Designing and deploying full-stack applications that solve real-world problems for communities and personal use. Led projects from concept to deployment - collaborating with end users, iterating based on feedback, and applying modern technologies across AI, web scraping, and computer vision.

Projects: https://evanishibashi.com

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🧠 AI Chatbot with Semantic Search | AI + Backend

Apr 2025 – Present

Python · FastAPI · OpenAI · Pinecone · GitHub Actions · Google Drive API

• Built a custom AI chatbot for Lighthouse Community Church, enabling staff and members to search 10+ years of resources using natural language

• Used OpenAI embeddings + Pinecone for fast semantic search across sermons, meeting notes, and ministry docs

• Automated weekly scraping, chunking, and vectorization via GitHub Actions and cron

• Integrated Google Drive API to fetch and convert files into searchable knowledge

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🏀 who-got-next | Basketball Game Manager

May 2024 – Present

React · TypeScript · Node.js · Express

• Built an app to automate sub rotations and track time during pickup games at Lighthouse Community Church

• Developed real-time timers, buzzers, and a rotation algorithm for balanced playing time

• Worked with staff to refine UX and add features like name editing and game state persistence

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🚗 Used Car Listing Aggregator | Web Scraping + Marketplace

Apr 2024 – May 2024

Python · Flask · React · Selenium · PostgreSQL

• Scraped and cleaned 1,000s of listings from Facebook and OfferUp using Selenium and BeautifulSoup

• Built a React frontend to filter and display 100+ daily listings and price analytics

• Engineered a Flask backend with RESTful APIs & Postgres DB

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📸 Computer Vision Shot Tracker | Object Detection

Jan 2024 – Apr 2024

Python · OpenCV · YOLO · Machine Learning

• Built a real-time app to detect made/missed basketball shots with YOLO and OpenCV

• Trained a YOLO model on custom-labeled footage using Google Collab GPU

• Enabled automated stat tracking from new video

• Developed a dynamic announcements module using Python/Django which facilitated the display of time-sensitive messages on the homepage, enabling users to effectively communicate important reminders to others.

• Utilized Git version control & agile methodologies to collaborate, rank, and discuss feature requests with the team

• Developed and maintained unit, integration, client, functional test suites.

Vungle & Liftoff Merged in 2021

• Successfully integrated over 20 clients by owning an end to end, customer data-heavy, cloud based technical client onboarding process - steps include data evaluation/ingestion, customer education, API integration and deployment.

• Converted client to win a $600k full-year contract through proactive client relationship management, and proving product value

• Served as the trusted liaison between various technical and non-technical stakeholders - data science, engineering, leadership, sales, and product

• Leveraged Python and SQL to qualify data samples checking for discrepancies prior to full client data transfer, saving days of back and forth

• Built Looker Dashboards to proactively identify growth opportunities through client data

• Collaborated with Data Science to host customer data in AWS S3, ran model training with Apache Airflow, and delivered user LTV predictions to clients.

• Managed codebase with Git and Github, creating and merging branches, resolving conflicts, and reviewing pull requests

Held various roles within the recruiting org.

via Nelson Staffing

• Designed, implemented, and scaled an automation feature using Apps Script that sent personalized emails to interview candidates, reducing manual workload and saving hours per week for the recruiting team.

• Revamped recruiting strategy by providing data-driven insights on candidate pipeline exit reasons based on data from Google's Tokyo office, which led to the successful hiring of a senior engineer.