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Vetted AI & Machine Learning Professionals
Pre-screened and vetted.
Popular Titles
Shon Michaelu
Mid-Level Gameplay & AI Systems Engineer specializing in Unreal Engine combat and NPC AI
Evelyn Rodriguez
Mid-level Web Developer specializing in WordPress, React, and AI evaluation
Keerthana Medarametla
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Marc Wolpert
Entry-Level Software Engineer specializing in full-stack JavaScript and machine learning
Darsh Joshi
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Radhakrishna Revanth Boddupalli
Mid-level Generative AI Engineer specializing in LLMs, RAG, and prompt engineering
Venkata Sai Krishna Gade
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
David Saucier
Mid-level Software Developer specializing in C++ and Unreal Engine AI systems
Pranjal Kamboj
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Rutvik Gadhiya
Mid-level AI/ML Engineer specializing in NLP, LLMs, RAG, and MLOps
Michael Kydd
Junior Full-Stack Software Developer specializing in React/Next.js and Node.js
Anand Kamble
Junior AI Engineer specializing in LLM systems and RAG
Patoliya Viral
Mid-level Generative AI Engineer specializing in LLMs, RAG, and agentic systems
Russell Elliott
Junior Full-Stack Developer specializing in AI integrations and LLM research
Rohith Perumandla
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Lokesh Chaganti
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Amey Dabhade
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Aniket Patel
Junior AI/ML Researcher specializing in deep learning, computer vision, and LLM applications
Abhishek Kandi
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Iaroslav Kuznetsov
Mid-level Machine Learning Engineer specializing in AdTech and scalable data systems
“Built and scaled an internal AI code-search/assistant agent that expanded from engineering-only to broader internal users, tackling legacy code and inconsistent standards to make a RAG pipeline production-ready. Uses a metrics-driven approach (user feedback + automated Python evaluation for retrieval relevance and latency) and has handled high-pressure outages, including moving parts of the stack off AWS and adopting Milvus on internal infrastructure for resilience.”
Muhammad Murtaza Murtaza
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”