Vetted Oracle Database Professionals

Sandeep Natu

Screened ReferencesStrong rec.

Executive Technology Leader (CTO/COO) specializing in Telecom, IT Delivery, and eGovernment platforms

Atlanta, GA19y exp

“Entrepreneurial operator who has started three revenue-generating startups for an employer and is now ready to found independently. Built and scaled a USSD-based lottery product in Nigeria by partnering with MTN, driving 10%+ uplift in gross turnover, and has hands-on experience validating market gaps via SMS/call-center surveys and launching pilots before scaling.”

“Built and operated a production warehouse metadata collection platform at Sigma Computing, integrating Go/gRPC services with a TypeScript backend and MySQL, with strong emphasis on idempotency, retries, bounded-concurrency job queues, and Datadog-based observability. Also created Kurral (kurral.com), an AI agent runtime security and observability/governance SDK/proxy concept, iterating via pilot-customer feedback and market research; targeting founding engineer roles with $180–200k base and ~2–5% equity.”

“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”

Shailaja Domala

Screened

Executive product and AI leader specializing in data platforms and analytics

California, USA24y exp

“Engineering leader with deep experience at Visa building and modernizing large-scale analytics platforms, including refactoring legacy systems into globally available microservices on AWS. Combines hands-on technical judgment in architecture, search platform evaluation, and service reliability with management of distributed international engineering and data teams.”

Krishna Reddy

Screened

Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants

New York, NY6y exp

“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”

michael rosenbloom

Screened

Executive technology services leader specializing in cloud, managed services, and outsourcing

Tel Aviv, Israel29y exp

“Operator with founder/COO/CEO experience in professional services, managed services, and cloud services (Adjoined Consulting, Virtustream, Lemongrass). Known for instrumenting businesses with real-time pipeline/backlog-to-resource planning systems and for building sales organizations end-to-end, including bookings-based comp plans that drove ~40% CAGR. As VC-backed non-founder CEO, scaled Lemongrass from ~$25M to ~$100M run-rate and applied AI to de-risk SOW/costing and to improve service desk efficiency and gross margin.”

“Technology-first venture builder with strong familiarity in the VC/accelerator landscape, specializing in greenfield innovation, M&A, and large-scale transformation/modernization. Described building a venture-funded retail banking greenfield startup to integrate lending-as-a-service for SME lending while meeting federal and local financial services compliance requirements.”

“Cybersecurity entrepreneur building a solution focused on emerging AI-driven security risks, aimed at helping mid-sized companies defend against advanced threat actors without needing large internal teams. Has a business plan, has raised capital, and is currently entering a seed VC round while doing fractional CTO/interim work to cover advisor and corporate legal costs amid upcoming EU cybersecurity/resilience policy changes.”

“Senior technology and venture-oriented leader pursuing a CTO role, with hands-on experience advising an AI startup and a VC firm while also building incubation and technology advisory functions at Iron Mountain. Notably brought a cybersecurity product to market in six months and helped position a blockchain product through early deal development, showing a strong blend of product, strategy, and venture-building capability.”

“ML/AI engineer with hands-on ownership of production computer vision and GenAI systems, spanning real-time public safety video analytics and RAG-based knowledge assistants. Stands out for translating research-oriented approaches into scalable, monitored production systems with clear business impact, including 50% latency reductions, 25% faster response times, and 40% lower document search time.”

“Healthcare systems leader with unusually broad provider-side experience spanning operations, finance, revenue cycle, supply chain, and strategic planning. Combines executive finance exposure—M&A support, bond offerings, debt reporting, IPO-related work, and FEMA/DOH coordination—with hands-on operating leadership, including recovering $350M in COVID relief funds and helping drive a turnaround that produced $90M in revenue plus $45M in savings within 6 months.”

Jim Glassman

Screened

Executive Technology Leader specializing in Enterprise AI, Cloud Architecture, and Data Platforms

Houston, TX16y exp

“Senior data/technology executive who stays hands-on: currently building a Go micro-kernel orchestration layer for medical AI agents to boost concurrency and enforce HIPAA/PHI controls, achieving 26x throughput on migrated workloads. Has led large-scale transformations across healthcare and financial services, including a 45-day data warehouse rebuild at Elara Caring and a data/ML roadmap at Acelity credited with $230M in annual revenue impact prior to 3M acquisition.”