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Vetted AI & Machine Learning Professionals in the Bay Area
Pre-screened and vetted in the Bay Area.
Popular Titles
Aishwarya Thorat
Intern Data Scientist specializing in ML engineering and LLM agentic workflows
“Built an agentic, multi-step LLM system that generates full-stack code for API integrations using LangChain orchestration, Pinecone/SentenceBERT RAG, and a human-in-the-loop feedback loop for iterative code refinement. Also collaborated with non-technical content writers and PMs during a Contentstack internship to deliver a Slack-based AI workflow that generates and brand-checks articles with one-click approvals.”
Shashwat Negi
Mid-level Software Engineer specializing in AI/ML and full-stack systems
“Data Scientist (2–3 years) at ZS Associates who has built and productionized agentic LLM systems, including a LangGraph-based multi-LLM prompt-optimization pipeline for entity extraction deployed as a Spring Boot microservice via Jenkins. Also built an Insightmate.ai chatbot and improved its RAG accuracy by diagnosing vector retrieval issues and implementing HyDE query expansion, while partnering with sales and pharma stakeholders to drive adoption (e.g., Zimmer Biomet platform migration into a multi-year partnership).”
Intern Full-Stack/AI Engineer specializing in LLM applications and RAG systems
Entry-Level Full-Stack Software Engineer specializing in AI/ML and web applications
Senior Data Scientist / AI/ML Engineer specializing in NLP, LLMs, and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, NLP, and computer vision
Mid-level Machine Learning & Generative AI Engineer specializing in healthcare and retail
Intern AI/ML Engineer and Full-Stack Developer specializing in computer vision and cloud systems
Mid-level Applied AI Developer specializing in Generative AI and Python
Mid-level AI Engineer specializing in autonomous agents and AI security
Intern AI Engineer specializing in LLMs, RAG, and graph/vector databases
Junior Full-Stack AI Systems Engineer specializing in agentic AI and RAG pipelines
Junior AI/ML Software Engineer specializing in trustworthy ML and full-stack APIs
Senior Forward Deployed Engineer specializing in LLMs, RAG pipelines, and enterprise AI deployments
Mid-level Machine Learning Engineer specializing in NLP, time-series forecasting, and edge AI
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Mid-level Full-Stack AI Engineer specializing in agentic systems and scalable platforms
Yogita Adari
Mid-level AI Engineer specializing in generative AI, multimodal evaluation, and agentic RAG systems
“Built and productionized an agentic LLM automation system for an insurance client to determine medication eligibility, using prompt-chaining plus a RAG pipeline over policy rules and deploying on AWS (Lambda/Step Functions, Bedrock) with a serverless architecture. Addressed major data/schema mismatch issues via a semantic matching pipeline and validated performance through human agreement scoring, A/B testing, KPI monitoring, and confidence-based human-in-the-loop review.”