Vetted REST API Professionals

“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”

“Founding AI engineer at an AI SaaS startup who built the full GTM knowledge and retrieval stack for non-technical teams, driving 60% less manual effort and 25% faster deployments. Also brings enterprise B2B SaaS integration experience from Wipro, including external API/documentation work for large-scale partner ecosystems.”

“Full-stack engineer who built and scaled an AI-powered web product (React/Next.js + TypeScript/NestJS) with MongoDB, Redis, and RabbitMQ. Strong in rapid iteration while maintaining production quality—uses versioned APIs, feature flags, CI/CD, and observability (correlation IDs/structured logs) to ship frequently and debug distributed workflows. Also created an internal operations dashboard for real-time visibility and control of background jobs/AI workflows that was adopted quickly by ops and product teams.”

“Unity/C# gameplay engineer with hands-on ownership of a 100+ quest system and measurable 20% performance gains through profiling and engine-level optimization. Also has shipped Photon-based multiplayer VR work, including a 4-user application for an NSA-related project, and has practical analytics-driven UI improvement experience.”

“Frontend/full-stack engineer with enterprise experience at Infosys and hands-on ownership of a full-stack educational platform, MicroExplore. Built React UI architecture plus FastAPI/MongoDB CRUD features end-to-end, and stands out for candid technical judgment around tradeoffs, maintainability, and security gaps he would address in a production-grade next iteration.”

“Full-stack product engineer who independently built and maintained a marketplace app end-to-end, including React/Node/PostgreSQL architecture, real-time chat, S3 uploads, and OpenAI-based listing validation. Also shipped backend-heavy workflow features for a nonprofit upward mobility platform using Supabase edge functions, with a clear focus on security, role checks, and operational reliability.”

“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”

“AI Software Engineer (student employee) at University of Washington IT who helped deploy "Purple," a governed, explainable LLM platform on Azure used by 100,000+ students/faculty/staff. Independently led scalable reliability efforts by building automated agent quality/load/red-team testing and CI/CD health validation (Playwright/Node.js, Azure DevOps), and previously built an explainable AI scheduling assistant for clinical operations at Proliance Surgeons.”

Sudheer koki

Screened ReferencesStrong rec.

Mid-level AI/ML Engineer specializing in predictive modeling, data pipelines, and RAG systems

Florida, USA5y exp

“Built and productionized an LLM-powered internal knowledge search system in a regulated environment, using embeddings/vector DB retrieval with strict grounding and confidence gating to reduce hallucinations. Reported ~45% accuracy improvement over keyword search and implemented end-to-end orchestration, monitoring, CI/CD, and incremental re-indexing to manage latency and data freshness while driving adoption with business stakeholders.”

William Armstrong

Screened ReferencesStrong rec.

Junior Product Engineer specializing in AI and SaaS

San Francisco, CA1y exp

“Product intern at an AI startup (AdvisorGPT) who helped turn an LLM-based prototype into a production SEO blog-generation workflow that matched a firm’s tone/voice and targeted specific search phrases. Strong at bridging technical and non-technical teams, rapidly learning new AI tooling, and driving adoption through customer calls, UX improvements, and customer-facing demos/workshops.”