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Vetted Machine Learning Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI-driven full-stack systems
Senior Backend Software Engineer specializing in FinTech and distributed systems
Mid-level Full-Stack Software Engineer specializing in healthcare and AI applications
Mid-level AI Engineer specializing in machine learning and generative AI
Junior consultant and founder specializing in AI, automation, and FinTech
Executive Product Leader specializing in FinTech, HealthTech, and AI innovation
Principal Full-Stack Engineer specializing in Healthcare IT and FinTech
Junior Data Engineer and Full-Stack Developer specializing in AI and data platforms
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Applied AI Engineer specializing in Generative AI and RAG systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Executive Product & Engineering Leader specializing in AI/ML and e-commerce platforms
Mid-Level Full-Stack Software Engineer specializing in cloud and kiosk applications
Senior Full-Stack Software Engineer specializing in cloud, microservices, and AI
Mid-Level .NET Full-Stack Developer specializing in Azure cloud and SPA development
Senior Data Strategy & AI Product Consultant specializing in analytics platforms and privacy-safe measurement
Tushar Jayendra Mhatre
Intern Data Scientist/ML Engineer specializing in generative AI and ML platforms
“AI Engineering Intern at The Etherloop building the backend for a healthcare lifestyle recommendation app, including a multi-agent RAG-based system that uses curated SME data plus web search to generate personalized supplement recommendations from user lifestyle details and blood biomarkers. Evaluates against 500+ SME ground-truth profiles with ranking metrics and focuses on HIPAA-aligned deployment, privacy/security, and guardrails to reduce hallucinations and unsafe outputs.”
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”