# Victor Popoola > Software Engineer Profile: https://flows.cv/victor Software Engineer with experience at Meta Reality Labs and autonomous vehicle startups. Skilled in React, TypeScript, Python, and ML/Data Engineering. ## Work Experience ### Software Engineer @ Meta Reality Labs Jan 2023 – Jan 2025 | Burlingame, CA / New York, NY • Eliminated 60+ hours of weekly manual work by creating ctrl-kit, an internal EMG model prototyping tool adopted by 15+ researchers and growing (React, Python) • Reduced manual experiment configuration time by 80% by developing a multi-source data collection framework handling 6 distinct data sources (React, Lab.js, TypeScript) • Scaled data pipelines to process 10+ million records, optimizing infrastructure that directly improved ML model capabilities for EMG research (Python, React, C++) • Accelerated model iteration cycles by 40% through building a visualization frontend enabling researchers to quickly identify bias and performance issues (TypeScript, D3, React) • Reduced decision-making latency by 50% by designing scalable software solutions for exponentially growing data requirements across cross-disciplinary teams (Python, TypeScript, C++) ### Software Engineer – Autonomous Vehicle Backend @ Pronto.ai Jan 2022 – Jan 2023 | San Francisco, CA • Built FMS fleet management application serving 500+ autonomous vehicles with React web interface for cloud and on-premise device management (FastAPI, React) • Contributed to Python ML codebase powering autonomous truck navigation, real-time messaging, routing, and safety systems (Pytorch, Python, OpenCV) • Developed hardware abstraction layer creating software drivers and vendor-agnostic packages with backward compatibility for existing products (Linux, Python) • Improved system performance and security across messaging, logging, databases, software versioning, and networking stack (Python, AWS, Ansible, Linux) ### Software Engineer @ Watzan LLC Jan 2020 – Jan 2022 | Halifax, Nova Scotia • Launched cross-platform mobile app for social audio platform ililli.co using Flutter framework (iOS, Android, Web) • Containerized legacy applications using Docker and Terraform for cloud-ready deployment • Implemented CI/CD pipeline using Fastlane for automated testing and deployment • Created comprehensive documentation for developer and end-user perspectives • Established testing framework with unit and integration tests for Ruby, Dart (Flutter), and workflow scripts ## Education ### Bachelor of Computer Science with Honors Dalhousie University Jan 2016 – Jan 2020 | Halifax, NS ## Projects ### Cortex A Rust-based AI inference and memory system built with Candle. Provides local LLM inference with persistent memory and state management. Technologies: Rust, Candle, LLM, Machine Learning, Vector Search, GGUF, CLI, Embeddings, Semantic Memory Link: https://github.com/VictorXLR/cortex ### Turbo-Term Generate images from text prompts directly in your terminal. Uses the Z-Image-Turbo model with a terminal-native workflow: generate, view inline, vary, save. Works in Ghostty and other terminals supporting the Kitty graphics protocol. Technologies: Python, PyTorch, Diffusers, Apple Silicon, CUDA, Gradio, Image Generation, CLI Tools Link: https://github.com/VictorXLR/turbo-term ### FastVLM WebGPU Real-time video captioning powered by Vision Language Models, running entirely in your browser with WebGPU acceleration. A privacy-focused web application that brings AI-powered video captioning directly to your browser. Technologies: React, TypeScript, WebGPU, Vite, Tailwind CSS, ONNX Runtime, Hugging Face Link: https://github.com/VictorXLR/fastvlm-video ## Contact & Social - GitHub: https://github.com/VictorXLR - LinkedIn: https://www.linkedin.com/in/victor-popoola/ - Email: mailto:victorxlr007@gmail.com --- Source: https://flows.cv/victor JSON Resume: https://flows.cv/victor/resume.json Last updated: 2026-01-13