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Vetted AI & Machine Learning Professionals in Arizona
Pre-screened and vetted in Arizona.
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents
Junior Machine Learning Engineer specializing in generative modeling and computer vision
Junior Robotics & Controls Engineer specializing in state estimation, simulation, and ROS2
Sangeeth Santhosh
Intern AI/ML Engineer specializing in GenAI pipelines and cloud automation
“Built and productionized a Python/LLM-based pipeline at Catalyst Solutions to automate healthcare RFP processing, turning unstructured documents into validated JSON/Excel with schema validation, confidence scoring, and human-review routing. Delivered major operational impact (hours-to-minutes processing, ~60% efficiency gain; 50+ RFPs processed) and modernized legacy scripts into a staged, more reliable architecture using incremental refactoring and fallback comparisons.”
Mid-level Data Scientist/AI-ML Engineer specializing in LLMs, GenAI, NLP and MLOps
Priyanuj Bordoloi
Junior Data Scientist / ML Engineer specializing in LLMs and Computer Vision
“Currently working in CoRAL Lab, built and deployed IntegrityShield—a document-layer PDF watermarking system that keeps assessments visually identical while disrupting LLM-based solving; validated in a real classroom where it helped catch 12 AI-cheating cases. Also built MALDOC, a modular red-teaming platform for document-processing AI agents using LangGraph to run reproducible, deterministic adversarial trials across OCR/text/vision routes.”
Prateek Sahay
Senior Robotics Software Engineer specializing in autonomous navigation and robotic manipulation
“Robotics software engineer with deep ROS/ROS 2 autonomy experience across warehouse fleets (Knapp delivery robots and quadrupeds), spanning SLAM, EKF-based sensor fusion localization, Nav2, and behavior-tree mission orchestration. Built a simulation-first testing approach using Isaac Sim Replicator with Dockerized, statistically analyzed repeat runs to catch nondeterminism, and personally owned real-world validation. Also developed a custom UR10 singularity-check ROS node based on manipulability.”
Junior Machine Learning Engineer specializing in robotics and remote sensing
Junior AI Engineer specializing in AWS GenAI and ML systems
Alfred Fox
Senior AI/ML & Full-Stack Engineer specializing in GenAI, RAG, and MLOps platforms
“Backend/data platform engineer who owned end-to-end production services for a fleet analytics/GenAI platform, spanning FastAPI microservices on Kubernetes and AWS (EKS + Lambda) event-driven workloads. Strong in reliability/observability (OpenTelemetry, circuit breakers, idempotency), data pipelines (Glue/Airflow/Snowflake), and measurable performance/cost wins (SQL 10s to <800ms P95; ~30% compute cost reduction).”
Mid-level Robotics Research Engineer specializing in autonomous systems and reinforcement learning
Senior Machine Learning Engineer specializing in low-latency ML systems and AdTech optimization
Mid-level Full-Stack & AI Engineer specializing in data platforms and LLM applications
Mid-level Machine Learning Engineer specializing in LLM, RAG, and conversational AI systems
Mid-level Machine Learning & AI Engineer specializing in LLMOps, digital twins, and RL
DHYAN PATEL
Mid-level AI Engineer specializing in NLP and production ML systems
“AI/LLM engineer who has shipped production RAG chatbots using LangChain/OpenAI with FAISS and FastAPI, focusing on real-world constraints like context windows, concurrency, and latency (reported ~40% latency reduction and <2s average response). Experienced orchestrating AI pipelines with Celery and fault-tolerant long-running workflows with Temporal, and has applied NLP model tradeoff testing (Word2Vec vs BERT) to drive measurable accuracy gains.”
Aditya Sharma
Intern Machine Learning Engineer specializing in deep learning and LLM systems
“Built and shipped a personal LLM-powered news aggregation platform (Clear Brief) that scrapes ~200 articles per cycle, clusters them into ~15–30 consolidated stories, and supports on-demand deep dives via a Next.js API route. Emphasizes production-minded reliability (token/cost controls, timeouts, graceful frontend degradation) and database-backed orchestration using SQLite with retry + exponential backoff for burst processing.”
Mid-level Full-Stack Developer specializing in AI and FinTech web platforms
Mid-level Machine Learning Engineer specializing in data and MLOps systems
Junior Backend & ML Engineer specializing in distributed systems and MLOps