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Vetted Data Structures and Algorithms Professionals
Pre-screened and vetted.
Intern Data Scientist specializing in LLMs, RAG, and computer vision
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI/LLM systems
Mid-Level Backend Software Engineer specializing in workflow automation and cloud microservices
Intern Embedded Systems & ML Engineer specializing in IoT diagnostics and applied deep learning
Junior Machine Learning Engineer specializing in LLMOps and computer vision for healthcare
Senior Full-Stack Software Developer specializing in microservices and FinTech
Mid-level Backend/Cloud Software Engineer specializing in Java, AWS, and microservices
AI/ML Software Engineer specializing in LLM agents and distributed systems
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML systems
Mid-Level Software Engineer specializing in full-stack, cloud, and LLM systems
Junior Software Engineer and Data Scientist specializing in data platforms and LLM applications
Mid-level Full-Stack Developer specializing in cloud-native web applications
Senior Software Engineer specializing in cloud-native microservices and real-time data processing
Mid-Level Software Engineer specializing in cloud-native microservices and GenAI automation
Mid-Level Software Developer specializing in test automation and AI tooling
Senior Machine Learning Engineer specializing in Generative AI and LLM systems
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
mohannaik M
Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms
“Open-source JavaScript library contributor/maintainer focused on performance and usability—uses profiling and user feedback to optimize large-dataset processing and modernize abstractions. Refactored a nested-callback event handling system into an observer-pattern dispatcher with batched event queues, reducing CPU usage and improving maintainability; also handles community-reported crashes by reproducing issues, fixing memory leaks, and updating docs.”