Vetted Artificial Intelligence Professionals

Subhash Chandra

Screened

Senior AI/ML & Robotics Research Engineer specializing in SLAM and multi-modal perception

Norman, OK8y exp

“Robotics engineer who built a smart campus tour robot on a Kobuki Turtlebot using ROS 1, implementing a full navigation stack (semantic world model, A* planner, tour executor, path follower) and integrating SLAM (gmapping) plus a hybrid reactive safety controller. Experienced taking systems from Gazebo simulation to real hardware, including extensive real-world debugging and Docker-based development to handle ROS/Ubuntu version constraints; planning a move to ROS 2 on Turtlebot 4.”

“Built practical automation systems spanning an NLP-based news classification pipeline and a WhatsApp interaction agent. Shows strong instincts around production reliability—using structured outputs, schema validation, idempotency, retries, and clarification flows to prevent bad actions in real-world messaging workflows.”

Ajibade Quwiyu

Screened

Mid-level XR Developer specializing in VR/AR and Unity game development

Lagos, Nigeria7y exp

“Unity VR/AR developer with industrial training simulation experience (heavy machinery, electrical panel, arc welding) who improved user completion and retention by shipping a context-aware AI instructor. Uses Unity Analytics and in-game feedback to pinpoint drop-offs and drive measurable gains (e.g., 30%→75% completion; 60% drop-off fixed to reach 85%). Has also built multiplayer collaborative training prototypes with Photon PUN2 and strong Git/Unity workflow practices to reduce scene conflicts and technical debt.”

SaiSindhu Beeravolu

Screened

Mid AI/ML Engineer specializing in LLMs, RAG, and healthcare AI

Illinois, USA4y exp

“Healthcare ML/AI engineer with production experience at UnitedHealth Group, including an end-to-end readmission prediction system built on 50M+ patient records that improved accuracy by 18% and reduced preventable readmissions by 12%. Also shipped a clinically grounded LLM/RAG referral generator with human-in-the-loop safety controls, showing strong depth in regulated, high-stakes AI systems.”

Seymour Douglas

Screened

Executive Data & AI Leader specializing in cloud-native platforms and data-intensive systems

18y exp

“Data/ML and product leader with large-scale consumer and enterprise experience (including Walmart) who blends hands-on prototyping with executive stakeholder alignment. Has delivered measurable outcomes across personalization, semantic search/knowledge graphs, and fraud/security architecture, and has scaled organizations rapidly (30→180 in 12 months) by upskilling and building modern data/ML engineering capabilities.”

Jason Gagne

Screened

Executive full-stack engineer specializing in AI, EdTech, and zero-to-one platforms

Remote, USA10y exp

“EdTech-focused startup builder and technical leader who built writing.io from zero to one and scaled it to 200k learners, later creating MindyRoad, an AI-heavy homeschool platform originally for his own family. Former Chief Architect at ParentSquare, bringing a rare mix of hands-on product execution, architecture leadership, and deep enthusiasm for transforming legacy industries.”

“Entrepreneurial product builder who created chaintrigger.com in response to early Web3 demand for real-time on-chain event reactions, offering an alternative to The Graph Protocol and achieving adoption among games and other Web3 projects. Currently developing new tools, dogfooding internally, and building distribution via personal network and a niche Twitter/X following to gather feedback and iterate quickly.”

“Product-focused candidate with live B2C/product-led growth experience who translates free-to-play game mechanics (onboarding as a core loop, progressive unlocking, nudges, variable rewards) into real-world web/mobile products. Strong in live experimentation, KPI-driven iteration, and monetization/retention measurement (DAU/MAU, funnels, LTV-focused A/B testing).”

Lloyd Mangnall

Screened

Executive Technology Leader specializing in digital transformation and AI/ML platforms

30y exp

“Founder building AdaptiveWorX™ Flow, a graph-native, agent-first operating system intended to replace document-driven/Agile-era workflows with continuously verifiable, causally linked delivery. Brings decades of systems/architecture perspective plus prior digital health experience, including a PoC turning behavioral therapy sessions into structured longitudinal data using real-time A/V capture and multimodal AI, with an emphasis on compliance, traceability, and scalable platform design.”