Vetted Claude Professionals

“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”

Vineet Jujjavarapu

Screened

Mid-level Software Engineer specializing in cloud-native data platforms

College Park, MD3y exp

“Software engineer with hands-on experience using AI coding assistants and LangChain-based agent workflows in RAG/LLM projects. Stands out for combining practical multi-agent experimentation with strong grounding in system design, distributed systems, and production-minded validation of AI-generated outputs.”

Aditya Rao

Screened

Mid-level Software Engineer specializing in backend, AI, and distributed systems

San Jose, CA5y exp

“Software engineer with 4.5 years of startup experience across programmatic advertising, health tech e-commerce, and automobile diagnostics, plus both bachelor's and master's degrees in CSE. Built an agentic global supply chain platform in a hackathon using a highly structured AI-first workflow, and has hands-on experience designing multi-agent debate systems, rollout safeguards, and observability-driven production fixes.”

“Entry-level software engineer with hands-on experience building a GPA predictor web app in a school project, focused on React/TypeScript frontend, authentication, and UX for AI-driven syllabus parsing. Stands out for translating ambiguous product ideas into a usable MVP, improving onboarding flow, and adding resilient loading/error states for unreliable parsing and API behavior.”

“Veteran software engineering leader who started as an early internet engineer in the mid-1990s and has since grown into Director/VP-level leadership across legacy web platforms, logistics systems, and modern data engineering. Particularly compelling for companies needing a hands-on leader who can modernize complex Perl/UNIX monoliths, manage large cross-functional teams, and deliver operational systems in warehouse, marketplace, and reverse-logistics environments.”

Robbie Harol

Screened

Principal Product Leader specializing in AI-native, civic, and climate tech

Los Angeles, CA18y exp

“Product leader with unusually broad experience spanning adtech startups, consumer rewards, political-tech nonprofits, and consulting for operational automation. Stands out for pairing strong UX and monetization instincts with practical AI product work, including building a RAG-based chatbot and consistently using user research to drive measurable outcomes like 400% conversion growth, higher satisfaction, and faster onboarding.”

“Product leader with a rare mix of healthcare, HR tech, mobile, and AI experience. They rebuilt UPMC's member app for 3M members while pioneering a product-based funding model inside a large enterprise, and later drove 80%+ revenue growth at JazzHR by reshaping marketplace UX for SMB buyers. Their AI work is notably human-centered, with explicit fairness, compliance, and approval guardrails.”

“Full-stack and AI product engineer focused on data instrumentation and tracking-plan automation. They built an end-to-end publish architecture plus an MCP/agent workflow that turns PRDs, Figma files, and meeting transcripts into tracking plans and implementation-ready code, reportedly shrinking work from 4-5 days to minutes. They also show strong judgment around productionizing LLM systems, with tool-centric prompt design, backend guardrails, and human-in-the-loop controls for high-risk actions.”

Jared Alonzo

Screened

Mid-level Customer Engineer specializing in enterprise search and technical delivery

New York, NY7y exp

“Search-focused technical consultant/customer success engineer with 6+ years in B2B SaaS, supporting government, higher ed, mid-market, and enterprise customers including Fortune 500 brands like Mondelez, Hasbro, and Sanofi. Particularly strong in enterprise search architecture, personalization data design, and expansion use cases, with hands-on experience shaping solution decisions for retailers such as Snipes and Rue Gilt Groupe.”

“Built internal product features at Sysco's Collab Cafe across React/TypeScript frontend and Spring Boot/PostgreSQL backend, including a full project invite flow and an early AI-style project matching capability. Stands out for owning features end-to-end, improving React dashboard performance with profiling and component refactoring, and making pragmatic 0→1 tradeoffs to ship quickly.”

Vinay K Naidu

Screened

Senior Full-Stack Engineer specializing in Healthcare IT and FinTech

5y exp

“Built and shipped a production LLM-powered incident assistant integrated with monitoring, logs, and metrics systems that reduced triage time by 30–40% and improved MTTR. Stands out for a strong reliability-first approach to agent design, including deterministic orchestration, strict schemas, fallback flows, grounding checks, and safeguards for messy operational data.”

“Software engineer with production experience building a serverless monolith and multi-layer video pipeline at easyML, plus hands-on integration of multiple LLM providers (Grok/Claude/OpenAI) into a full-stack app. Interested in robotics via computer vision (OpenCV/OpenMMLab), with a strong real-time systems mindset around SLOs, latency, determinism, and reliability; also has low-level OS experience writing a keyboard device driver.”

“Infrastructure/DevOps engineer (Vidmob) focused on AWS + containers, owning GitLab CI/CD and Terraform-managed environments. Led a high-impact CI incident by correlating runner queue time, Docker pull latency, and NAT egress; implemented ECR pull-through caching and VPC endpoints to restore performance and then standardized the fix in Terraform for future scale-ups.”

“GenAI/ML engineer who has shipped production agentic systems in highly regulated and high-throughput environments, including an AWS Bedrock-based fraud/compliance workflow at U.S. Bank with PII redaction and hallucination detection that cut investigation time by 50%+. Also built and evaluated RAG and recommendation systems at Target, using RAGAS-driven testing, hybrid retrieval with re-ranking, and SHAP explainability dashboards to align model behavior with merchandising business KPIs.”

Szymon Kościelniak

Screened

Senior Unity Developer specializing in mobile and VR/PC games

Warsaw, Poland7y exp

“Unity gameplay engineer from Moonactive who rewrote the gameplay engine for ZenMatch, maintaining two engines in parallel via a separation layer to improve robustness/scalability and make new content easier to ship. Also implemented multiplayer for a client prototype using the Onion networking framework and is familiar with Photon Fusion concepts.”

“SRE-oriented infrastructure engineer who built an internal Vertex AI/Gemini knowledge chatbot to centralize product and development documentation, cutting routine support questions from 10+ daily to roughly 2. Also brings hands-on experience debugging Kubernetes production incidents and monitoring ETL/data-quality issues in Dataflow-based pipelines.”

Naveena Musku

Screened

Mid-level AI/ML Engineer specializing in agentic AI and LLM systems

5y exp

“Backend engineer focused on productionizing LLM systems: built a FastAPI-based RAG and multi-agent automation platform deployed with Docker/Kubernetes, prioritizing safe execution and reduced hallucinations. Experienced in refactoring monolithic ML services with feature-flagged incremental rollouts, and implementing JWT/RBAC plus row-level security (e.g., Supabase) for secure, scalable APIs.”

Jessy Kattupalli

Screened

Mid-level Full-Stack Java Developer specializing in enterprise web applications

West Haven, CT4y exp

“Backend/full-stack engineer with hands-on experience building enterprise-scale real-time log analysis platforms using Spring Boot, Kafka, React, and observability tooling. Stands out for using AI tools heavily but responsibly—treating them as accelerators while relying on rigorous testing, architectural review, retry/DLQ patterns, and monitoring to ensure production reliability.”

Joseph Selby

Screened

Senior Product Leader specializing in EdTech and digital assessment

Remote, USA17y exp

“Edtech product leader with deep experience across Pearson, SMART, and Promethean, spanning legacy platform modernization, classroom engagement tools, and early AI in education. Particularly compelling for roles at the intersection of product, pedagogy, and human-centered AI: they rebuilt SMART's 29-year-old Notebook platform and have repeatedly designed products around real teacher and student needs.”

Scott Evans

Screened

Director-level Product Leader specializing in platforms, marketplaces, workflow automation, and AI

Indianapolis, IN10y exp

“Product leader with experience across marketplaces, AI/ML operations products, and education-focused research. Led the Angi native app rebuild that generated $5M+ in revenue, shipped an OCR/ML title-processing product at Cox, and is now focused on K-12 workforce pathways and human-centered AI.”

Matthew Marriotti

Screened

Director-level Product and UX leader specializing in retail e-commerce experiences

Erie, PA13y exp

“Long-tenured American Eagle product/design leader with 12.5 years driving digital experience transformation, including a zero-to-one mobile app initiative that grew from less than 5% to more than 50% of digital revenue. Brings a rare blend of UX research depth, product strategy, cross-functional execution, and practical AI-enabled design thinking.”

“Built and iterated an end-to-end virtual waiting room for a real-time ticketing prototype, making concrete architecture tradeoffs (polling + Redis Pub/Sub) and improving performance post-launch with Redis caching (+30% throughput, -15% p99 latency). Also has hands-on experience building Spark/HDFS ETL pipelines with strong reliability/observability patterns and running disciplined NLP model evaluation loops on review-rating classification.”

“Built Taskline end-to-end as a solo founder: an AI-native operations platform for tradespeople with web and mobile apps, AI receptionists, invoicing, scheduling, and payments. Particularly interesting for teams seeking a zero-to-one full-stack builder who can turn LLM/agent capabilities into practical, low-friction products for non-technical users.”

“APAC-to-US startup operator who began in client advisory at CXG and Ipsos, then joined Potloc as an early employee and helped scale it from Series A to C. Built functions, operating models, and a new US market from scratch, and later created a partnerships function that closed 4 deals worth over $1M in annual revenue.”