Vetted C++ Professionals

“Systems-focused C++ engineer who built a 32-bit CPU simulator end-to-end (custom ISA, full memory model, fetch-decode-execute loop) and solved tricky recursion/stack-frame correctness issues through heavy instrumentation and tracing. Has strong Linux and user-kernel boundary experience (procfs) plus modern build/test tooling (Docker, CI/CD, pytest), and is confident ramping quickly into ROS/ROS2 despite not having used it directly.”

“Unity/VR gameplay engineer who built a hybrid physics-based interaction system for a VR cooking game (Mars Kitchen), focusing on responsive, immersion-preserving object handling. Also worked on two web3 multiplayer games (Acryptia 2D card game, Polyverse 3D horde shooter) using server-authoritative architecture with client-side prediction and server reconciliation, and leverages AI tools to optimize shaders (notably liquids).”

“Unity/VR gameplay programmer who delivered core VR locomotion and a custom collision system for the VR port of Tinhearts, enabling comfortable movement in highly detailed, cluttered environments and improving cutscene reliability. Also has professional VR multiplayer experience on Project Leeroy using Photon Fusion (plus PUN/SpatialOS/UNet/WebSockets), including building drag-and-drop networking components to help designers ship minigames faster.”

“Robotics engineer who built a real, mostly self-assembled autonomous robot (WRAITH) as a final-year project, implementing ROS2-based 2D SLAM (Cartographer/SLAM Toolbox) and Nav2 on a Raspberry Pi 5 under tight CPU/RAM and OS compatibility constraints. Also delivered a full Flutter mobile control app backed by a Flask REST API (manual control, live camera streaming, mapping/navigation) and introduced an image-based verification method to improve localization.”

“Embedded robotics/industrial automation engineer focused on Cortex-M + FreeRTOS modules for robotic assembly lines, owning low-level drivers (SPI/UART/I2C), deterministic timing, and high-reliability comms. Strong in hardware/software integration (board bring-up, timing debug with scope/logic analyzer/JTAG) and production-grade firmware delivery via Jenkins CI and Docker; has supported ROS systems via rosserial and C++ nodes to publish clean sensor data.”

“Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.”

“Machine learning lab assistant at Eastern Illinois University who productionized a voice-enabled conversational AI system: redesigned it with RAG, LoRA fine-tuning (including text-to-SQL), and safety guardrails, then deployed a scalable API supporting ~1,000 daily queries. Also partnered with customer-facing teams during a BlueFi internship by building demos/APIs and accelerating releases via Terraform + AWS CI/CD automation.”

“Backend/integration-focused software engineer who built and debugged a complex location modeling system (data pipelines, APIs, optimization logic connected to a dashboard). No direct ROS/robotics experience yet, but demonstrates strong distributed-systems debugging, containerized deployment (Docker), and CI/CD/testing practices and is actively looking to pivot into robotics software.”

“Software engineer with demonstrated production performance wins (37% latency reduction) through SQL optimization, backend API redesign, and disciplined rollout practices (staging, feature flags). Experienced debugging distributed pipeline issues across infrastructure layers (memory pressure and network timeouts) and building AWS-based systems (Lambda + RDS) to handle request spikes, including work on a business-focused chatbot.”

“Backend-focused developer who built a Python 4v4 matchmaking system using win/loss history plus an Elo rating model, validating and tuning it against a dataset of ~50 real games. Previously worked at Advanced Logistics Management building time-sensitive agriculture-site modules in a small dev team, coordinating work via Jira/Git and drafting documentation for a potential migration from XAMPP/CodeIgniter/Bluehost to Azure.”

“ML/NLP engineer who has built production systems end-to-end: a real-time recommendation platform (100k+ profiles) using BERTopic-style clustering and a RAG-based news summarization/recommendation stack with ChromaDB. Strong focus on scaling and reliability (GPU batching, Redis caching, Kafka ingestion, Docker/Kubernetes, Prometheus/Grafana) and on maintaining model quality over time via drift monitoring and retraining triggers.”

“AI/LLM engineer who has shipped production RAG and agentic systems end-to-end (LangChain/FAISS, OpenAI+Gemini, FastAPI, Docker, Streamlit), focusing on retrieval quality and low-latency performance. Also partnered with a non-technical PM at deepNow to deliver a forecasting + summarization pipeline for daily market insights with iterative prototyping and a simple UI.”

“Application-focused engineer who has shipped end-to-end products across mobile and web, including a music-based dating app feature for sending searchable/previewable songs in chat and a geospatial events service integrating external APIs. Demonstrates strong product + engineering instincts: performance-minded PostgreSQL modeling, Dockerized deployments with env-based config, and UX/accessibility polish backed by user studies, plus hands-on incident mitigation using Vercel logs.”

“UE5 gameplay scripter focused on shipping-quality, player-facing systems in Blueprints—recently built a pickup-and-throw mechanic end-to-end with animation/physics integration, robust edge-case handling, and QA/debug tooling. Emphasizes modular, data-driven architecture for designer-friendly tuning, and uses Unreal/Blueprint profiling plus event-driven patterns to keep systems performant and scalable.”

“Robotics software engineer who built an assistive Kinova Gen3 manipulation system for activities of daily living, spanning RealSense+ArUco perception, MoveIt2-based motion planning/task sequencing, and a React Native tablet UI with rosbridge and voice control. Optimized real-robot trajectories by blending OMPL with Cartesian/PILZ planning and created simulation workflows to test without lab/robot availability.”

“Robotics software contributor from Binghamton University’s drone research lab who built a Dockerized, multithreaded Python control stack integrating Crazyflie firmware for low-latency, real-time coordination of multiple drones. Hands-on with telemetry/command pipelines, profiling and control-loop optimization, and wireless comms using CrazyRadio PA.”

“Robotics software engineer with ROS 2 Humble/Nav2 experience on a warehouse robot fleet, focused on improving throughput in dynamic human environments. Implemented C++ local-planner and velocity-control changes using LiDAR-based motion prediction and real-time costmap tuning under a 20ms control loop, and built a Gazebo digital twin with custom failure-injection plugins plus Docker/Kubernetes deployment tooling.”

“Web3 creator-led growth and community builder who frames crypto as infrastructure and designs content to drive measurable on-chain behavior. Uses X-native distribution (threads, replies, quote-tweets) paired with interactive CTAs and on-chain dashboards to convert attention into trust and product usage, with a structured 90-day plan for launching and scaling protocol communities.”

“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”

“Unity developer with hands-on gameplay and systems experience, including a custom solution that made 3D characters feel properly grounded in a 2D isometric, grid-based combat game. Has worked with Photon/Unity Networking and solved mobile multiplayer customization challenges by syncing character looks via ID-based assets and runtime download/construction; also uses ChatGPT for placeholder art and targeted coding research.”

“Software engineering intern who built and deployed a full-stack telemedicine platform (React/Node/MongoDB) used daily in a pediatric clinic, incorporating PyTorch-based predictive features. Demonstrated strong customer-facing iteration and production performance debugging—resolved a live slowdown by indexing/optimizing MongoDB queries and adding caching, improving response times by ~50%.”

“Game designer specializing in multiplayer mode and systems design across casual party and vehicular hero-shooter projects (Oink Splash Party, Rivals Hover League), with hands-on UE5 Blueprint prototyping for a Souls-like combat loop (Medieval Silence). Known for playtest-driven iteration that fixes degenerate strategies and improves pacing/teamplay (e.g., core-meltdown, kill-confirmed/resurrection events, radar/minimap disruption), plus designing non-predatory progression systems blending battle pass, contracts, and level-up rewards.”

“Full-stack engineer at Srasys Inc. who built and owned production payments/checkout for an e-learning platform serving 5,000+ users using Next.js App Router + TypeScript. Deep focus on correctness and reliability (Stripe webhooks, signature validation, DB-level idempotency) plus measurable performance wins (~40% latency reductions) through Postgres indexing/EXPLAIN ANALYZE and Redis-backed caching with CloudWatch monitoring.”