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Vetted Data Engineering Professionals
Pre-screened and vetted.
Senior AI & Cloud Engineer specializing in GenAI and data platforms
Executive IT & Technology Leader specializing in organizational transformation and IT operations
Mid-level Data Scientist & AI Engineer specializing in healthcare and financial risk analytics
Senior Data Science & Machine Learning Engineer specializing in credit risk and predictive analytics
Mid-level Data Scientist specializing in ML, NLP, and production AI workflows
Intern Software Engineer specializing in backend systems, cloud infrastructure, and LLM applications
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Senior ETL/Data Engineer specializing in cloud data platforms and AI/ML-ready pipelines
Senior Data Engineer specializing in Azure, Databricks, and BI/ETL platforms
Executive Engineering Leader specializing in data platforms and SaaS
Senior Data Engineer specializing in cloud data platforms and real-time streaming pipelines
Precious Akinyele
Senior Technical Product Manager specializing in data instrumentation and analytics platforms
“Technical Product Manager with hands-on experience shipping and running live free-to-play games (including Cartoon Network BMX Champions) across web and mobile, with exposure to Roblox and some console. Focuses on data-driven live ops—daily rewards, streaks, push notifications, and limited-time events—paired with A/B testing and funnel/retention analytics to improve engagement and IAP performance.”
Bryan Holland
Executive AI Product & Controls Engineering Leader specializing in agentic video editing and EV systems
“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”
Andres Pegado Boureghida
Engineering executive specializing in cloud-native SaaS for data-intensive, regulated domains
“Former CTO at Enodo who led development of programmatic parsers to extract unstructured data from real-estate financial documents (rent rolls and T12s), validating with users via prototypes before productionizing. Emphasizes accuracy-driven engineering and scalable test-suite growth based on real user samples, and has experience scoping complex product ideas (e.g., browser-based narrative editor) down to an MVP.”
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Mid-level AI/ML Developer specializing in FinTech fraud detection and GenAI assistants
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
Jayeetra Bhattacharjee
Mid-level AI/ML Engineer specializing in LLMs, NLP, and analytics automation
“AI/ML Engineer (TCS) who built and deployed a production LLM-powered audit transaction validation service to reduce manual review of unstructured transaction records and comments. Implemented a LangChain/Python pipeline for extraction/normalization and discrepancy detection, with strong production reliability practices (decision logging, dashboards, labeled eval sets) and a human-in-the-loop auditor feedback loop to improve precision/recall under strict data-sensitivity and near-real-time constraints.”
Vaishnavi Veerkumar
Mid-level AI Engineer specializing in GenAI and RAG systems
“AI engineer who built a production e-commerce system that analyzes product images alongside sales and demographic data to generate actionable creative recommendations, now used by 20+ clients. Also built orchestrated document/agent pipelines (Airflow, LangGraph) including a compliance drift detector auditing 401 compliance documents, with an emphasis on traceability, logging, and production integration.”