Vetted C++ Professionals

“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.”

“Built a Meta-style AI smart glasses system emphasizing on-device privacy and low-latency processing, spanning ESP32-S3/FreeRTOS firmware through an NVIDIA Jetson Linux edge-AI pipeline in Python/Docker. Strong in real-time streaming optimization (zero-copy GDMA, deterministic scheduling), encrypted transmission (AES-256), and reliability via stress testing and robust error handling; currently building CI/CD automation tests using Playwright and computer vision.”

“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.”

“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.”

“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.”

“Unity VR developer who has shipped Meta Quest titles both independently (handling art, engineering, marketing, and self-publishing) and on teams focused on architecture and code. Recently worked on a multi-user VR experience using haptic gloves and holopotation, solving Photon multiplayer bandwidth issues by compressing high-volume data and implementing custom sync strategies. Also experiments with integrating LLMs into Unity for NPC interaction and uses AI tools pragmatically for straightforward tasks.”

“Built and owned a customer-facing Document Intelligence Service for legal contract analytics at Noasis Digital, delivering extraction/summarization with careful accuracy controls (confidence thresholds, versioned deployments, production logging). Also developed a React/TypeScript document review app and internal QA dashboard, and has hands-on microservices experience with async messaging (RabbitMQ), timeout tuning, and centralized structured logging for reliability at scale.”

“Frontend engineer in fintech who led a client onboarding platform end-to-end, building a scalable React/TypeScript architecture with Redux-driven multi-step verification workflows. Strong focus on quality at scale through UI automation/E2E testing and CI/CD (GitHub Actions + Docker), enabling faster releases (bi-weekly to daily) while staying stable despite evolving backend APIs.”

“Product-minded full-stack engineer with hospitality tech experience who owned and scaled a multi-region guest verification/check-in workflow (ID/passport scanning, OCR, and government submissions) and built internal tools that cut manual entry up to 80%. Also built a React/TypeScript + FastAPI RAG “second brain” with async ingestion workers and an event-driven e-folio email microservice hardened with idempotency and retries.”

“Frontend engineer/team lead currently overseeing a 5-person team building an AI trading mobile application, using modular architecture and Jest-based testing to maintain quality as features scale. Also develops a trading/research platform in Next.js/React/TypeScript with Tailwind and Redux, including complex broker registration workflows and experience separating on-device AI components from core business logic.”

“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.”

“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.”

“Co-op engineer who owned and shipped a Python/Flask backend for automating architecture reviews and system metadata processing, including ingestion from multiple internal APIs, RBAC, testing, and deployment. Has hands-on Kubernetes + GitOps (ArgoCD) experience, built Kafka-based real-time ingestion, and supported a cloud-to-on-prem migration with phased cutover, smoke tests, and performance tuning.”

“Built and owned Python backend APIs for real-time educational dashboards at ASU’s Machine Learning lab, improving responsiveness by cutting latency ~35% through caching, batching, and profiling-driven optimizations. Has hands-on experience containerizing Node.js/Python services and running GitOps-style CI/CD with GitHub Actions, plus supporting smaller infrastructure transitions with reproducible, portable configs.”

“PhD in computer engineering who has built production-oriented ML/NLP systems for space-weather prediction using Spark-based ETL on noisy satellite sensor logs. Strong in entity resolution and semantic search—fine-tuned E5 embeddings with contrastive learning and deployed to Pinecone, improving top-5 retrieval precision by 25%—and emphasizes scalable, observable pipelines with Airflow, Docker, and CI/CD.”

“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).”

“UE5 Blueprint/UMG developer who built a player-facing interactive “build your own home” experience with real vendor inventory and pricing, including a rule-driven configuration system and multiple polished camera/view modes. Took it from a local kiosk-style app to a scalable online product by streaming Unreal via Pixel Streaming/WebRTC on Azure VMs with a React frontend, plus analytics (GA) and CRM integration (HubSpot).”

“Game developer from a student-led team that shipped a Steam vertical slice (Skyguard), a 3rd-person co-op wave defense shooter. Built core gameplay systems (weapons, movement, wave progression), a UE5 Blueprint/C++ microgame framework, and a gameplay-tag-driven cue system to speed VFX/audio iteration; actively tuned balance using structured playtest feedback and fixed multiple high-impact gameplay bugs.”

“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.”

“Product-focused full-stack engineer with strong performance and reliability instincts: improved production page responsiveness by 15% via lazy loading and render optimization, and built a polished React+TypeScript filtering dashboard with URL-synced state for shareable views. Also designed and operated a Django REST backend with versioning, token auth, structured logging, and API tests, and has handled real production scaling issues through PostgreSQL query-plan analysis and indexing.”