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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Thomas Douaihy
Executive CIO/CDO/CTO specializing in digital transformation, data/AI, and cloud modernization
“Operations/process improvement leader with executive experience at Nestlé Purina, applying Lean/value stream mapping to improve IT service response times and user satisfaction. Led the integration of Merrick Pet Food into Purina, addressing scaling constraints by redesigning outdated processes. Also served as a technology mentor to the Purina executive team/CEO to improve decision-making on technology investments.”
Senior Full-Stack AI Engineer specializing in generative AI and cloud platforms
Senior Software Engineer specializing in distributed systems and cloud infrastructure
Senior AI/ML Engineer specializing in LLM systems and FinTech platforms
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Palash Ghosh
Executive Technology & Product Leader specializing in AI-driven SaaS and digital transformation
“Repeat startup co-founder with multiple successful exits and significant fundraising experience (most recent raise $6M USD; prior raise £10M GBP). Interested in roles bridging investors and startups—performing due diligence and evaluating MVPs/USPs to help firms invest in the right companies and support portfolio growth toward exit.”
Staff Software Engineer specializing in Healthcare IT and mobile platforms
Executive Engineering Leader specializing in Agentic AI and Generative AI
Senior Data Scientist / ML Engineer specializing in LLMs, generative AI, and MLOps
Executive Technology Leader specializing in SaaS platforms and Generative AI
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Director-level Product & Business Leader specializing in AI-driven consumer and global growth
Executive CTO and serial founder specializing in AI platforms and Financial Services
Senior Software Engineer specializing in cloud security and identity management
Senior Software Engineer specializing in AI platforms and scalable backend systems
Director-level Strategy & Operations leader specializing in marketplaces, AI, and SaaS growth
Director-level Strategy Consulting Manager specializing in growth strategy and M&A
Abhijay Sai Paladugu
Junior Data Scientist specializing in LLM agents, RAG, and reinforcement learning
“McKinsey practitioner who built and deployed production LLM systems for consultants/clients, including a Power BI-integrated multi-agent chatbot (RAG + text-to-SQL + formatting) with custom Python orchestration, verification loops, and a 100+ case eval set achieving ~95% consistency. Also delivered a taxonomy-mapper agent that standardized inconsistent labeling for C-suite stakeholders, cutting a process from >2 weeks to <30 minutes through demos and business-focused communication.”
Kalyani Chittipolu
Mid-level Data Engineer specializing in AI/ML platforms and cloud data pipelines
“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”