.png){kind=logo}
Vetted Claude Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in ML, time series forecasting, and GenAI/LLM systems
Mid-level AI/ML Engineer specializing in FinTech and Healthcare analytics
Mid-level Full-Stack Software Engineer specializing in cloud-native apps and GenAI
Junior Software Engineer specializing in cloud data engineering and ML systems
Mid-level Full-Stack Software Engineer specializing in LLM/RAG systems in FinTech
Mid-level Product Designer specializing in AI-augmented FinTech and Healthcare UX
Senior Motion Designer specializing in 2D/3D animation and brand storytelling for SaaS
Mid-level AI Engineer & Data Scientist specializing in Generative AI, NLP, and Cloud ML
Senior Full-Stack Software Engineer specializing in FinTech and payments
Mid-level Data Scientist specializing in NLP, time-series forecasting, and GenAI
Senior Full-Stack Software Engineer specializing in Healthcare IT and FinTech integrations
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Sanjay Mamani
Executive Technology Leader specializing in enterprise data, AI, and cloud analytics
“25-year builder/operator who has scaled others' visions and led VC-backed startup incubation work (Saltmines). Built Bridgetree’s AI CoE from 0 to 1 and cites $20M+ measurable customer impact, with experience leading 110-person cross-disciplinary teams. Exploring a new venture idea (gotAgentic.ai) focused on agentic AI solutions such as AI-ready data prep, agentic SDLC teams, and front-office automation (scheduling/invoicing).”
Sanveed Adnan Qureshi
Senior Marketing Analytics & Operations Analyst specializing in performance marketing and BI
“Paid media/demand gen marketer who owned a $50K/month multi-brand budget (five business units) across Google Ads and LinkedIn Ads. Ran structured A/B tests and made fast budget reallocations based on benchmarks (CTR/CPL/lead quality), and diagnoses performance declines via funnel and saturation analysis (frequency/overlap) to stabilize CPAs and restore volume.”
Andre Kuznetcov
Staff Front-End Engineer specializing in high-performance web apps and AI products
“Frontend engineer who built uichallenges.design end-to-end in Next.js, delivering hourly AI-generated challenges across timezones and a CDN-backed gallery of 1k+ items while staying fast for 100s of weekly active users. Also led a full replacement of Zenhub’s kanban board, forking DnD tooling and adding custom virtualization + Redux to support thousands of items with real-time socket updates, shipped safely via gradual rollout with Sentry/Mixpanel and A/B testing.”
Anvesh Reddy Narra
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“Built a secure, on-prem/private GPT assistant to replace manual SharePoint-style search across thousands of policies/SOPs/engineering docs, using a production RAG stack (LangChain/LangGraph, FAISS/Chroma, PyMuPDF+OCR, vLLM). Implemented layout-aware ingestion (including table-to-JSON) and a multi-agent retrieval/generation/verification workflow with strong observability and compliance guardrails, delivering ~70% reduction in search time.”
Swapnil Surdi
Senior Full-Stack Software Engineer specializing in API architecture and AI agentic RAG systems
“Hands-on backend/AI engineer who solo-built two production Claude-based agent systems: an internal Slack RAG over Confluence/Jira/code/regulatory docs and a HIPAA/GDPR-compliant patient chatbot with embedding guardrails and expert-in-the-loop evals. Also architected a multi-region patient portal + microservices platform with Terraform/CI-CD and federated gateways, delivering major onboarding automation and strong reliability wins (PgBouncer, chaos/perf testing).”
Kwadwo Poku
Mid-level Full-Stack Software Engineer specializing in FinTech and cloud platforms
“Software engineer who built and launched an end-to-end Ad Scheduler that automated campaign creation across Google Ads and Meta using Azure Functions/Service Bus, PostgreSQL, and a React frontend—reducing manual marketing ops work. Also shipped a production internal RAG chatbot leveraging a data warehouse + Cube semantic layer, Gemini embeddings, vector search, and Claude, with Langfuse tracing and brand-based access controls; work was cut short due to layoffs.”