Vetted Automation Professionals

“Full-stack/backend engineer with healthcare and enterprise experience: built and secured AWS-hosted services for a clinical EHR product that redacts/transforms hospital patient records for pharma customers (e.g., AstraZeneca, Johnson & Johnson). At Cisco, led an incremental Ruby-to-Python/Django migration for a compliance backend, and has deep multi-tenant security experience using Postgres RLS tied to JWT plus DLQ patterns to harden data pipelines.”

“AIX/Solaris and IBM Power specialist who has led real-time performance recoveries for core banking/ERP workloads—diagnosing CPU/IO contention down to FC queue depth and LPAR sizing, restoring latency from 5s to 200ms. Experienced with POWER7/8/9 operations across HMC/VIOS/NPIV and live DLPAR resizing, plus legacy Solaris SPARC to RHEL x86 hybrid re-platform migrations with post-cutover Oracle performance considerations.”

“Founder building an agentic AI-based low-code platform for B2B enterprise applications, validated through enterprise client conversations and delivered via rapid paid MVP/POCs. Platform has seen production traction (6–7 apps, 1000+ daily users) and includes capabilities like QR scanning integrated with ERP/PLM systems. Experienced in business development and client relationships, with a pragmatic, ROI- and speed-focused approach to product and GTM under tight capital constraints.”

“At Triple Whale, partnered with product, engineering, and sales to bring enterprise LLM-based budget recommendation agents from impressive prototypes to trusted production workflows. Strong in prompt/input tuning, explainable structured outputs, and running tightly-scoped POCs with clear success criteria—plus hands-on technical demos and post-sale implementation to drive adoption.”

“Robotics software engineer who built and owned core navigation components for a TurtleBot in ROS/ROS2 and Gazebo, including an RRT-based planner, waypoint-to-velocity motion planning, and PID trajectory tracking. Demonstrates strong real-time debugging skills (control-loop timing under CPU load), costmap/occupancy-grid tuning, and distributed ROS2 communication design using DDS/QoS, plus Docker and CI/CD automation experience from Keysight.”

“Strategy consulting and business operations professional with climate-tech and climate VC experience (Avnos, Earth Foundry, Strategy&). Led cross-functional work to update a techno-economic analysis and produce a pilot proposal for direct air capture, contributing to a won engagement; also served as Chief of Staff to GPs, streamlining diligence, dealflow, CRM, and LP reporting to boost executive productivity.”

“Bootstrapped founder of a 1-year-old IT consulting/technology advisory firm with two active contract clients. Focuses on integrating business strategy with technology direction for organizations, growing through networking and targeted marketing (e.g., LinkedIn/Indeed) while maintaining a financially disciplined, client-first growth approach.”

“iOS player-coach who led end-to-end development of real-time customer support chat and unified notification systems for T-Mobile’s iOS app using SwiftUI, Firebase, WebSockets, and Core Data (including offline handling). Drove measurable reliability/latency gains (~30%) through a major notification refactor and owned a high-severity push-notification incident from rollback through RCA and backward-compatible hotfix, while also scaling team process and people management.”

“Robotics software engineer with ~7 years of ROS/ROS2 experience spanning dual-arm metal additive manufacturing and prior work on the DARPA Subterranean Challenge. Developed in-house multi-arm collision/trajectory planning and achieved a major calibration improvement (from ~6 cm error to ~0.5 mm) via ICP point-cloud registration, with strong simulation/digital-twin, SLAM, and deployment (Docker/CI/CD) exposure.”

“Robotics researcher/team lead from ASU’s Robotics and Intelligent Systems Lab who rebuilt a failing soft-robotics test bench into a modular 8-Arduino, ROS 2/Python-controlled data-collection system, doubling sampling performance and dramatically reducing downtime. Currently doing thesis work on physics-informed neural network (PIRNN/RNN) modeling of a pneumatically actuated soft robotic arm using experimentally collected trajectory/pressure data.”

“AI Product Manager who also operates as a product marketer/CRM lifecycle lead, focused on behavior-driven onboarding and retention. Has delivered measurable growth through segmentation, multi-channel lifecycle programs, and experimentation (e.g., activation +23%, TTFV -30%, retention +14%), and led a cross-functional chatbot integration that improved course completion (+23%) while reducing refunds (-15%).”

“Frontend engineer who led end-to-end architecture for a cross-platform Payments Checkout SDK at Inai Technologies, scaling it to support iOS/Android/React Native/Flutter/Capacitor and powering 2.4M+ transactions per month. Emphasizes performance (bundle size/tree-shaking), OTA update delivery for mobile wrappers, and strong engineering guardrails (SonarQube, Snyk, CI/CD, regression suites, Sentry/PostHog) to ship quickly with high quality.”

“Hands-on engineering leader with 22 years in marine vessel monitoring/control who spans embedded electronics/software through cloud services. Built end-to-end telemetry platforms (sensors to cloud to web UI/API) and led a shift from low-level implementations to web-native technologies to accelerate delivery and broaden the hiring pool, while also scaling teams with a strong culture of openness and accountability.”

“Frontend-focused engineer with experience building and optimizing React-based dashboards and reusable component libraries in a multi-team, internal open-source-style environment at Merck (ClearSight Forecasting Dashboard). Also handled production user issues on a live streaming platform (GameSee.tv) and built a financial application from scratch at Manipal Business Solutions, owning backend services, middle-tier APIs, and third-party integrations.”

“Engineering leader who proposed and delivered a new API-based document management platform to replace a vendor-dependent system, improving latency by ~1s and availability to 99.9% while migrating legacy data. Also drove Python-based automation of ~12 workflows via third-party API integrations and led an SSO/auth integration focused on backward compatibility and high login success rates.”

“Operations leader/advisor with experience helping an early-stage tech company scale from ~100 to ~250 employees by redesigning operating processes, implementing RACI-based accountability, and introducing automation and real-time dashboards. Notably improved the sales-to-onboarding handoff to create a more consistent client experience and accelerate onboarding, supporting referral-driven growth while coaching founders/executives to embrace simplicity as a speed lever.”

“Backend-focused Python/Flask engineer who has built authentication/profile services with clean modular architecture (blueprints + service layer) and tuned SQLAlchemy/Postgres for scale using indexing, query rewrites, and pagination. Has production-style integration experience for AI/ML via TensorFlow Serving and OpenAI APIs (batching, rate limiting, caching), plus multi-tenant data isolation and high-throughput background processing with Celery/Redis and idempotent jobs.”

“Entrepreneurial operator with experience creating business plans and securing venture capital to accelerate a go-to-market strategy. Demonstrates a structured approach to new ventures: framing opportunities, validating/de-risking via market/competitive/external analysis and financial modeling, then building governance, sponsorship, and an execution plan with the right team.”

“Built and deployed a production LLM-powered RAG assistant for semiconductor manufacturing failure analysis, reducing engineer triage effort by grounding outputs in retrieved evidence and gating responses with SPC + ML signals (LSTM anomaly scores, XGBoost probabilities). Experienced with LangChain/LangGraph to ship reliable, observable multi-step agents with branching/fallback logic, and evaluates impact using both technical metrics and business KPIs like mean time to triage and downtime reduction.”

“Robotics software engineer focused on real-time teleoperation and high-quality robot-learning data pipelines, including synchronized multimodal sensing (RGB-D, tactile, joint states) for Diffusion Policy training on a bimanual ALOHA robot. Strong ROS practitioner who debugs real-time control issues with ROS tooling and builds simulation environments in Isaac Lab and PyBullet; also packages data-collection stacks with Docker.”

“Built and shipped a production LLM-powered recruiting workflow that ranks resumes against job descriptions, generates evidence-based justifications, and finds "hidden fit" candidates using embeddings + RAG. Demonstrates strong production engineering around hallucination control, latency, and predictable LLM cost management (budget checks, top-K pruning, tenant caps), plus orchestration experience with Airflow/Prefect/Kubernetes and a structured evaluation/monitoring methodology for AI agents.”