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Vetted Machine Learning Professionals
Pre-screened and vetted.
Junior Software Developer specializing in Java and web development
Mid-level Full-Stack Software Engineer specializing in real-time web apps and cloud backends
Junior Software Developer specializing in full-stack and data engineering
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Mid-level Full-Stack Developer specializing in cloud-native web apps and microservices
Mid-Level Software Engineer specializing in ML and Generative AI applications
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Intern Software Engineer specializing in AI-driven web applications
Senior Full-Stack Developer specializing in MERN, cloud platforms, and LLM-powered applications
Intern Full-Stack Software Engineer specializing in cloud, microservices, and ML/NLP
Mid-Level Software Engineer specializing in cloud microservices and AI automation
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior VR/AR Software Engineer specializing in graphics, OpenXR, and computer vision
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Executive Fractional CTO specializing in multi-cloud, data platforms, and AI/ML architectures
Avni Tripathi
Mid-level Data Scientist specializing in NLP, RAG, and information retrieval for RegTech
“Built and deployed a production document Q&A/research platform that combines semantic search (vector DB embeddings) with structured knowledge-graph querying to reduce analyst research time. Used in high-stakes domains like Politically Exposed Person profiling and extracting critical information from ESG/regulatory documents, with a human-in-the-loop evaluation process (precision@k and source-text highlighting) to ensure accuracy.”
Affan Ahmed
Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI
“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”