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Vetted Data Warehousing Professionals

Pre-screened and vetted.

KB

Kamal Basha

Screened

Executive Data & AI Product Leader specializing in GenAI/LLM and SaaS platforms

19y exp
Wolters Kluwer

Technology/engineering leader with experience at Real Messenger, Wolters Kluwer, and Accenture AI, spanning roadmap definition through execution and org scaling. Has operated at the executive level (fundraising, investor relations, SPAC merger activities, media presentations) while driving architecture decisions validated by PoC/testing/production success metrics.

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AV

Executive Engineering Leader specializing in Blockchain, FinTech, and SaaS platforms

Greenbrae, CA28y exp
GalaSanta Clara University
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MJ

Senior Data Scientist specializing in NLP, LLMs, and Generative AI automation

Waterford, MI12y exp
AbridgeUniversity of Georgia
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SR

Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines

San Francisco, CA7y exp
DatabricksIndiana Tech
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KB

Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML

Ridgefield, CT26y exp
Digilytes LLCNational Institute of Technology
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JL

Executive AI Architect specializing in enterprise GenAI and LLM platforms

18y exp
Cogrithm.comUniversity of Colorado Boulder
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PK

Paul Kasinski

Screened ReferencesStrong rec.

Executive CIO/CTO specializing in enterprise transformation across retail, e-commerce, and AI

Santa Monica, CA17y exp
AspirixDuke University

Senior technology executive (CTO/SVP Technology, also board member) with experience modernizing legacy environments and scaling teams in high-growth and PE-owned contexts. Architected a standardized enterprise platform (ERP/WMS/CRM/POS/eComm/DWH/BI/integration) to rapidly migrate acquisitions—moving 7 companies in under 3 years and cutting migration timelines ~4x—while also driving major org redesign and hiring acceleration (30+ hires in 6 months).

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AI

Asif Iqbal

Screened

Executive Digital & Technology Leader specializing in global platform modernization

Tempe, AZ32y exp
MobivityUniversity of Michigan

Explored a digital notarization startup concept in 2020 that stalled due to COVID-era inability to secure VC seed meetings; later saw the market validate the idea via a comparable acquisition (~$57M, per candidate). Now more interested in driving innovation and simplifying complex customer experiences within an established organization, using a highly structured, metrics-driven product execution approach.

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AM

Akhil Maram

Screened

Senior Data Engineer specializing in real-time data platforms and lakehouse architectures

Parker, CO8y exp
AirbnbLindsey Wilson College

Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.

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SM

Executive Engineering Leader specializing in scalable streaming, media supply chain, and AI operations

19y exp
DisneyUCLA

Tech executive with Disney experience who has repeatedly scaled and restructured engineering organizations (from 4 to 30 and up to 100+), using OKRs/KPIs to drive business-aligned roadmaps. Hands-on with architecture and platform strategy, including adopting MongoDB Atlas to centralize transactional data and building shared core services (security/permissions, auditing, compliance) to increase product velocity across distributed teams.

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RB

Senior Infrastructure Engineer specializing in cloud, Kubernetes, and MLOps

San Francisco, USA6y exp
ATLANTIA SpaUniversity of Bologna

LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.

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DN

Dennis Noto

Screened

Executive Technology & Security Leader specializing in FinTech, AI platforms, and enterprise modernization

Denver Metro Area36y exp
Etana CustodyUniversity of Oklahoma

Technology transformation leader who builds board-approved roadmaps and scales engineering orgs with strong Agile execution. Led large modernization efforts (e.g., Scottrade: 3,000 programs/4M LOC in 18 months) and scaled POCs into enterprise SaaS platforms using Docker, Kubernetes, Helm, and Terraform for high-concurrency workloads.

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GU

Engineering executive specializing in production ML systems and enterprise SaaS

San Francisco, CA26y exp
FLYRCarnegie Mellon University

Engineering/data platform leader from FLYR (airline ML forecasting and automated pricing) who built scalable ingestion/ETL and a canonical data model to onboard airlines with highly heterogeneous source systems. Created a golden-metrics layer for airline KPIs and implemented monitoring/backfill capabilities, cutting onboarding time by 50%+ while improving SLA performance and controlling cloud/ML training costs through stronger data quality gates.

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PM

Director-level Product-Led CTO specializing in AI/MarTech, retail media, and omnichannel platforms

San Francisco, CA25y exp
NikeNorthwestern University
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YL

Senior Software Engineer specializing in cloud-native microservices and observability

Dublin, CA20y exp
OracleUniversity of Waterloo
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SM

Shuvam Mitra

Screened

Mid-level Data Scientist specializing in anomaly detection and production ML

Pittsburgh, PA4y exp
HondaCarnegie Mellon University

Interned at Backblaze building production AI systems for incident response and security operations, including an internal LLM-powered incident triage assistant that used Snowflake + RAG over historical tickets/postmortems and delivered results via Slack and a web UI. Emphasizes reliability (PII filtering, grounding, schema validation, fallbacks) and rigorous evaluation/observability (offline replay, partial rollouts, time-to-first-action metrics, Prometheus/Grafana).

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MJ

Senior AI/ML Engineer specializing in Generative AI, NLP, and RAG systems

Mesquite, TX11y exp
AmazonUniversity of Texas at Dallas

ML/NLP engineer focused on production-grade data and search/recommendation systems: built an end-to-end pipeline that connects unstructured customer feedback with product data using TF-IDF/BERT, Spark, and AWS (SageMaker/S3), orchestrated with Airflow and monitored for drift. Also has hands-on experience with entity resolution at scale and improving search relevance via BERT embeddings, FAISS vector search, and domain fine-tuning validated with precision@k and A/B testing.

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JG

Jim Glassman

Screened

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

Houston, TX16y exp
IBMOhio State University

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.

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AD

Amrit Depaulo

Screened

Executive CTO specializing in AI/ML platforms and enterprise SaaS engineering leadership

San Francisco, CA30y exp
Delos Insurance Solutions

CTO-level leader with deep insurtech and cloud security/SaaS experience who has repeatedly scaled global engineering orgs and delivered high-velocity roadmaps. Most recently led Delos Insurance Solutions to launch new homeowners programs for wildfire-prone regions every 3–4 weeks while meeting DOI/SLA requirements, driving $135M GWP and $250M capacity and reaching cash-flow positive. Also led major scalability re-architecture at CloudPassage (Postgres to Cassandra + Kafka) and built a large Estonia-based engineering hub at Cybercube.

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BB

Mid-Level Software Engineer specializing in cloud platforms and data engineering

Seattle, WA5y exp
MicrosoftColorado State University
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TR

Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML

CA, USA5y exp
AppleTexas Tech University
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DC

Executive Engineering Leader specializing in AI/ML, data platforms, and FinTech payments

Remote21y exp
Blue Orange DigitalCornell University
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RP

Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting

KS, United States12y exp
TargetKansas State University
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