Vetted Linux Professionals

“AI/software engineer with hands-on experience deploying an LLM-powered quiz generation platform for students, integrating Python services with Gemini APIs plus frontend and database components. Emphasizes production-grade reliability through observability, schema validation, async processing, and performance tuning under high concurrency, and has collaborated with product/operators (e.g., at Colombo AI) to translate real-world constraints into scalable technical solutions.”

“Frontend engineer with experience across university and product companies (University of Montreal, Dopely, Takhfifan), owning React/TypeScript features end-to-end. Notably built a mathematically complex, multi-mode color wheel UI for designers and led quality practices at scale via conventions, RTL testing, and code reviews for junior developers, plus performance and reusability improvements in existing codebases.”

“Built a production-style AI meeting summarization and action-item extraction system (Azure Speech-to-Text + transformer summarization/NER) exposed via a Flask REST API, with explicit guardrails to prevent hallucinated tasks. Strong focus on reliability: modular agent/workflow design, precision-first evaluation with human-validated golden notes, and practical orchestration patterns (tool-augmented agents; ready to scale into Airflow/LangGraph/Prefect).”

“Open-source-focused TypeScript/JavaScript engineer who built a lightweight Node.js utility library to standardize LLM-agent message formatting, tool invocation, and safe schema-validated JSON outputs. Emphasizes composable abstractions, real-world performance profiling/benchmarks, and strong community feedback loops (GitHub issues, structured errors, logging hooks). Also did research at Syracuse University on converting natural language into structured JSON with validation layers.”

“Full-stack engineer with hands-on experience building end-to-end applications using Java/Spring Boot and React, including Dockerized deployment and RabbitMQ-based messaging. Worked on a high-volume payment processing system at Alacriti, focusing on performance (query optimization, caching) and reliability with monitoring via AWS CloudWatch.”

“Robotics software engineer with thesis work optimizing the Autoware perception pipeline via DDS/synchronization tuning for lower latency and better throughput, plus hands-on ROS1/ROS2 experience deploying perception (YOLOv8) and SLAM/localization on real vehicles and delivery robots. Has practical debugging depth (Kalman filter crashes, transformation/scan-matching issues) and CI/CD automation experience with Jenkins.”

“Robotics software engineer focused on UAV multi-agent collision avoidance, combining Behavior Trees with MPC and validating in a ROS-based simulator via PX4 hardware-in-the-loop. Has hands-on experience debugging real-time estimation/control issues (EKF noise/arming failures), building distributed ROS service architectures, and smoothing MPC trajectories to meet kinematic and FAA right-of-way constraints.”

“Robotics engineer leading development of a Physical Reservoir Computing controller for a pneumatic soft robotic arm, owning everything from automated data collection and leak-testing automation to hardware design/manufacturing and cross-lab integration with Virginia Tech. Built ROS 2/DDS-based multi-robot systems integrating OptiTrack, a lab quadruped, and a UR5e, and pairs simulation (Gazebo/MuJoCo) + PPO RL training with production-ready tooling (Docker, CI/CD, Flask dashboards, RAG chatbot portfolio).”

“Software engineering capstone contributor who helped kickstart an ambiguous, real-client project ("The Virtual Cowboy") by designing the initial relational database and CRUD foundation, then prioritized and shipped simulation/event functionality that satisfied the client. Also building a personal full-stack Book Notes web app (Node/Express/Postgres) with Google OAuth via Passport and a books API ingestion flow focused on data quality and reliability; has deployment experience with Heroku and PythonAnywhere and is ramping up on AWS.”

“Backend/full-stack engineer who owned a cloud-native, AWS-based microservices backend for an HRIS product used by ~10,000 users, including onboarding and workflow orchestration. Strong production focus on event-driven architecture, idempotency/retries, observability, and developer-friendly API design (OpenAPI, versioning, JWT), plus hands-on Selenium automation for resilient checkout-style flows.”

“Open-source JavaScript contributor who diagnosed and fixed a memory leak in an infiniteQueries module using Chrome DevTools, adding useEffect cleanup and weak references to cut memory usage by 32% and close 18+ GitHub issues. Also strengthens quality via unmount-focused tests and CI performance validation, and improves developer adoption by adding real-world infinite scrolling examples to React Query documentation.”

“VR multiplayer Unity developer who implemented high-impact interaction systems (notably a math-driven, physics-aware door system with audio occlusion and culling) and designed/built a fully custom cross-platform multiplayer stack from scratch using KCP, WebSockets, WebRTC, and MemoryPack—plus recording, NPC support, and backward-compatible client modes for an educational/learning platform.”

“Unity/VR developer who shipped a Meta Quest 2 immersive 360 training experience for Staffordshire Police as a solo programmer, including biometric gaze/reaction tracking and real-time data capture to an HTTP endpoint. Also building a Tomb Raider-like sci-fi adventure demo (Nexus 7) featuring FSM-driven character logic, motion-capture animation, custom controller optimization, and spline-following AI movement.”