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Vetted Natural Language Processing Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in LLMs, NLP, and anomaly detection
Senior AI/ML Engineer specializing in Generative AI and Computer Vision
Senior Data Engineer specializing in Cloud Data Platforms and Generative AI
Intern AI/Backend Engineer specializing in LLM agents and cloud microservices
Mid-Level Backend Software Engineer specializing in distributed systems and observability
Junior Full-Stack/Cloud Engineer specializing in AI and data-driven applications
Mid-level AI/ML Product & Solutions Specialist specializing in GenAI and MLOps
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Principal Data Scientist specializing in AI/ML forecasting and MLOps
Senior AI/ML Engineer specializing in LLMs and enterprise conversational AI
Senior Software Engineer specializing in backend systems and data engineering
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Adithya Rajendra
Junior Data Engineer specializing in Azure data platforms and GenAI analytics
“Data/ML practitioner with experience spanning medical imaging (retinal vessel analysis for hypertension/CVD risk prediction) and enterprise data engineering at Carl Zeiss. Built large-scale SAP data cleaning/validation pipelines (10M+ daily records, ~99% accuracy) and RAG-based semantic search with LangChain/vector DBs that cut manual querying by 82%, plus automation that reduced data onboarding from 8 hours to 12 minutes.”
Johnnie Sanders
Executive AI Architect specializing in enterprise cloud and FinTech solutions
“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”
Sanya Dod
Junior Software Engineer specializing in AI/ML and verification
“Embedded/real-time robotics-style engineer with hands-on STM32 development, sensor integration, and low-level drivers, focused on deterministic control behavior. Demonstrated systematic debugging of jitter/latency by instrumenting the sensing-to-actuation pipeline and eliminating blocking via interrupts, hardware timers, and DMA; also designs asynchronous, message-based interfaces for distributed real-time components. Familiar with ROS/ROS2 concepts (nodes/topics/callbacks) though not yet deployed a full production ROS system.”