# Evan Ishibashi > Forward Deployed Engineer @ Doppel Location: New York, New York, United States Profile: https://flows.cv/evanishibashi ## Work Experience ### Forward Deployed Engineer @ Doppel Jan 2025 – Present | New York, NY ### Software Engineer @ Unknown Jan 2024 – Jan 2025 | Los Angeles Metropolitan Area 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 ⸻ 🧠 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 ⸻ 🏀 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 ⸻ 🚗 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 ⸻ 📸 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 ### Software Engineer @ Rithm School Jan 2023 – Jan 2023 | San Francisco Bay Area - 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. ### Software Sales / Solutions Engineer @ Liftoff Mobile Jan 2020 – Jan 2023 | San Francisco Bay Area 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 ### Recruiting @ Google Jan 2017 – Jan 2019 | San Francisco Bay Area 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. ## Education ### Bachelor of Science - Business Administration University of Southern California ### Rithm School ## Contact & Social - LinkedIn: https://linkedin.com/in/evanishibashi --- Source: https://flows.cv/evanishibashi JSON Resume: https://flows.cv/evanishibashi/resume.json Last updated: 2026-04-13