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Vetted Vector Databases Professionals
Pre-screened and vetted.
Mid-level Machine Learning Engineer specializing in Generative AI and LLM applications
Principal/Staff Engineer specializing in platform architecture, AI/ML, and distributed systems
Senior AI Product Manager specializing in GenAI platforms and agentic commerce
Abhinav Bandaru
Junior Data Scientist specializing in Generative AI and agentic LLM systems
“LLM/agentic-systems builder who has shipped production tools for investment research and procurement insights, including a company screener that processes thousands of conference-listed companies using FireCrawl + Google Search + Gemini. Demonstrates strong orchestration expertise (LangGraph multi-agent graphs), performance optimization (async/batching to sub-30s), and pragmatic reliability/evaluation practices with stakeholder-friendly UX (real-time cost tracking and model/parameter toggles).”
Eddy Sadat
Senior Full-Stack Engineer specializing in SaaS, Healthcare IT, and FinTech
“Engineer with startup experience spanning fintech and B2B SaaS, from Playd during rapid growth to Clarity’s AI-powered contract review platform. Particularly strong in React/TypeScript product development for complex, data-heavy workflows used by accountants and finance teams, with supporting experience in Node, Postgres, AWS, and production database design.”
Sason Torosean
Principal Data Scientist specializing in financial risk, forecasting, and applied ML
“ML/NLP practitioner and technical founder who built an AUP risk-scoring model at Bill.com using TF-IDF + SVD features with XGBoost, and previously created automated data-quality guardrails for a Global Equity Risk stacked ML model at Thomson Reuters. Recently built a RAG-based chatbot for PaymentJock’s Home Affordability Probability product using embeddings and a local vector database (FAISS/Chroma), improving answer quality through chunking rather than expensive fine-tuning.”
Subhash Mothukuru
Mid-level Machine Learning Engineer specializing in LLMs, generative AI, and MLOps
“Built and shipped a production LLM-powered medical scribe that generates structured clinical visit summaries using RAG, strict JSON schemas, and post-generation validation to reduce hallucinations. Experienced in making LLM workflows deterministic and observable (structured logging/metrics/tracing) and in evaluation-driven iteration with metrics like schema pass rate and edit rate; collaborated closely with clinicians and policy stakeholders at Scale AI to drive adoption.”
Intern Software Engineer specializing in AI agents, RAG, and full-stack web development
Senior Full-Stack & AI Engineer specializing in LLM applications and cloud platforms
Senior Software Engineer specializing in AI orchestration and backend systems
Intern Software Engineer specializing in full-stack web development and AI/ML
Mid-level Software Engineer specializing in Python backend and ML infrastructure
Intern Machine Learning Engineer specializing in NLP and search
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Mid-level Machine Learning Engineer specializing in MLOps and cloud-native ML systems
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Senior Full-Stack & AI/ML Engineer specializing in LLM and cloud-native platforms
Staff Full-Stack Engineer specializing in cloud microservices and AI-enabled platforms
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Senior Full-Stack AI Engineer specializing in cloud-native and enterprise AI systems