Vetted Agile Professionals

TJ Bowen

Screened

Director-level Product Leader specializing in Enterprise SaaS and AI-driven e-commerce

14y exp

“Product leader with deep experience in rebuilding and consolidating complex SaaS and e-commerce platforms, including a five-product unification at Tribute Technology that contributed roughly $12M in ARR growth. Has also shipped human-centered AI products in emotionally sensitive domains, including AI condolence moderation and an AI-assisted obituary writer, combining business impact with strong UX and dignity-focused judgment.”

“Backend/data platform engineer who owned an enterprise Django REST + PostgreSQL reporting backend and built Python ETL pipelines to normalize 3M+ legacy customer records, improving data reliability by 85%. Strong Kubernetes/GitOps practitioner (Helm, ArgoCD, Jenkins/GitHub Actions) with real-world production debugging experience, plus Kafka streaming at 5M events/day and a zero-downtime monolith-to-event-driven microservices migration on AWS that cut infra costs by 42%.”

“Recruiting leader who has managed a 10-person recruiting team and still stays hands-on with C-level executive searches. Brings a dual recruiting + HRBP perspective and has partnered directly with a CFO on strategic hiring decisions, including market insights and trade-offs. Led a recruiting lifecycle standardization initiative to improve candidate experience consistency and hiring efficiency.”

“Full-stack product engineer who has shipped customer-facing features end-to-end, including a product detail page backed by Java/Spring Boot microservices and a React/TypeScript UI. Demonstrated measurable impact through performance and maintainability improvements (30% faster APIs, 25% less duplicated UI code, 40% reduced API complexity via GraphQL) and has operated/scaled apps on AWS with CI/CD, monitoring, and incident-driven scaling fixes.”

Sachin Kulkarni

Screened

Mid-level AI/ML Engineer specializing in LLMs, NLP, and AWS MLOps

New York, US3y exp

“Recent master’s graduate in robotics with applied experience across reinforcement learning and ROS 2 autonomy stacks. Built an RL-based drone vertiport traffic controller (PPO) focused on reward design and simulation integration, and has hands-on navigation work in ROS 2 including LiDAR preprocessing, SLAM/path planning, and stabilizing TurtleBot3 wall-following. Also brings deployment experience containerizing robotics nodes and scaling them with Kubernetes on AWS.”

“Technical PM with enterprise SaaS implementation experience across fintech, healthcare, and insurance, currently supporting a complex mortgage servicing platform used by banks and mortgage institutions. Stands out for managing multi-workstream delivery in highly regulated environments and for building strong governance structures, including executive reporting, RAID tracking, and milestone-based program oversight.”

“Robotics software engineer focused on backend/integration for indoor autonomous mobile robots, with hands-on ROS 2 experience integrating Nav2/AMCL/TF2 and LiDAR/camera pipelines. Emphasizes production readiness—robust failure recovery, QoS-tuned distributed communication, and strong observability (logging/health checks)—validated through Gazebo simulation, sensor-data replay debugging, and Docker-based CI/CD deployment.”

“Unity VR developer with long-standing experience shipping on the Oculus/Meta Quest ecosystem (dating back to before the Facebook acquisition). Recently drove a high-stakes OpenXR migration for a live service app using release branches, QA, feature flags, and staged rollouts. On Border Bots VR, owned the robot character editor and major performance work, including a manual scene optimizer to reduce overdraw and enable higher-fidelity set pieces.”

“Data engineer with ~4 years of experience building Python-based data ingestion/processing services and real-time streaming pipelines (Kafka/PubSub + Spark Structured Streaming). Has deployed containerized data applications on Kubernetes with GitLab CI/Jenkins pipelines and applied GitOps to cut deployment time ~40% while reducing config drift. Also supported a legacy on-prem data warehouse/backend migration to GCP using phased migration and parallel validation to meet strict reliability/SLA needs.”

Michael Asadoorian

Screened

Executive CTO specializing in cloud-native SaaS, multi-cloud infrastructure, and AI/ML

Los Angeles, CA28y exp

“Hands-on infrastructure and engineering leader (Director of Global Infrastructure / CTO) who has run double-digit multi-million dollar data center expansion and cloud migration programs and scaled teams rapidly (including offshore/nearshore). Strong AWS and microservices background (Lambda/SQS/SES), with experience balancing deep technical architecture work alongside investor/VC communications and fundraising-related responsibilities.”

“Backend engineer who owned and shipped a campaign analytics API (FastAPI/Postgres/Redis/Celery) with ingestion from Instagram/YouTube, JWT auth, tests, and Docker deployment; improved performance from >1s to <150ms using precomputed aggregates and composite indexes. Experienced with Kubernetes GitOps using GitHub Actions + ArgoCD (zero-downtime rollouts, one-click rollbacks), Prometheus/Grafana observability, hybrid cloud-to-on-prem migrations, and real-time notification streaming via Redis Pub/Sub + WebSockets.”

“Backend/AI engineer who has built and operated production Node.js/Express services on AWS (Postgres/Redis) and has hands-on experience shipping an AI-powered support agent using RAG (Pinecone + LLM) with grounding checks and evaluation for hallucination rate. Demonstrates strong production reliability/performance debugging, including reducing peak latency from ~2s back to sub-300ms through query and caching optimizations, plus designing agent workflows with retries and human-in-the-loop escalation.”

“Candidate is actively exploring AI-driven development and modern coding assistants like Claude AI, Cursor, Gemini, and other LLM-based tools. While they have not yet led AI-agent projects or used multi-agent systems in production, they are proactively building knowledge through AI coursework and the Microsoft AI Engineering specialization.”

“Gaming integrations specialist with experience shipping pre-built slot games (e.g., Push Gaming titles) to casinos, operators, and aggregators via API integrations. Handles end-to-end launch workflow including requirements gathering, compliance/jurisdictional constraints, staging-to-production deployments, and coordinating bilateral API testing and production monitoring for new market launches.”