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Vetted Web Scraping Professionals
Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in cloud-native web apps and AI search
Senior AI Product Manager specializing in data-intensive LLM-enabled workflows
Senior Data Scientist specializing in ML pipelines and LLM applications
Mid-level Data Engineer specializing in large-scale pipelines and LLM-based metadata enrichment
Mid-level Full-Stack Engineer specializing in cloud-native and Generative AI systems
Mid-level AI/ML Engineer specializing in Generative AI, multi-agent RAG, and FastAPI backends
Junior Java/Full-Stack Developer specializing in Spring and cloud-native applications
Senior Software Engineer specializing in FinTech backend and data systems
Mid-level Full-Stack Software Engineer specializing in .NET and AI-powered web apps
Mid-level Full-Stack Engineer specializing in cloud-native web apps and FinTech systems
Senior Full-Stack & AI Engineer specializing in Python, React, and LLM/RAG systems
Director-level Applied ML Engineer specializing in GenAI, LLM systems, and MLOps
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Junior AI/ML Engineer specializing in LLM applications, RAG, and multimodal computer vision
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.”