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Vetted AI & Machine Learning Professionals
Pre-screened and vetted.
Popular Titles
Junior AI Engineer specializing in RAG systems and full-stack development
Mid-Level Machine Learning Engineer specializing in LLMs and RAG systems
Junior AI/ML Engineer specializing in RAG and multi-agent LLM systems
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Mid-level AI/ML Engineer specializing in MLOps, streaming data, and NLP/CV
Intern Robotics Engineer specializing in ML, SLAM, and robot manipulation
Mid-level Data Analyst specializing in marketing analytics and machine learning
Mid-level Applied AI Engineer specializing in LLM agents and RAG systems
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise analytics
Mid-level AI/ML Engineer specializing in GenAI, RAG, and multi-agent LLM systems
Mid-level Full-Stack AI Engineer specializing in agentic RAG and LLM fine-tuning
Senior AI/Software Engineer specializing in cloud security and AI-powered applications
Mid-level AI/ML Engineer specializing in fraud detection and enterprise ML systems
sathwik kuchana
Mid-level AI Engineer specializing in Generative AI, LLMs, and RAG on AWS
“Built and deployed an LLM-powered clinical decision support and risk monitoring platform for mental health at Valuai.io, emphasizing low-latency, evidence-grounded responses and crisis-safe behavior with clinician escalation. Strong production agent-orchestration background (LangChain/CrewAI) plus rigorous evaluation (clinician-in-the-loop + evaluator agent) and large-scale synthetic testing; also applied multi-agent workflows to document verification and fraud detection during an AI internship at Nixacom.”
DhanushKautilya Kammaripalle
Junior AI Integration Engineer specializing in LLM agents and RAG on cloud platforms
“Built and deployed LLM-powered features for a startup organizational management application, focusing on real-world deployment constraints like latency and cost. Implemented RAG with FAISS and improved retrieval quality by switching embedding models (OpenAI/Hugging Face) and fine-tuning embeddings on medical corpora for a medical-report UI feature. Uses LangChain and LangGraph to orchestrate multi-node LLM API workflows and evaluates systems with metrics like latency, cost per request, and error taxonomy.”
Vikesh Patel
Senior AI/ML Engineer & Data Scientist specializing in LLMs, RAG, and MLOps
“ML/NLP practitioner who has delivered production systems in regulated domains, including a healthcare compliance pipeline using RAG (GPT-4/Claude) plus TF-IDF retrieval that increased document review throughput 4.5x. Also has hands-on experience improving fraud detection data quality via entity resolution (Levenshtein, Dedupe.py) validated with A/B testing, and building scalable, monitored workflows with Airflow, CI/CD, and AWS SageMaker.”