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Vetted Clustering Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in cloud ETL/ELT and data warehousing
Mid-level AI/ML Engineer specializing in healthcare analytics and generative AI
Senior Data Engineer/Data Scientist specializing in ML platforms, cloud data, and blockchain analytics
Mid-level Machine Learning Engineer specializing in MLOps, GenAI RAG, and computer vision
Senior AIX/Linux Engineer specializing in IBM Power Systems, PowerVM, and High Availability
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Junior AI Engineer specializing in LLMs, enterprise automation, and bioinformatics
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-level Data Science & AI/ML Engineer specializing in MLOps, NLP, and computer vision
Junior Machine Learning Software Engineer specializing in cloud-deployed predictive models
Mid-level AI Engineer specializing in retail personalization and LLM-powered systems
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Mid-level Machine Learning Engineer specializing in healthcare and enterprise analytics
Ravali Yerrapothu
Senior Machine Learning Engineer specializing in LLMs, RAG, and Computer Vision
“Built a production LLM-powered clinical note summarization and retrieval system that structures patient/provider/payer discussions into standardized outputs (symptoms, treatments, clinical codes, and prior-auth decisions) and stores notes as embeddings for hybrid search and proactive prior-authorization prediction. Experienced with LangChain/LangGraph orchestration, RAG, and grounding against medical code databases, and has communicated model feasibility/limitations to business stakeholders (Virtusa/Comcast).”
Sachin Kulkarni
Mid-level AI/ML Engineer specializing in LLMs, NLP, and AWS MLOps
“Recent master’s graduate in robotics with applied experience across reinforcement learning and ROS 2 autonomy stacks. Built an RL-based drone vertiport traffic controller (PPO) focused on reward design and simulation integration, and has hands-on navigation work in ROS 2 including LiDAR preprocessing, SLAM/path planning, and stabilizing TurtleBot3 wall-following. Also brings deployment experience containerizing robotics nodes and scaling them with Kubernetes on AWS.”
Diana Minine Gudinho
Mid-level Data Scientist specializing in GenAI, RAG, and forecasting
“ML/NLP engineer focused on large-scale data linking for e-commerce-style catalogs and customer records, combining transformer embeddings (BERT/Sentence-BERT), NER, and FAISS-based vector search. Has delivered measurable lifts (e.g., +30% matching accuracy, Precision@10 62%→84%) and built production-grade, scalable pipelines in Airflow/PySpark with strong data quality and schema-drift handling.”