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Vetted Databricks Professionals
Pre-screened and vetted.
YAKKALI PAVAN
Mid-level Machine Learning & Generative AI Engineer specializing in NLP, CV, and RAG systems
“Built and deployed a production LLM-powered RAG document intelligence system used by non-technical enterprise stakeholders, cutting document search time by 40%+ while improving answer consistency. Demonstrates strong MLOps/data workflow orchestration (Airflow, AWS Step Functions, managed schedulers across GCP/Azure) and a metrics-driven approach to reliability, evaluation, and cost/latency optimization with guardrails and observability.”
“Data science/NLP practitioner with experience at NVIDIA and Microsoft building production-grade NLP and data-linking systems. Has delivered high-performing pipelines (e.g., F1 0.92) and large-scale entity resolution (F1 0.89), plus semantic search using embeddings and Pinecone with ~30–40% relevance gains, backed by rigorous validation (A/B tests, ROUGE, MRR) and strong MLOps/workflow tooling (Airflow, Databricks, FastAPI, MLflow, Prometheus/ELK).”
Angel Contreras
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
ALEXANDER SHEYNER
Executive IT & Enterprise Architecture leader specializing in portfolio transformation, data/AI, and M&A
“Fractional CTO supporting early-stage teams in the UAE and Ukraine to build platforms using an "Agentic OS" approach—one focused on reducing friction across patient/provider/payor engagement and another on enforcing transparency for international rebuilding investments to reduce fraud. Also exploring an alternative-energy feedstock plantation opportunity in Armenia with multi-industry downstream revenue potential; has created project-specific investor pitch decks and is actively engaging potential investors.”
Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
Executive Technology Leader (CTO/Principal Engineer) specializing in cloud-native platforms and AI
Mid-level Backend/Distributed Systems Engineer specializing in cloud observability and data ingestion
Director-level Data Engineering Leader specializing in AI/LLM platforms and real-time data systems
Director of AI/ML specializing in edge AI, computer vision, and foundation models
Executive Product & Technology Leader specializing in FinTech, AI/ML, Risk & Digital Transformation
Mid-level Software Engineer specializing in distributed systems, AI, and FinTech
Staff Machine Learning Engineer specializing in LLMs, recommendations, and MLOps
Executive Software Engineering Leader specializing in digital transformation and omnichannel commerce
Senior Data Scientist specializing in GenAI and LLM systems for financial services
Junior AI Prompt Engineer specializing in LLMs, RAG, and conversational AI
Senior Data Scientist specializing in AI/ML platforms for finance and healthcare
Mid-level AI/ML Engineer specializing in LLM RAG pipelines and cloud MLOps
Mid-level Data Scientist/ML Engineer specializing in LLMs, NLP, and recommender systems
Mid-level Machine Learning Engineer specializing in GenAI, forecasting, and MLOps