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Vetted Data Warehousing Professionals
Pre-screened and vetted.
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
Staff Software Engineer specializing in cloud-native microservices and event-driven systems
Mid-level Python Full-Stack Developer specializing in FinTech and real-time data/ML systems
Junior Software Engineer specializing in healthcare data and LLM-powered workflows
Mid-level Data Scientist / ML Engineer specializing in NLP, recommender systems, and insurance analytics
Senior Solution Architect and Engineering Manager specializing in government, FinTech, and cloud platforms
Mid-level Data Engineer specializing in AWS ETL and data warehousing
Mid-Level Backend Software Engineer specializing in FinTech and data pipelines
Executive Commerce & Digital Technology Leader specializing in enterprise eCommerce platforms
Mid-level Machine Learning Engineer specializing in NLP, federated learning, and fraud detection
Executive AI & Technology Leader specializing in enterprise data, GenAI, and digital transformation
Technology Executive specializing in AI-native engineering and cybersecurity governance
Mid-level AI/ML Data Engineer specializing in data pipelines, MLOps, and LLM/RAG systems
Mid-level Full-Stack Python Developer specializing in cloud-native FinTech and GenAI
Executive Chief Data & Analytics Officer specializing in data modernization and AI governance
Nehal Mahankali
Mid-level Full-Stack Python Developer specializing in cloud-native banking applications
“Backend engineer who built a low-latency real-time transaction API in Python/Flask, with strong depth in PostgreSQL/SQLAlchemy performance tuning (time-based partitioning, indexing, connection pooling). Has production experience integrating ML scoring and OpenAI-style APIs with safety/latency controls, and designing multi-tenant isolation strategies including per-tenant pooling/caching and premium-tenant isolation.”
Kourosh Amin-Tehrani
Principal Enterprise Cloud Architect specializing in secure modernization and AI-ready infrastructure
“Bootstrapped founder building a cybersecurity framework for cloud-native applications and startups, differentiated by significantly faster end-to-end cloud environment delivery than traditional consulting. Has experience navigating pricing models (fixed price vs time & materials) using MVP and phased delivery, and has strong familiarity with the VC/accelerator landscape with interest in healthcare (details under NDA).”
Paiman Nodoushani
Executive CTO specializing in AI-powered transformation for enterprise SaaS
“Former Cisco professional who successfully pitched and got funding for adding virtualization to access routers to enable third-party application development, framing the opportunity with clear revenue upside and risk management. Highly interested in AI—especially agent-based development—and believes it lowers the barrier to building and shipping new products with small, high-caliber teams.”
Sayak Banerjee
Intern Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Built and shipped production improvements to a Paylocity RAG-based AI assistant, redesigning retrieval into a hybrid HNSW + keyword pipeline and using tuned RRF to fuse rankings—cutting latency by ~2s and reducing token usage by ~5000. Previously spearheaded Apache Airflow integration across ETL pipelines at Acuity Knowledge Partners, creating reusable templates and automated triggers to reduce manual job monitoring.”
Executive Technology & Product Leader specializing in cloud platforms, security, and global engineering scale
Executive Technology Leader specializing in AI, Data Platforms, and FinTech