.png){kind=logo}
Vetted Generative AI Professionals
Pre-screened and vetted.
Staff Software Engineer specializing in enterprise SaaS, AI assistants, and distributed systems
Mid-level Data Engineer specializing in ML, LLM pipelines, and analytics platforms
Junior Software Engineer specializing in cloud platforms, microservices, and AI/ML
Mid-level Machine Learning Engineer specializing in MLOps and scalable ML pipelines
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Junior AI/ML Engineer specializing in LLMs, RAG, and document intelligence
Mid-level AI/ML Engineer specializing in NLP, transformers, and RAG systems
Senior Creative Technologist specializing in XR, interactive installations, and real-time graphics
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-Level Software Development Engineer specializing in AWS serverless and backend APIs
Executive Technology Leader specializing in AI/GenAI platforms and digital transformation
Mid-level Software Development Engineer specializing in backend systems and ML platforms
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Executive Enterprise Architecture & Digital Transformation Leader specializing in AI-driven modernization
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Sharath Nyalakonda
Mid-level AI/ML Engineer specializing in NLP, graph models, and MLOps for FinTech and Healthcare
“AI/ML engineer who has deployed production LLM/transformer-based systems for merchant intelligence and fraud/support optimization, delivering +27% merchant engagement and +18% payment success. Deep experience in privacy-preserving, PCI DSS-compliant data/ML pipelines (Airflow, AWS Glue, Spark, Delta Lake) and scalable microservices on Kubernetes, plus proven cross-functional delivery in healthcare claims analytics at UnitedHealth Group (12% HEDIS claim reduction).”
Justin Turner
Executive Technology Leader (CTO/CIO/CISO) specializing in cloud, security, and data platforms
“CTO-level technology leader with experience building end-to-end tech strategy and roadmaps, modernizing legacy environments in healthcare (GenesisCare), and scaling engineering into large global teams (Amadeus). Built a DevOps organization at Syniverse for the Visibility Suite, implementing Kubernetes/Terraform/Chef automation that drove ~75% faster deployments, and is known for staying hands-on (including data center work) while leading strategically.”