Vetted Artificial Intelligence Professionals

“AI/LLM practitioner at iFrog Marketing Solutions who drove a RAG chatbot from prototype to production in a legacy, AI-resistant environment by validating customer needs and building a business case. Implemented production-grade LLM practices (CI/CD eval gating, rollbacks, prompt/context engineering) and led internal workshops to bring non-AI-native developers up to speed while partnering with sales on tailored demos to drive adoption.”

“Software engineer with BitSight experience owning and revitalizing a critical internal Entity Management Portal (Django/React), clearing 30+ backlog items and boosting internal workflow efficiency ~40% through performance re-architecture (Redis caching) and disciplined testing. Also built a collaborative chore management platform (React/FastAPI) emphasizing responsiveness (optimistic UI) and scalability (connection pooling, Docker), and improved microservices security by centralizing secrets management with AWS Secrets Manager across multi-cloud environments.”

“Built and deployed a production real-time voice AI support agent that answers inbound calls, identifies callers, troubleshoots via a knowledge base, and automatically creates/updates tickets with escalation to humans when needed. Demonstrates strong reliability/latency engineering (streaming, schema validation, idempotency, DB constraints) and uses LangGraph state machines plus OpenAI Agents SDK for multi-agent routing, with KPI-driven testing and monitoring.”

“UE5 gameplay/system designer with an engineering background who has shipped player-facing systems including an enemy weak-point feature (with replication and performance fixes) and a modular spectator minigame framework for Killer Klowns from Outer Space: The Game. Also implemented lobby mode and disconnect team-balancing (AI backfill) for Ghostbusters: Spirits Unleashed, leveraging profiling/debug tooling and cross-discipline collaboration to get features to shipping quality.”

“Built and scaled an AI-powered voice/chat patient engagement platform at Penn Medicine from early prototype into production clinical workflows, focusing on latency, edge cases, and user trust. Strong in LLM reliability engineering (structured prompts, validation/fallbacks), real-time troubleshooting with observability, and cross-functional enablement through pilots, demos, and sales/customer partnership.”

“Software engineer with experience spanning high-scale backend systems and distributed consensus: led a 6-person team delivering a production data querying/visualization platform with major latency improvements via cursor-based pagination and streamed results. Built a RAFT-based distributed logging tool resilient to partitions and storage constraints, and at Nasuni developed FastAPI services processing multi-terabyte workloads for 500+ enterprise customers with secure API key management.”

“Customer-facing SaaS professional in GPS fleet/ELD (FMCSA-regulated) environments who advises customers on security/compliance tradeoffs and operational risk controls. Drove product improvements around authorization and audit trails for manual log edits, and managed a 3G-to-4G fleet device migration protecting ~$45K ARR using Gainsight and Salesforce. Targeting a Customer Success Management role at ~$160K base.”

“Robotics software engineer with hands-on ROS 2 experience building real-time perception/control infrastructure and multi-sensor fusion (radar/ultrasonic + GNSS/IMU) with deterministic latency and safety fallbacks. Debugged rover navigation drift via rosbag replay and timing analysis, improving state estimation by gating GNSS and switching to SLAM when GPS degraded. Also brings strong distributed-systems and build/CI tooling experience (gRPC/Protobuf, Docker, Bazel cross-compilation for ARM/RISC-V, GitHub Actions).”

“Unity generalist who has shipped a solo VR tangram game for Meta Quest, handling everything from asset art to mechanics and multi-level logic. Built an original 2D top-down pixel-art game (“Mental Twist”) combining campus exploration with puzzle-based courses and a time/HP/XP-driven progression and grading system; prefers structured production environments and is currently seeking a 9-to-5 schedule.”

“Research-focused AI/ML candidate who built an fMRI-based classifier to predict schizophrenia treatment effectiveness under small-dataset constraints. Demonstrated pragmatic model selection by moving from a complex GNN to graph-summary feature engineering with logistic regression, significantly improving accuracy and AUC; primarily works in Google Colab with script-based workflows.”

“Graduate student researcher on the EARTH project (college collaboration with Moog) working on robotics for an arm/bucket system. Implemented waypoint-based path planning, built an Apriltag data pipeline, and developed ROS 2 tooling including a joystick-to-DeltaCAN teleop node; exploring reinforcement learning policies trained from Tera simulator + ROS 2 bag data to optimize trajectory planning under varying pressure/load conditions.”

“Intern who built and deployed a production LLM-powered contract analysis system for finance teams: Azure Document Intelligence for text/table extraction plus Gemini prompting to surface key terms and risks via an async API and simple UI. Emphasizes reliability in production with fallbacks, guardrails against hallucinations, and operational concerns like latency/cost/versioning, delivering summaries in under 30 seconds instead of hours.”

“Built a production multimodal LLM-based vendor risk assessment platform that ingests SOC reports and other documents, uses a strict RAG pipeline with grounded evidence (page/paragraph citations), and dramatically reduces analyst review time. Experienced with LangGraph/LangChain/AutoGen for stateful, fault-tolerant agent workflows, and emphasizes reliability (schema validation, guardrails) plus low-latency delivery (~1–2s) through hybrid retrieval, reranking, caching, and model tiering.”

“Operations-focused advisor/operator who helps early-stage and scaling companies create alignment and execution rigor through OKRs, integrated tool stacks (Asana/Slack/HubSpot/Salesforce), and KPI/BI dashboards. Notably improved a mid-sized e-commerce company’s order fulfillment efficiency by 30% by automating data flow between sales and logistics via an integrated inventory management system, and mentors non-ops founders using a 'Translate–Simplify–Empower' model.”

“Cloud/Kubernetes-focused engineer with production ownership in multi-account AWS environments (GE) and EKS-based platforms (Lumeus.ai). Strong in incident response and reliability—diagnosed IAM-driven serverless failures (SQS/Lambda) and Kubernetes deployment issues (CrashLoopBackOff, memory pressure) with rollbacks, policy fixes, and improved monitoring. Built secure Jenkins CI/CD and delivered infrastructure via CloudFormation and Terraform for serverless and EKS stacks.”

“AppSec-focused customer-facing practitioner with Worldpay experience advising clients on fraud reduction via stronger transaction validation and monitoring, translating technical controls into quantified business risk to secure buy-in. Has quickly learned and supported SonarQube in production by integrating it into CI/CD and guiding remediation, and has implemented security integrations in Kubernetes with secrets management and observability while resolving RBAC/network policy issues.”

“Full-stack engineer with financial services experience (Lincoln Financial) who owned a customer-facing financial portal end-to-end using TypeScript/React and Node/Express. Has hands-on microservices and RabbitMQ event-driven workflows, addressing scale issues like retries/duplicates with idempotency and traceable logging, and built an internal real-time ops/support dashboard to improve monitoring and incident response.”

“Backend/ML engineer who built an end-to-end greenwashing detection system for corporate ESG reports: Python preprocessing pipeline, logistic regression + fine-tuned DistilBERT models, and a Dockerized FastAPI inference service optimized for latency. Internship experience maintaining GitLab CI/CD for TypeScript services (Jest/Playwright), improving pipeline stability and test determinism; familiar with Kubernetes/GitOps concepts and AWS CLI/SSO.”

“Full-stack JavaScript engineer (React/Node/Vue) who has operated like a maintainer by owning an internal component library with Storybook-style examples, documentation, and non-breaking versioning. Demonstrated strong performance engineering on a source code review service—profiling bottlenecks, fixing N+1 queries, adding caching, and trimming payloads to cut latency (e.g., ~100ms to <50ms) while rolling out incremental, test-backed improvements.”

“ML/AI engineer with defense and commercial analytics experience: deployed a real-time aerial object detection system at Dynetics (YOLOv5 + TorchServe in Docker on AWS EC2) with drift-triggered retraining and 99.5% uptime, tackling ambiguous targets and weather degradation. Previously at Fractal Analytics, built and explained a churn prediction model for marketing stakeholders using SHAP and delivered it via a Flask API into dashboards, driving a reported 22% attrition reduction.”

“Data engineer with Charter Communications experience modernizing large-scale AWS data lake pipelines: ingesting S3 data, validating against legacy systems, transforming with PySpark/Spark SQL, and serving via Iceberg/Delta tables. Worked at 50M–300M record scale, delivered >99.5% data match, and built monitoring/alerting (CloudWatch/SNS) plus retry orchestration (Step Functions) and data quality gates (Great Expectations).”

“Serial healthcare entrepreneur who has founded three ventures across nuclear pharmacy and radiology/imaging, including building a nuclear pharmacy in a 500-mile underserved region and personally managing NRC regulatory compliance. Also built an early virtual radiology practice with remote radiologists and SaaS-only infrastructure, using a highly metrics-driven approach to opportunity assessment and capital formation via strategic partnerships.”

“Operations transformation leader with private-equity due diligence experience who rebuilt KIO Networks’ operating model using ITIL/COBIT/ISO 27001, stood up a PMO, and standardized tooling across countries—helping shift the business from co-location to managed services/cloud and improving EBITDA from -7% to +4% in 18 months. Also serves as a board member/mentor at EvoNexus and UCSD Rady, coaching founders on ICP, GTM, pricing, and investor readiness.”