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Vetted AI & Machine Learning Professionals in Tennessee
Pre-screened and vetted in Tennessee.
Vamsi Reddy
Mid-level AI/ML Engineer specializing in healthcare and financial ML systems
“ML/AI engineer with hands-on experience shipping both predictive healthcare models and clinical GenAI assistants into production. They combine strong MLOps depth across Azure and AWS with healthcare-specific safety thinking, including PHI guardrails, retrieval grounding, and production monitoring, and they also built internal Python tooling for fraud ML workflows at Capital One.”
Senior AI/ML Engineer specializing in conversational AI and healthcare LLM systems
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and real-time AI systems
Senior AI/ML Engineer specializing in Generative AI agents and RAG systems
Mid-level AI/ML Engineer specializing in Generative AI, RAG pipelines, and NLP
Anil Babu Bollina
Senior Computer Vision Engineer specializing in industrial automation and 2D/3D perception
“Machine-vision engineer who designed an end-to-end inline inspection station for white wood pallets, combining laser line profilers with 2D color line-scan imaging to detect protruding nails (~2mm threshold) at conveyor speeds. Solved real production constraints (lighting reflections, per-trigger depth/color alignment, barcode tracking) and improved system accuracy from ~80% to 99.5% using barcode symbology changes and Keyence reader AI features.”
Senior Roboticist specializing in industrial automation and multi-robot systems
Mid-Level Machine Learning & Backend Engineer specializing in computer vision and robotics systems
Mid-level Machine Learning Engineer specializing in Generative AI and robotics
Mid-level AI/ML Engineer specializing in Generative AI for logistics and industrial systems
Prasad Sadineni
Mid-level AI Engineer specializing in LLM fine-tuning, RAG, and agentic systems
“Building and deploying production in-house, domain-specific LLM chatbots for enterprises that cannot use third-party GPT tools due to internal policies. Focused on reducing latency and improving domain awareness using fine-tuning, continual learning, and advanced RAG/agent retrieval strategies, with experience orchestrating multi-agent workflows via LangChain/LlamaIndex and vector DBs (FAISS, Weaviate, Chroma).”