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Vetted Data Transformation Professionals
Pre-screened and vetted.
Junior Business Analyst specializing in operations strategy and marketing analytics
Mid-level Software Engineer specializing in backend, cloud-native data platforms, and ETL
Mid-Level Full-Stack Software Development Engineer specializing in AWS data pipelines
Junior Software Engineer specializing in AI testing automation and knowledge graphs
Mid-Level Software Developer specializing in full-stack development and databases
Mid-level Data Engineer specializing in LLM agents, RAG pipelines, and LLMOps
Mid-level AI/ML Engineer specializing in financial services and generative AI
Mid-Level Full-Stack/Distributed Systems Engineer specializing in cloud microservices
Senior Generative AI Engineer specializing in RAG, LLM fine-tuning, and AI agents
Mid-level Full-Stack & AI Engineer specializing in Python, cloud, and LLM applications
Mid-Level Software Engineer specializing in backend and full-stack systems
Mid-level Software Engineer specializing in enterprise AI and Salesforce CRM
Director of Software Engineering specializing in cloud modernization, AI, and data platforms
Mid-Level Software Engineer specializing in cloud data platforms and full-stack web development
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level AI Engineer specializing in LLM orchestration and production AI systems
Aigo Madakimova
Senior Data Analyst specializing in audit analytics, automation, and financial data platforms
“Full-stack engineer with strong Next.js App Router + TypeScript experience who built and owned a production internal analytics dashboard end-to-end, including server-component data fetching, route handlers for secure proxying, and post-launch monitoring/caching fixes. Also designed Postgres data models and performance-tuned analytics queries, and built reliable BullMQ/Redis-based order-fulfillment workflows with idempotency, retries, and compensating refunds—comfortable operating with high ownership in early-stage teams.”
Haider Shah
Principal AI/ML Architect specializing in GenAI, LLMs, RAG, and Agentic AI
“FinTech/AI engineer who has shipped an end-to-end discrepancy-detection product for financial managers using Next.js, FastAPI/GraphQL, Pinecone, and AWS (with dev/staging/prod, observability, A/B testing, and documentation). Also built an AI-native “AI Genesis” system with agentic cyclic workflows, routing, and tool use, and has experience modernizing legacy systems via the strangler fig pattern while coordinating with senior stakeholders on a 5G autonomous simulation platform.”
Mid-level Data Scientist specializing in machine learning, analytics, and cloud data pipelines
Senior QA/UAT & Integration Test Manager specializing in enterprise platforms and data migration