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Vetted Large Language Models (LLMs) Professionals
Pre-screened and vetted.
Mid-level Full-Stack Software Engineer specializing in distributed systems and cloud platforms
Senior Full-Stack AI Engineer specializing in LLMs, RAG, and healthcare AI
Staff Software Engineer specializing in full-stack platforms and cloud-native microservices
Senior Data Engineer specializing in cloud lakehouse platforms and healthcare data
Mid-level Software Engineer specializing in AWS serverless and AI support automation
Senior AI/ML Engineer specializing in Generative AI and conversational systems
Senior Machine Learning Engineer specializing in MLOps and GenAI platforms
Principal Full-Stack Engineer specializing in AI platforms and enterprise systems
Senior AI/ML Engineer specializing in ML infrastructure and conversational AI
Mid-level Full-Stack Engineer specializing in cloud-native FinTech systems
Executive Founder/CEO specializing in AI platforms for healthcare and enterprise automation
Senior Data Scientist specializing in GenAI, LLMs, and Analytics Engineering
Junior AI Engineer specializing in enterprise LLM and FinTech systems
Executive technology leader specializing in AI, cloud, and healthcare transformation
Principal Enterprise Architect specializing in cloud modernization for financial services
Vighanesh Sharma
Mid-level Software Engineer specializing in cloud-native platforms and healthcare systems
“Backend engineer with healthcare-domain experience building a security-critical RBAC identity/authentication/authorization microservice suite used across hospital imaging platforms (X-Ray, Ultrasound, etc.). Demonstrates strong security mindset (mTLS, cert hygiene, JWT, pen-testing collaboration) and pragmatic scaling/reliability practices (Nginx load balancing, Redis caching, automated tests, canary rollouts).”
Ashutosh Choudhari
Mid-level AI/ML Engineer specializing in LLM applications and cloud-native systems
“LLM engineer who has shipped production AI systems, including an RFP requirements extraction platform (OpenAI o4-mini + Azure AI Search + FastAPI) achieving 90%+ accuracy and ~5x throughput through grounding, structured outputs, parallelization, and caching. Also partnered with legal/compliance stakeholders at Nexteer Automotive to deliver an AI document comparison tool with traceability and confidence indicators, adopted by non-technical users and saving ~2 FTEs of review time.”
Vyas Cholayil
Mid-Level Software Engineer specializing in Python automation, DevOps, and microservices
“Backend-focused engineer who built an internal wiki LLM chatbot end-to-end using FastAPI, Kubernetes, and ChromaDB vector search, including frontend integration. Also has strong DevOps/migration experience—automating large work-item and repo migrations (Jira/FogBugz/ADO on-prem to cloud) via Python scripts, JSON mappings, REST APIs, and validation test suites.”