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Vetted Business Intelligence Professionals
Pre-screened and vetted.
Hamsalakshmi Ramachandran
Mid-level Data Analytics professional specializing in BI, data engineering, and applied AI
“Built GenMedX, a multi-module clinical AI system for emergency department decision support spanning triage prediction, diagnosis, medication Q&A, and visit summarization. Stands out for combining medical LLM fine-tuning, RAG, and rigorous evaluation/monitoring to drive a major triage recall improvement from 38.5% to 76.6%, with a strong focus on safety, edge-case detection, and production reliability.”
DINESH TIWARI
Director of Enterprise Architecture specializing in finance systems, data platforms, and AI
“Architect/engineering leader who built a multi-tenant AI platform end-to-end, including a secure FastAPI orchestrator (JWT, RBAC, tenant isolation, auditing) and an extensible MCP tool-routing layer, then productionized it via fully containerized microservices (Docker, Postgres/pgvector, Redis). Also has strong governance and compliance experience (ARB with security/privacy/SOX) and has owned high-severity incidents through mitigation and RCA/RCCA, plus prior high-volume payments/accounting data pipeline design with audit-grade integrity checks.”
Josh Rhoades
Executive Technology Leader (CTO) specializing in AI-enabled SaaS and regulated platforms
“Senior engineering leader with experience at Disney and BlackLine who drives business-aligned technology roadmaps through deep Product/Engineering partnership (two-in-a-box) and pragmatic prioritization frameworks. Has led major modernization initiatives—private-to-public cloud migration to GCP with multi-cloud evolution, data-layer performance improvements (Mongo/Redis, caching/query optimization), and tooling upgrades (VSS to GitHub)—while scaling teams with strong quality and accountability culture.”
Mid-level Data Analytics Engineer specializing in cloud data platforms and FinTech
Mid-level Backend/API Software Engineer specializing in identity and data observability SaaS
Executive Chief of Staff specializing in strategic operations and business transformation
Mid-level strategy and operations professional specializing in SaaS, AI, and finance
Director-level Economist and Market Research Consultant specializing in industrial organization and finance
Junior Data/AI Engineer specializing in scalable data pipelines and Elastic Stack
Mid-level Business Data Analyst specializing in healthcare and financial analytics
Mid-level Full-Stack Software Engineer specializing in Python, React, and FinTech
Executive Technology Leader (CIO/CTO) specializing in cloud platforms, cybersecurity, and digital transformation
Junior Venture Capital Analyst specializing in AI, SaaS, and FinTech
Senior Full-Stack Engineer specializing in Python, data engineering, and cloud platforms
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Principal Data Scientist specializing in Generative AI and MLOps
Director-level Product Leader specializing in FinTech, blockchain, and AI/ML
Executive Finance & Operations Leader specializing in FP&A and financial transformation
Mid-level AI/ML Engineer specializing in multimodal and generative AI at scale
Intern Business Analyst specializing in product analytics and business intelligence
Senior Private Wealth Capital Raising Associate specializing in hedge fund credit strategies