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Vetted C++ Professionals

Pre-screened and vetted.

MB

Matthew Bousfield

Screened ReferencesStrong rec.

Senior Unity/XR Engineer specializing in VR games, multiplayer, and serious simulations

London, UK8y exp
University of OxfordAbertay University

Unity VR senior developer with ~8 years in VR and ~3 years focused on Meta Quest, building multiplayer training/digital-twin style experiences. Strong Photon (PUN/Fusion) background, including solving tricky networked object attachment/jitter issues via ownership and local-physics strategies. Demonstrated hands-on performance turnarounds in VR scenes using Mesh Baker, LODs, and impostors, plus experience shipping social multiplayer VR activities with Photon Voice.

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RB

Ross Blackburn

Screened ReferencesStrong rec.

Mid-level Product Owner / Application Developer specializing in supply chain ERP and agentic AI platforms

Greenwood Village, CO4y exp
NextworldUCLA

Architect/product owner/lead developer who built high-scale ERP supply chain and inventory transaction capabilities (including order-to-order pegging) with strong performance tuning in Postgres and robust monitoring/reprocessing dashboards. Also led product for an enterprise agentic development platform using LLM integrations to generate user stories, data models, workflows, and RBAC-secured applications, with sandboxing and promotion guardrails plus UAT across technical and non-technical personas.

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SH

Sai Haritha Sardena

Screened ReferencesStrong rec.

Mid-level Full-Stack Software Engineer specializing in web, cloud, and AI/ML

Remote, USA7y exp
Tylmen TechNorthern Arizona University

Software engineer with experience at Wipro and Tylmen Tech owning customer-facing onboarding and real-time features end-to-end (React + Spring Boot) and building TypeScript/React apps backed by Node.js microservices (MongoDB, RabbitMQ). Strong in production reliability and fast iteration: feature-flagged rollouts, idempotent APIs/consumers, DLQs, and SLO-driven incident tooling, including an internal QA & release dashboard adopted by engineering and support teams.

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BH

Bryan Holland

Screened ReferencesStrong rec.

Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems

SF Bay Area, CA11y exp
MAGICSEVEN AIUniversity of Michigan

Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).

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NC

Nightvid Cole

Screened ReferencesStrong rec.

Senior Computer Vision & Sensor Algorithms Engineer specializing in imaging systems

Saratoga, CA7y exp
Early-Stage StartupUniversity of Maryland, College Park

Robotics/remote-sensing software engineer who built and validated multisensor image-processing and spectral chemical-detection pipelines (RX anomaly detection, ACE), including calibration protocols with a motorized shutter and rigorous data QC. Uses white-box NumPy simulators to debug SLAM/registration issues before translating logic to C++, and partnered with hardware teams to solve temperature-driven signal variation via combined software calibration and improved thermal management.

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VS

Vigneshwari Shankiri

Screened ReferencesStrong rec.

Senior Java Full-Stack Developer specializing in microservices and cloud platforms

5y exp
TD BankSt. Peter's Engineering College

Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.

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JJ

John Juszczak

Screened

Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines

Los Angeles, CA10y exp
Starpunch StudiosDePaul University

Gameplay programmer with hands-on Unreal Engine multiplayer shooter experience, notably overhauling aiming/ADS using Enhanced Input and curve-table-driven response curves plus subtle aim assist. Demonstrates strong networking judgment (client-side prediction vs server authority for anti-cheat) and a systems mindset, adding automation/analytics to speed iteration and improve decision-making.

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MS

Mid-level Full-Stack Developer specializing in Next.js, AI-driven apps, and payments

Calgary, AB4y exp
Dasens AIUniversity of Waterloo

Frontend engineer who has led complex React + TypeScript products end-to-end, including a real-time canvas-based digital signature editor and a multi-step AI workflow dashboard. Demonstrates strong architecture and performance instincts (state machines for streaming async updates, bundle/render optimizations) plus pragmatic shipping practices (feature flags, automated tests, analytics and user interviews), with a quantified impact from refactoring (~30% less duplicated UI code).

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MS

Senior Machine Learning Engineer specializing in MLOps and Generative AI

St. Louis, Missouri7y exp
Emerson
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MS

Senior Software Engineer specializing in robotics, ML, and full-stack web development

Hillsboro, OR12y exp
IntelPortland State University
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SS

Senior DevOps Engineer specializing in multi-cloud infrastructure and Kubernetes

7y exp
KrogerUniversity of Dayton
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RR

Mid-level Data Scientist specializing in financial ML, NLP, and MLOps

San Diego, CA5y exp
Morgan StanleySan Diego State University
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JF

Mid-level AI/ML Software Engineer specializing in Generative AI and NLP

Remote5y exp
EmerjenceBoston University
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SD

Srijan Dokania

Screened ReferencesModerate rec.

Junior Robotics & Machine Learning Engineer specializing in perception, SLAM, and edge AI

Boston, MA2y exp
Field Robotics Lab (Northeastern University)Northeastern University

Built and deployed an Azure-based, fine-tuned CLIP visual retrieval system at Staples for a ~300k-item product catalog, improving edge-case recall by 12% by engineering a custom delta-similarity/dynamic-margin loss. Also has robotics experience using ROS2 for sensor/compute orchestration, including GPS-time-synchronized sensor triggering for robot swarms and latency-bounded optical-flow benchmarking for edge deployment.

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AP

Ashwith Poojary

Screened ReferencesStrong rec.

Mid-level Software & AI Engineer specializing in Robotics, LLMs, and Reinforcement Learning

4y exp
Arizona State UniversityArizona State University

Robotics/AI Master's thesis researcher building an LLM-driven workflow to generate and evaluate robot policies before running them in an environment. Also built a local LLM-based real-time target-tracking robot using a pan-tilt camera with LangChain + Ollama, and has hands-on ROS 2/Gazebo experience including URDF-based simulation and a TurtleBot multi-agent chase project.

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RG

Rithindatta Gundu

Screened ReferencesStrong rec.

Mid-level AI/ML Engineer specializing in LLM systems and cloud MLOps

San Francisco, CA4y exp
Wells FargoSeattle University

Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.

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AM

Alexander Meyer

Screened ReferencesStrong rec.

Senior/Lead Game Developer specializing in Unity and cross-platform multiplayer games

Paphos, Cyprus28y exp
BlockgamesLübeck University of Applied Sciences

Veteran Unity game developer with extensive multiplayer networking experience (Photon PUN2/Quantum/Fusion, Unity Netcode), including work on Payday: Crime War and an in-development arena battler using Invector + PUN2. Also builds cloud backends for Unity titles (Azure/PlayFab/Firebase, SQL, CI/CD) and actively uses multiple AI assistants to speed up architecture and implementation.

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LV

Mid-level Software Engineer specializing in SRE, observability, and LLM-powered automation

Richardson, TX2y exp
CiscoWestcliff University
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JL

Joseph Lin

Screened ReferencesModerate rec.

Intern Software Engineer specializing in full-stack development and applied AI

New York, NY0y exp
Real Value CapitalNYU

Internship experience building an end-to-end medical AI pipeline that extracts and normalizes messy medical PDFs, fine-tunes BioBERT to classify tumor-related statements (including negation/ambiguity handling), and integrates image-model outputs (MedSAM/GroundingDINO) for tumor localization and classification. Also worked on an LLM/RAG system to draft IPO prospectuses using retrieved regulatory/financial sources (including SEC EDGAR) with structured prompts to reduce hallucinations.

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AH

Anthony Hernandez

Screened ReferencesStrong rec.

Mid-level Game Designer specializing in systems, balance, and live updates

Los Angeles, CA6y exp
GrabUSC

Game designer currently leading design on a Mario Party-like party game, owning mode design, economy, and meta-progression. Uses playtests and A/B tests to tune fairness-focused systems (e.g., dynamic power-ups accounting for player standing and turn order) and prototypes quickly in UE5 Blueprints. Previously shipped a mixed-reality version of Knockout League’s Knockout Alley mode for a Quest 3-aligned release.

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MP

Manasa Pantra

Screened ReferencesStrong rec.

Junior Software Engineer specializing in AI, LLM systems, and full-stack development

Stony Brook, NY2y exp
Stony Brook UniversityStony Brook University

Product-focused full-stack engineer at startup (Zippy) who shipped a production multi-agent AI system for restaurant operations plus payments workflows. Built end-to-end: RAG grounded on a Notion knowledge base, structured function-calling task routing, FastAPI/JWT multi-tenant backend, and a polished React+TypeScript owner dashboard. Has real production incident experience (duplicate Stripe webhooks) and reports ~94% task-routing accuracy under load.

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AA

Abnik Ahilasamy

Screened ReferencesModerate rec.

Intern LLM/GenAI Engineer specializing in RAG, agentic systems, and low-latency inference

Chennai, India0y exp
Larsen & ToubroArizona State University

Interned at Larsen & Toubro where they built and deployed an agentic RAG document question-answering system to reduce time spent searching documents and improve trustworthiness. Implemented ReAct-style multi-step orchestration with LangChain/LlamaIndex plus evidence-bounded generation, grounding/citations, and rigorous evaluation—cutting latency ~40%, hallucinations ~35%, and unsafe outputs ~40% while collaborating closely with non-technical business/ops stakeholders.

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ST

Mid-level Robotics & ML Engineer specializing in perception, control, and scalable systems

Mumbai, India3y exp
TCSNortheastern University

Robotics software engineer/researcher focused on perception, SLAM, and sensor fusion, with hands-on experience taking systems from simulation to embedded/real-time deployment. Led transparent-surface (glass) detection using GDNet and achieved a major real-time speedup (~7–9 FPS to ~30 FPS) while preserving >90% recall, and has built ROS-based EKF GPS-IMU fusion plus profiled/optimized Visual SLAM for performance and memory stability. Also brings production-style deployment skills via Docker/Kubernetes orchestration of ML inference services with autoscaling and model update rollouts.

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ZL

Zongguang Liu

Screened

Entry Robotics Engineer specializing in ROS 2 autonomy and simulation (Isaac Sim)

Las Vegas, NV1y exp
RichTech RoboticsMichigan Technological University

Robotics software engineer (PhD background) who owned an end-to-end autonomy stack for a 2025 GTC demo, integrating ROS2/MoveIt2 with a high-fidelity NVIDIA Isaac Sim environment for regression testing and sim-to-real validation. Has hands-on experience optimizing MoveIt2 planning (parallel pipelines + evaluation metrics) and building outdoor Nav2 localization using dual EKF with GNSS and LiDAR/IMU sensor fusion; currently building simulation environments at Richtech Robotics.

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