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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Yash Vishe
Junior Software Engineer specializing in LLM systems, data engineering, and ML
“Backend/ML systems engineer with experience at SDSC, UCSD, and Media.net, building production semantic dataset/model discovery using embeddings + Solr KNN and LLM-based intent/reranking at 5M+ dataset scale. Emphasizes offline/online separation for predictable serving, has delivered measurable gains (23% retrieval accuracy, 38% latency reduction) and helped secure a $3M+ NSF grant.”
Sayuj Shah
Mid-level Data Analyst & AI Practitioner specializing in ML, LLMs, and analytics platforms
“Data Analyst at U.S. Cellular who built production LLM solutions, including a Tableau-embedded chatbot that converts natural language questions into Oracle SQL and returns actionable KPI insights for non-technical users. Also authored MAD-CTI, a multi-agent LLM system for dark web hacker forum threat intelligence (published in IEEE Access) that outperformed single-agent approaches by 14%.”
Executive Engineering Leader (SVP/CTO) specializing in Clinical AI & Healthcare Platforms
Senior Full-Stack Java Engineer specializing in cloud-native microservices and FinTech integrations
Mid-Level Software Engineer specializing in cloud-native backend and LLM/RAG systems
Intern Software Engineer specializing in cloud infrastructure and distributed systems
Senior DevOps & Cloud Infrastructure Engineering Manager specializing in multi-cloud operations
Junior Software Engineer specializing in full-stack web and Android development
Senior Software Engineer specializing in backend microservices and AI/ML integrations
Intern AI/Data Science Engineer specializing in LLM agents, data engineering, and predictive analytics
Staff Software Engineer/Manager specializing in Generative AI and enterprise platforms
Senior Software Engineer specializing in cloud-native backend, ETL, and AI/ML on AWS
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and RAG for financial services
Mid-level Full-Stack Engineer specializing in Python, FastAPI, and cloud-native systems
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Mid-level Software Engineer specializing in AI, data engineering, and cloud systems
Principal Data Scientist specializing in LLMs, RAG, and enterprise AI products
Hrishikesh Gawde
Mid-Level Software Engineer specializing in AI/LLM systems and Azure backend platforms
“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.”
Jitesh Sharma
Mid-level Growth Marketing Manager specializing in performance creative and marketing analytics
“Paid social creative lead with experience across major consumer brands (Duracell, Amazon Groceries, Puma) and Gen Z-focused retail, owning end-to-end creative strategy from concept/briefing and UGC direction through QA and delivery. Known for contextual, seasonally-timed campaigns and performance-driven iteration (CPA/ROAS, funnel drop-offs), including a Duracell Meta campaign that reached 20M+ views and sustained engagement gains via creator feedback loops.”