Vetted Education Professionals

“Unity/Meta Quest VR developer who has shipped three VR projects for different organizations, including an arachnophobia treatment experience for a university psychology department, a warehouse VR training project, and a children’s mental health-focused VR game. Also building a long-running personal project: a cooperative online multiplayer Metroidvania developed over ~3 years, with significant learning and refactoring around networking.”

“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”

“Former AAA travel and prep hockey player (Baystate Breakers, South Shore Kings) with connections across junior and college levels. Evaluates players through film review and coach feedback, runs weekly goal-setting calls, and has experience mentoring players through next-step placement (e.g., helping an age-out find a fitting junior program). Comfortable creating social content highlighting player advancement and commitments.”

“Backend engineer with hands-on experience building distributed data and API platforms (Kafka + Neo4j on Kubernetes), including processing 3M+ NYC taxi trip records and achieving sub-second graph analytics queries. Strong focus on reliability and performance in Python/FastAPI systems—async refactors, caching, timeouts/retries, feature-flagged rollouts, and JWT/RBAC security for production services.”

“Data scientist/researcher who has built two multimodal LLM systems: an AI-assisted medical triage pipeline using GPT-4o vision + RAG with confidence-scored red/yellow/green outputs, and a master’s project on multimodal cyberthreat detection combining multiple models and using TinyLlama to generate human-readable risk reports. Also partnered with business analysts at Sanvar Technologies to deliver a churn prediction pipeline and Tableau dashboard for decision-making.”

“Recent research master’s graduate who built a Python backend for an interconnected RabbitMQ/MQTT system, including automation, benchmarking, and network-link optimization between brokers. Has hands-on edge computing experience (lightweight Kubernetes on a ~40 Raspberry Pi IoT cluster) and made architecture decisions for real-time streaming by evaluating Kafka and ultimately choosing Apache Storm.”

“Fintech-focused mobile engineer who built and shipped a mobile wallet to both iOS and Android app stores, implementing biometric login and AI-driven KYC (face + ID verification). Demonstrates strong customer feedback loops and production problem-solving, including resolving iOS version-specific third-party AI integration issues and improving payment UX by moving from synchronous to asynchronous processing.”

“Game designer with hands-on UE5 Blueprint prototyping and multiple shipped student projects, including a physics-based co-op heist party game released on Itch.io. Designed and tuned core systems (loot economy, capture/punishment fairness, level flow) through playtesting, and built an original arithmetic-driven grid combat system that players praised for smooth flow and educational integration.”

“Built and operated large-scale biodiversity/ecological research platforms, integrating 50+ heterogeneous global datasets into a unified BIEN 3 schema on PostgreSQL/PostGIS and improving data consistency by 35%. Strong production engineering background (Linux monitoring, CI/CD performance gates, Docker on AWS/Azure) plus applied AI work building a Python RAG system (0.90 precision) and halving latency with Elasticsearch.”

“Robotics software engineer with hands-on SLAM, ROS2, and distributed multi-robot systems experience. Improved MAST3R-SLAM loop-closure place recognition by changing the ASMK/ASMKS retrieval similarity metric (L2→L1) and validated on 9 TUM sequences, keeping near real-time performance despite a 25–30% retrieval cost increase. Also tuned MoveIt motion planning for a 6-DOF arm (12% higher maze completion rate) and built MQTT mesh communications for ESP32-based AMRs, using Gazebo+Docker and CI-style automation for reproducible testing and deployment.”

“New grad who shipped an LLM-powered writing app (“Write-it”) to production on Azure with CI/CD (GitHub Actions + JFrog) and implemented an unconventional RAG pipeline to prevent repetitive prompts using embeddings and cosine similarity. Also participated in a Luma AI image/video generation hackathon, iterating with artist feedback and improving usability by rewriting non-technical prompts via an LLM.”

“LLM/AI agent engineer with consulting/contract experience (Kanhaiya Consulting LLC) who deployed a production AI agent to automate BIM list workflows end-to-end—from database understanding and data cleaning to automated visualizations/dashboards. Worked around restricted real-time data access by generating synthetic data and improving outputs via supervised fine-tuning, and uses AWS-based LLMOps observability (Opic/OPEC) plus hybrid retrieval (vector+BM25 with reranking) to optimize relevance, latency, and cost.”

“AI Researcher with production experience building a real-time computer-vision detection pipeline augmented by an LLM-based verification layer to cut false positives (~78%) and reach ~90% real-world accuracy. Also partners cross-functionally with Product/Sales/Marketing to shape AI feature prioritization and market positioning using analysis and interactive dashboards.”

“Detroit-raised AAU/travel-ball alum who later coached youth (including girls) and helped run showcases, clinics, summer leagues, and tournaments—combining on-court talent evaluation with event logistics and family/player guidance. Also produces recruiting-style basketball media (highlights/spotlights/recaps) and has created onboarding/training videos for startups supporting distributed teams.”

“Full-stack engineer who shipped and owned a production Document Chat feature built with Next.js App Router/TypeScript and a Node/Express RAG backend, including JWT-secured route handlers and streaming responses. Demonstrated strong post-launch ownership by improving latency (~30%) via MongoDB indexing/query optimization and reducing AI costs through caching, backed by profiling with React Profiler and Chrome DevTools.”

“Robotics software engineer who built a ROS 2 Humble autonomous hospital-equipment detection/localization robot end-to-end in Gazebo (custom worlds/models, Nav2 waypoint navigation, YOLOv8n perception, TF2-based depth fusion) and solved real-time integration issues via multithreading and QoS tuning. Also implemented and tuned an MPPI controller to enable smooth reverse parking on an OpenPodCarV2 platform, including real-world reverse engineering and hardware/software debugging.”

“Master’s thesis (Industrial Automation) building a real Automated Guided Vehicle entirely solo using ROS 2 Jazzy and Isaac ROS—implemented everything from a C++ ROS2 Control hardware plugin (UART to ESP32 for encoders/PWM) through EKF fusion, SLAM Toolbox, and Nav2 (NavFn + DWB) with lidar obstacle detection. Now porting the stack to Jetson Orin + Isaac ROS to add RealSense-based 3D perception, NVIDIA VSLAM, and Nvblox, and has also built a full AGV simulation in Gazebo Classic.”

“Master’s thesis engineer who built and deployed a continuous real-time perception + state estimation + control loop under tight latency constraints, owning both software architecture and hardware integration. Strong ROS 2 fundamentals with a systems-first approach—stabilizes robotic behavior by instrumenting, logging/replaying real data, and fixing timing/synchronization issues rather than treating failures as purely algorithmic.”

“Built and deployed a production-grade LLM agent for credit management and accounts receivable automation, integrating ERP/MySQL data via a RAG pipeline and exposing services through FastAPI with Pydantic-validated outputs on AWS Bedrock. Emphasizes reliability and compliance for financial operations using schema validation and human-in-the-loop review, reporting ~32% reduction in manual work and ~41% improvement in response time/reliability.”

“Robotics engineer focused on simulation, modeling, and control, with hands-on sim-to-real experience from a soft, foldable “grasshopper” robot where friction/contact physics and servo dynamics drove real-world performance gaps. Built a ROS 2 voice-operated TurtleBot system integrating YOLOv5 + stereo depth for object picking with an attached arm, and debugged AMCL/SLAM to cut localization error from 10–13 cm to ~5 cm. Currently developing a quadruped in MuJoCo with a 3-layer control stack (RL + MPC + PD) and an RL training pipeline in JAX ahead of hardware.”

“NCAA hockey player with rare end-to-end experience across U.S. prep, Canadian juniors (AJHL), U.S. juniors (NAHL), and college recruiting—personally navigated being decommitted and traded, giving him strong empathy and realism about the process. Proven leader (multi-year captain; first captain in NAHL program history) who mentors younger athletes and creates educational recruiting/development content for hockey families.”

“Product-minded frontend engineer/PM hybrid who led an LMS end-to-end using Next.js, including JWT auth and security validation with OWASP ZAP. Built AI features such as an LMS AI Tutor and a personal React+TypeScript movie recommender that lets users choose between Gemini and OpenAI models, with Redux Toolkit used for global state and smooth UX iteration in short sprints.”

“Unity gameplay programmer with hands-on experience building a co-op multiplayer title ("Maker Lab," Overcooked-like) using Photon, including production usage. Strong focus on player feel—reworked mobile movement with physics-based smoothing and iterated via internal and beta testing feedback. Also built VR features in Meta Horizon Worlds, using AI-assisted prototyping and translating Unity C# logic into TypeScript.”