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Vetted Data Transformation Professionals
Pre-screened and vetted.
Senior Backend Engineer specializing in Python microservices and cloud platforms
Senior Backend Engineer specializing in AWS serverless platforms for FinTech and Healthcare
Mid-level Software Engineer specializing in backend systems, cloud platforms, and AI services
Mid-level Data Scientist specializing in NLP, risk analytics, and MLOps
Mid-level Data Engineer specializing in cloud-native ETL/ELT and Snowflake analytics platforms
Mid-level Data Engineer specializing in cloud data pipelines and analytics (AWS/Azure)
Mid-level Data Engineer specializing in big data pipelines and cloud data platforms
Mid-level Healthcare Data Analyst specializing in claims, EHR, and population health
Junior Software Engineer specializing in backend systems and logistics data pipelines
Mid-level AI Engineer specializing in machine learning and generative AI
Mid-level Data Scientist specializing in ML, NLP, and LLM-powered analytics
Likitha Kukunarapu
Mid-level Applied AI Engineer specializing in data engineering and healthcare AI
“Built production LLM agents spanning document Q&A, financial insight generation, and ERP-like operational data workflows, with a strong focus on reliability, grounding, and evaluation. Stands out for translating LLM systems into measurable business outcomes, including 70%–80% support workload reduction and a fallback-rate improvement from 18% to 8% through targeted RAG iteration.”
Uriel Kluk
Executive CTO specializing in AI, data platforms, and distributed systems
“Former CTO of Mesh Systems for 20 years, now going all-in on building a physical AI product company. He is simultaneously designing four products across eldercare, smart home monitoring, retail theft prevention, and AI-powered building access, with active industry partnerships (Advantech, Compulab) and a potential LATAM pharmacy pilot.”
Deepika Chudi
Mid-level Full-Stack Engineer specializing in React, TypeScript, and Spring Boot
“Full-stack engineer with strong Next.js App Router/TypeScript experience who built production dataset search/filtering and data-heavy dashboards backed by Postgres. Demonstrates hands-on performance work across the stack (EXPLAIN ANALYZE, composite indexes, caching, React profiling/memoization) and has built durable, Temporal-like orchestrated data-processing workflows with idempotency and retry strategies in an early-stage startup environment (Gaia AI).”
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Divya Ganapala
Mid-level Data Scientist specializing in cloud ML, MLOps, and predictive analytics
“NLP/ML engineer with hands-on healthcare and support-ticket text experience, building clinical-note structuring and semantic linking systems using spaCy, BERT clinical embeddings, and FAISS. Emphasizes production-grade delivery (Airflow/Databricks, PySpark, Docker, AWS/FastAPI/Lambda) and rigorous validation via clinician-labeled datasets, retrieval metrics, and user feedback.”