 - March 22, 2024
For this Company, drove AI-powered innovation in agricultural technology through computer vision and predictive modeling. Computer vision system: designed and deployed a CNN-based defect detection system using YOLOv8, achieving 99.2% accuracy. The system saved over 1,200 monthly labor hours and reduced defect-related losses by 85%. Supply chain forecasting: developed time-series forecasting models (LSTM, ARIMA, Prophet) using PySpark, improving forecast accuracy by 34% and reducing supply chain waste by 20%. AI-powered decision support: created a GPT-3-powered chatbot with RAG architecture for over 3,000 farmers, providing expert advice that reduced crop losses by 15%. Mobile & IoT: Built a Flutter app with on-device TensorFlow Lite inference for over 5,000 users. Architected an IoT data infrastructure connecting more than 500 field sensors.
Data Scientist at Artiza Networks, Inc.
January 12, 2019 - December 22, 2022
For this Company, applied statistical analysis and ML to pharmaceutical research and clinical trials. Clinical trial analysis: performed advanced statistical analysis on phase III trial data for over 10,000 patients. Used Bayesian methods for adaptive trial design, contributing to a four-month acceleration in FDA approval timeline. Predictive modeling: developed LSTM/Transformer models to forecast patient enrollment, achieving 87% accuracy and reducing operational costs by 15% ($2.8M savings). Data infrastructure: architected a scalable data model in Snowflake and built automated ETL pipelines with Airflow, reducing query execution time by 75%.

Education

Master of Science (MSc), Computational Data Science at The University of Tokyo
April 1, 2013 - October 1, 2018

Qualifications

Microsoft Certified: Azure Developer Associate
January 1, 2023 - October 22, 2025

Industry Experience

Software & Internet, Media & Entertainment, Education, Healthcare, Computers & Electronics, Professional Services, Agriculture & Mining, Manufacturing, Life Sciences
    uniE608 Bone Fraction Detector
    Bone Fracture Detection Model using YOLO in which ML model detects the fractured area of bone . A dataset from Roboflow.…
    uniE608 Parking Space Management Using OpenCv and YOLOv8
    This project utilizes YOLOv8n (You Only Look Once) to detect objects in a Parking Space and determine the availability of parking spaces based on predefined polygons. The system highlights detected objects and counts the number of occupied and free parking slots.…
    uniE608 Fruit detection - A Streamlit APP
    A Streamlit app for fruit detection! This app can detect various fruits in an image, identify each object by name, and count the total number of objects present. Leveraging the YOLO model's speed and precision, I’ve integrated it with Streamlit to create an intuitive and interactive experience. I’m thrilled to continue exploring the potential of computer vision and machine learning in practical applications. The YOLO model, known for its speed and accuracy, is integrated with Streamlit to offer a seamless and interactive user experience. 🍉👨‍💻 Check it out and let me know what you think! Feedback and suggestions are always welcome. 🙌 video…
    uniE608 Chatbot for wine Ecommerce Store
    ready to transform your wine shopping experience in the vast world of E-commerce. Alfonso goes beyond traditional chatbots, offering personalized guidance and expert recommendations tailored to your unique taste. Navigate the extensive selection of wines with ease as Alfonso makes your journey through the wine E-commerce store a delightful and informed adventure. Elevate your wine shopping experience with Alfonso—where sophistication meets technology for a tasteful and personalized online cellar exploration…
    uniE608 Software Engineer
    Vin Carnival is a non-profit open source virtual reality game made with Unity 3D game engine and GoogleVR. It must have Google Cardboard or any other compatible VR headset. How to Play: To beat the game you have to score 2000 points on each of the 3 mini games in less than 5 minutes. Plinko: Click on the panel to make the oscillating ball fall. Wheel of Fortune: Click on the Wheel to spin. CoinToss: Click on the coin pile to collect one coin, aim and click at the stand to throw the coin. Available for iOS and Android.…