Vetted Cloud Computing Professionals

“Built and shipped a production RAG system (“TROJAN KNOWLEDGE”) for answering questions over technical PDFs, using a 3-stage retrieval stack (BM25 + FAISS + cross-encoder) to lift F1 from 71% to 84%. Drove major performance gains with a 3-level cache (memory/Redis/disk) cutting latency from ~200ms to ~10ms, and added Prometheus/Grafana monitoring plus LangChain-based fallback logic to handle OpenAI rate limits under load.”

Brandon Pav

Screened ReferencesStrong rec.

Executive CTO specializing in cloud architecture, DevSecOps, and scalable SaaS platforms

Indianapolis, IN13y exp

“Founder of Pavtek Consulting LLC who acts as a hands-on technology leader for startups, building MVPs and full-stack AI products, custom ERPs, integrations, and AI agent chat tools. Notably led a major turnaround at Dyknow (EdTech), cutting major cloud waste and moving the business from a $500k annual loss to double profitability within two years before a successful acquisition.”

“Frontend engineer/lead who has owned end-to-end architecture for large customer-facing React/Next.js platforms, emphasizing strong API contracts (GraphQL + TypeScript codegen), automated quality guardrails, and performance as a feature. Built complex workflow UIs including a multi-step patient booking flow for New York’s largest healthcare provider and an admin dashboard handling 400,000+ USDA ingredient records, with disciplined state management, staged rollouts, and real-user monitoring.”

Tarang Nair

Screened

Mid-Level Full-Stack Software Engineer specializing in cloud-native APIs and AI apps

Oakland, CA5y exp

“Early-stage startup full-stack engineer who built an inventory and billing management product for retail shop owners in India, iterating quickly based on customer feedback. Has hands-on experience designing scalable cloud infrastructure on GCP with Kubernetes and applying clean architecture for testable, modular systems; also built internal monitoring dashboards for error and performance visibility.”

“Revenue growth and RevOps veteran (25+ years) relaunching Impactus Growth Advisors, a services firm for early-to-growth-stage startups focused on execution-heavy revenue ops. Has validated tiered service packages through years of fractional consulting and is planning an AI-based Q&A app as an entry point to scale GTM and service delivery, with intent to bootstrap or potentially raise via angels.”

“Master’s-program backend engineer with strong Java/Spring Boot industry experience who also owned a Python analytics service (Flask/Postgres, JWT, Celery/Redis) and optimized large-dataset performance via SQL/batching. Has hands-on Kubernetes microservices deployment and GitLab+Terraform CI/CD/GitOps workflows, plus experience supporting phased on-prem to AWS migrations and building Kafka-based real-time streaming pipelines.”

“Software engineer with connected-car/automotive production experience who owned an end-to-end remote door lock/unlock feature and introduced unit testing (GTest) plus rig/simulator validation. Also built and productionized an AI-native AWS cloud cost assistant (Lex + GPT-based LLM + Lambda + RAG/vector DB) with guardrails and achieved 94% evaluation accuracy. Helped replace a third-party solution with an in-house build, saving the company ~€9M.”

“Built and shipped an AI-powered driver ranking/assignment system at AffirmoAI using LLM intent classification + RAG over pgvector/Postgres, served via FastAPI with a React UI that explains scores. Drove measurable improvements through optimization and iteration (latency down to <800ms, adoption 60%→90%+) and implemented rigorous eval loops with dispatcher ground truth plus cold-start handling for new drivers.”

Uttam Kumar

Screened

Intern AI Engineer specializing in LLM agents, RAG, and scalable cloud deployment

Atlanta, GA2y exp

“AI/LLM engineer at GPT integrators who built a production multi-agent enterprise workflow integration system, tackling hard problems in agent orchestration, layered memory, and custom RAG over enterprise/user data. Also built an education-focused agent solution integrating with Canvas, Zoom, and email to automate classroom admin tasks, and is currently applying agentic AI to insurance underwriting workflows in collaboration with underwriters.”

“Built and shipped LLM-enabled decision systems focused on real production reliability rather than chatbot demos, including a multimodal radiology retrieval platform with 28% relevance gains and 35% lower latency. Also architected a 4-agent employee analytics workflow with structured outputs, traceable orchestration, and strong safeguards for messy real-world data.”

Shady Alzayat

Screened

Executive engineering leader and full-stack builder specializing in platforms, payments, and healthcare

San Francisco, CA20y exp

“Serial entrepreneur building appetier.com, an agentic restaurant marketing and ecommerce automation platform for restaurants. Previously raised for Atlas Mental Health and brings thoughtful fundraising perspective centered on investor alignment, GTM partnership, and vertical SaaS/SMB infrastructure expertise.”

“Robotics/embedded candidate who built an IoT smart shoe for visually impaired users, implementing real-time obstacle detection with ultrasonic sensors and haptic feedback on Arduino. Has practical ROS experience (RViz/Gazebo) and improved reliability in distributed systems by hardening an Arduino-to-ROS serial protocol with framing, strict parsing, and sensor-noise filtering; also containerized ROS environments with Docker for reproducible simulation and onboarding.”

“Backend/data engineer who built a production-ready multi-agent financial intelligence system (Mycroft) that orchestrates specialized AI agents to analyze real-time market data using FastAPI and Pinecone vector search. Brings strong security/reliability instincts (rate limiting, JWT/OAuth2, retries/backoff, health checks) and has caught high-impact data integrity issues in financial migrations (timezone normalization across global legacy systems).”