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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Principal Data Scientist specializing in Generative AI and MLOps
Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps
Staff Software Engineer specializing in cloud, networking, and distributed systems
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise AI
Junior Software Engineer specializing in cloud infrastructure and AI systems
Mid-level Robotics & AI Researcher specializing in embodied AI and human-robot interaction
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Executive Technology Leader specializing in AI/GenAI platforms and digital transformation
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Senior AI Infrastructure & Backend Engineer specializing in LLM systems
Alexander Smith
Junior Software Engineer and Data Scientist specializing in AI/ML systems
“Built production-grade automation and ML/data pipelines at Dun & Bradstreet and ThreadNotion, spanning large-scale document classification, country risk report automation, and resilient Playwright testing for dynamic AI chat workflows. Particularly strong in turning brittle or ambiguous systems into reliable, observable, end-to-end automated platforms.”
Ruturaj Ghatage
Junior Software Engineer specializing in full-stack, cloud infrastructure, and applied AI
“Master’s student at UC San Diego who built an LLM-powered healthcare chatbot for patient history-taking and sepsis-related output, using a Node.js backend integrated with FastAPI for RAG/LLM interactions and a Flutter client. Also has healthcare AI startup experience deploying on AWS (ECS/Terraform/Docker) and implementing Kubernetes autoscaling to improve efficiency and reduce costs, with strong iterative evaluation in collaboration with a physician.”
Aditi Chowdhuri
Mid-level Software Engineer specializing in full-stack development and AI
“Frontend developer/designer who built an in-house real estate dashboard for Okhara & Company, owning the flow from Figma design through React implementation and production iteration. Worked in a small team environment, focused on turning complex backend outputs into usable, polished interfaces with responsive design, PWA support, and performance optimizations.”
Sairaghav Nissankula
Senior AI/ML Engineer specializing in LLMs, NLP, and enterprise conversational AI
“ML/GenAI engineer with strong end-to-end production ownership across predictive ML, RAG systems, and LLM routing. They pair solid platform engineering skills with measurable business impact, including 15% churn reduction, 35% support ticket deflection, 45% GenAI cost savings, and a shared inference library that cut deployment time from weeks to days.”
Guruprasad Parasnis
Junior AI/Data Engineer specializing in LLM systems and computer vision
“AI-native software engineer who uses agentic development as a core workflow, including a three-agent setup for planning, validation, and implementation. In their most recent role, they acted as the lead orchestrator for AI agents, with a strong emphasis on production safety, architectural control, and rigorous validation.”
Shubham Singh
Mid-level AI/ML Engineer specializing in speech, computer vision, and agentic GenAI
“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”