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Vetted Data Warehousing Professionals
Pre-screened and vetted.
Director-level Data Platform Engineering Leader specializing in data governance and quality
Staff Data Scientist specializing in machine learning, deep learning, and big data
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Senior Full-Stack Engineer specializing in AI and GenAI platforms
Senior Engineering Manager specializing in cloud platforms, security & compliance
Senior Software Engineer specializing in high-scale backend systems on Google Cloud
Executive Technology Leader specializing in AI/ML and Cloud Transformation
Senior Software Engineer specializing in AI/ML and LLM-powered applications
Director of Risk & Control Management specializing in financial services governance and regulatory remediation
Amit Mathur
Executive Technology Leader specializing in Wealth Management Platforms
“Technology leader from Franklin Templeton who modernized wealth management tech by launching client-facing digital web/mobile experiences via a phased data-warehouse-to-real-time strategy, while aligning internal CRM visibility for front office teams. Scaled an engineering org from 15 to ~250 (15 teams) and drove a shift from waterfall to Agile with microservices/micro-frontends and Jira-based transparency to improve delivery velocity.”
Tolulope Akinlabi
Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk
“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”
jagadeshwar nomula
Executive Technology Leader (CTO) specializing in AI, Search, Cloud, and Edge computing
“Founder building an enterprise agentic AI startup who has already raised about $100K (friends & family plus self-funding). Has prior and current experience engaging VCs (including outreach to both large and small firms) and emphasizes demo-driven pitching, enterprise customer validation, and targeting billion-dollar market opportunities.”
Executive Technology & Data Leader specializing in AI, cloud modernization, and digital strategy
Senior Machine Learning Engineer specializing in LLMs and scalable MLOps
Executive Technology Leader (CTO/EVP) specializing in product-led SaaS and data-driven platforms
Executive Technology Leader specializing in SaaS platforms and Generative AI
Senior Data Engineer specializing in cloud data platforms and real-time streaming
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and scalable inference
Senior Data Engineer specializing in cloud-native data platforms and streaming pipelines