Vetted API Integration Professionals

“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”

“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”

“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.”

Likitha Kukunarapu

Screened References

Mid-level Applied AI Engineer specializing in data engineering and healthcare AI

Remote, USA3y exp

“Built production LLM agents spanning document Q&A, financial insight generation, and ERP-like operational data workflows, with a strong focus on reliability, grounding, and evaluation. Stands out for translating LLM systems into measurable business outcomes, including 70%–80% support workload reduction and a fallback-rate improvement from 18% to 8% through targeted RAG iteration.”

“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.”

Michael Forster

Screened ReferencesStrong rec.

Senior Data Engineer specializing in ETL/ELT pipelines and data integration platforms

New York, NY15y exp

“Data engineer/software engineer who led an end-to-end ETL/ELT pipeline at Pearson processing millions of rows of student data nightly, including client-side data prep/validation, SFTP/API ingestion, staging-based SQL validation/transforms, and production loading. Built reliability features like configurable per-client validation thresholds, detailed reporting, concurrency throttling via a custom queue, and multi-source merge/backfill logic to keep nightly loads running even when sources fail.”

“Infrastructure/automation engineer with experience bridging post-acquisition environments (Pandora + SiriusXM) by building an API-driven integration to provision Debian workloads on RHV while preserving iPXE-based imaging workflows. Strong in deep debugging across virtualization/network/OS layers (e.g., resolving virtio/vCPU contention causing network/NFS issues) and in extending automation tooling via custom Ansible/Python modules. Also has exposure to biomanufacturing on-prem devices (Hamiltons, shakers) alongside AWS microservices.”

“Software engineer with JPMorgan Chase experience building a real-time operations console backend on Spring Boot/Kafka/Kubernetes and resolving peak-load latency through profiling, indexing, caching, and async processing. Also built and owned an AI-driven digital-archives metadata pipeline during a master’s at UNT using OCR + LLaMA-based prompting with validation, near-human accuracy, and human-in-the-loop guardrails.”

Carlotta Island

Screened ReferencesStrong rec.

Junior Frontend Engineer specializing in React and FinTech web applications

3y exp

“Developer who uses AI as a practical collaborator rather than a crutch, pairing tools like Claude with console logging, testing, and hands-on validation. They emphasize understanding code, data flow, and architecture while staying current by building projects and following AI and engineering communities.”

Crystal Marcus-Kanesaka

Screened ReferencesStrong rec.

Senior Product Designer specializing in onboarding, activation, and product-led growth

20y exp

“Seasoned product strategist and UX-led product leader with ~20 years across education, cybersecurity, Web3, martech, media, and public/private sector work. She combines hands-on AI-enabled product building with large-scale team leadership, including launching zero-to-one cybersecurity learning products, scaling Braintrust programs from 2,500 to 58,000 users, and improving onboarding experiences that helped double ARR to $400M. Her background in underserved K-12 communities and blended learning makes her especially compelling for human-centered AI and educational equity roles.”

“Built across cloud infrastructure, AI-powered product workflows, and backend data reliability in environments including Northeastern, Knead, and Grafx. Particularly compelling for roles needing someone who can both ship AWS-based systems end-to-end and debug messy production issues involving caching, APIs, and data pipelines.”

“Full-cycle recruiter who specializes in unblocking stalled searches and driving tight feedback loops—closed a senior DevOps role that had been open 180 days in under 42 days by resetting intake, sourcing via LinkedIn/GitHub, and pre-closing through competing offers. Has operated in high-throughput environments managing 30+ requisitions using pipeline health, time-in-stage, and conversion metrics to catch bottlenecks early.”

Kris Wen

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in AdTech and AI-enabled web engineering

San Francisco Bay Area, CA4y exp

“Software engineer at American Express who built a zero-to-one first-party cookie tracking architecture as the industry moved away from third-party cookies, combining frontend, backend, CI/CD, and AI-assisted QA automation. Particularly strong in developer tooling and workflow automation, with measurable impact including 70% less manual QA, 8+ critical errors caught pre-production, and PR cycles reduced from 48 hours to under 8.”

“Software engineer with hands-on experience shipping production AI agents and end-to-end ecommerce workflows. They built a customer support automation agent with strong guardrails and evaluation practices, then improved it post-launch using real user data to cut latency ~30% and token cost ~25%. Also drove a zero-to-one self-serve order modification product across React UI, backend services, and cross-functional alignment.”

“Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.”

“Repeat founder/operator who has raised over $1M across three companies and has hands-on experience advising fundraising, including helping a biotech company secure a $500K+ accelerator round through IndieBio. Brings a strong point of view on early-stage investing, founder quality, and startup traction metrics, with a clear intention to build or lead a company rather than join one long-term.”