.png){kind=logo}
Vetted Prompt Engineering Professionals
Pre-screened and vetted.
Mid-level Data Analyst specializing in ML, AI, and data visualization
Senior AI/ML & Data Science professional specializing in NLP, LLMs, and MLOps
Mid-level Machine Learning Engineer specializing in MLOps and healthcare analytics
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Junior Data Scientist / ML Engineer specializing in applied ML, data pipelines, and full-stack systems
Junior Full-Stack/DevOps Engineer specializing in AWS, Kubernetes, and AI model evaluation
Mid-level Data Scientist / ML Engineer specializing in NLP, GenAI, and cloud ML deployment
Junior Full-Stack & ML Engineer specializing in AI products and real-time systems
Senior Full-Stack Engineer specializing in React, Java/Spring Boot, and Python microservices
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Senior AI Python Engineer specializing in Generative AI and MLOps
Chris Harry Patrick
Mid-level AI/ML Engineer specializing in healthcare, risk modeling, and MLOps
“Robotics software engineer who built a ROS Noetic-based perception-to-control stack for a pick-and-place robotic arm, integrating OpenCV/TensorFlow vision with motion planning and PID tuning. Demonstrated strong real-time debugging skills (rosbag, queue/latency fixes) and experience deploying reproducible robotics environments with Gazebo simulation, Docker, and GitLab CI.”
Asvad Shaik
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and NLP
“Backend engineer who built and migrated a large-scale document intelligence platform used by legal, healthcare, and insurance clients, processing millions of pages. Experienced moving from a monolithic, LLM-heavy approach to a modular FastAPI service architecture with ML classification + RAG, strong validation/auditability, and enterprise security (JWT/OAuth, RBAC, PostgreSQL RLS) with zero-downtime incremental rollouts.”
vedavathi thumula
Mid-level GenAI/ML Engineer specializing in agentic AI and RAG systems
“Backend/platform engineer who has owned a Python/FastAPI results API and deployed it on Kubernetes with Helm and GitHub Actions-driven CI/CD. Demonstrates strong production operations mindset across performance tuning, monitoring, safe rollouts/rollbacks, and phased migrations, plus hands-on Kafka streaming experience focused on ordering and idempotency.”
Mohana Satyanarayana Moganti
Mid-Level Software Engineer specializing in Cloud Infrastructure and Full-Stack Platforms
“Built and shipped a production LLM-powered grading platform that automates rubric-aligned scoring and feedback, with strong guardrails (RAG grounding, structured JSON, validation/retries) and operational rigor (metrics, drift monitoring). Experienced using CrewAI to orchestrate multi-agent workflows end-to-end and validating quality via gold-set benchmarking against human graders with regression testing on every prompt/model change.”