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Vetted Data Engineering Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps
Mid-level Data Scientist specializing in deep learning, NLP, and time-series forecasting
Mid-level Generative AI/ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI and LLMOps
Junior Data & BI Analyst specializing in analytics engineering, NLP, and financial risk analytics
Junior AI/ML Engineer specializing in Generative AI production systems
Intern AI/ML Engineer specializing in NLP, graph analytics, and agentic RAG systems
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Senior Software Engineer specializing in backend ML and Generative AI platforms
Executive Fractional CTO specializing in multi-cloud, data platforms, and AI/ML architectures
Pavan Sai Reddy Pendry
Junior AI/ML Engineer specializing in GenAI, RAG, and full-stack ML systems
“Built a university campus assistant chatbot (BabyJ/WWJ) using RAG and agentic routing with a FastAPI + React stack and JWT auth, focusing heavily on production concerns like latency and reliability. Uses techniques like speculative prefetching, smart intent routing, and rigorous eval/testing (golden sets, regression, edge cases) while collaborating closely with campus admin/advising teams to iterate based on real user feedback.”
“LLM/RAG engineer at Connex AI who built and deployed a production healthcare agent to extract clinical insights from medical data/notes. Strong focus on real-world reliability—hallucination mitigation (citations, schema validation, confidence thresholds, rejection logic), custom LangChain orchestration (query rewriting, fallback paths), and production evaluation/observability—while collaborating closely with clinical SMEs to ensure clinical fit and time savings.”
“Full-stack engineer with deep startup experience (pre-seed through IPO/SPAC) currently building a Next.js/TypeScript SaaS sports analytics platform with a complex Postgres-based entitlement/ACL system. Has delivered measurable UX/business impact (35% retention lift, 40% volume increase) and built production-grade daily ETL + model training/inference workflows with validation and checkpointing for reliability.”
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Mid-level Full-Stack Software Engineer specializing in AI, data pipelines, and cloud-native apps
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Junior AI/ML Engineer specializing in LLMs, automation, and backend data pipelines
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP