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Vetted Data Engineering Professionals
Pre-screened and vetted.
Executive CTO specializing in AI/ML, healthcare SaaS, and regulated cloud platforms
Senior Full-Stack Software Engineer specializing in AI-first architectures and LLM/RAG systems
Intern Software Engineer specializing in AI/ML and cloud data pipelines
Senior Full-Stack Engineer specializing in cloud-native microservices, data engineering, and GenAI
Senior Backend Engineer specializing in AWS serverless platforms for FinTech and Healthcare
Senior Data Scientist specializing in GenAI, MLOps, and cloud data platforms
Mid-level Data Analyst specializing in financial and healthcare analytics
Mid-level Software Engineer specializing in GenAI, RAG, and distributed systems
Executive Software Engineering Leader specializing in scalable SaaS and distributed systems
Mid-level Machine Learning Engineer specializing in healthcare risk prediction and GenAI
Mid-level Machine Learning Engineer specializing in forecasting, NLP, and MLOps
Mid-level Machine Learning Engineer specializing in Generative AI, NLP, and recommender systems
Mid-level Machine Learning Engineer specializing in MLOps and LLM/RAG systems
Mid-level Full-Stack Java Developer specializing in cloud microservices and React
Mid-level Data Engineer specializing in cloud data platforms and BI analytics
Senior AI/ML Engineer specializing in MLOps and Generative AI (LLMs/RAG)
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Venkata Siva Sai Prathyush Kolli
Intern Robotics Software Engineer specializing in ROS2 multi-robot autonomy
“Robotics intern at the University of Delaware who built and debugged ROS2-based multi-robot coordination systems, focusing on real-time reliability (timestamp alignment, latency/jitter instrumentation, QoS/executor tuning). Also improved SLAM stability by fixing LiDAR/encoder synchronization and tuning state-estimation parameters, with a simulation-first workflow using Gazebo and Docker/CI for reproducible deployments.”