Vetted Business Intelligence Professionals

Paul Kasinski

Screened ReferencesStrong rec.

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

Santa Monica, CA17y exp

“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).”

“Healthcare product leader with deep oncology and pharma experience who has built both foundational clinical data platforms and AI-powered patient engagement workflows. Particularly notable for combining rigorous data standardization, LLM evaluation/guardrail design, and human-centered communication changes that drove measurable medication refill and adherence improvements. Also teaches AI to product managers and business analysts, bringing a pragmatic, education-first view of human-centered AI adoption.”

“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”

Ravikanth Kasamsetty

Screened

Executive engineering leader specializing in AI, data platforms, and cloud SaaS

California, USA23y exp

“Senior engineering executive with a rare mix of VP-level people leadership and deep hands-on architecture across cloud-native and AI platforms. He led secure hybrid SaaS design at Promethium, built GenAI-powered analytics with LLMs/RAG, and translated customer needs into product wins including the largest deal in company history and a PLG motion that generated 100+ leads.”

Tina Bai

Screened

Executive operator-founder specializing in GTM, revenue strategy, and AI-native commercial operations

New York, NY10y exp

“Operator with Deloitte consulting experience supporting PE/VC-backed portfolio companies and current experience inside a VC-funded Series C scale-up. Building a bootstrapped D2C women’s telehealth brand (Petty Pills) with two initial SKUs, deployed tech stack, and white-labeled clinical/compliance infrastructure, leveraging AI tooling to keep operations lean while focusing on full-time operator roles.”

“Senior engineering leader with a rare blend of deep platform/infrastructure expertise and large-scale people leadership, spanning hands-on cloud-native architecture through management of globally distributed organizations of up to roughly 180 engineers. Particularly strong in Kubernetes platform modernization, reliability engineering, and scaling high-throughput SaaS systems while aligning platform investments to customer and business outcomes.”

“Engineering/product leader with repeated experience defining roadmaps and delivering platform migrations across SaaS and enterprise contexts. Scaled an education system from two districts to 2M+ students statewide, and led an Elasticsearch-based architecture for an internal Disney product serving ~100K employees. Known for rigorous execution (RAID/OKRs/sprints), strong stakeholder communication (weekly AI summaries), and empowering teams via end-to-end ownership and customer-connected development.”

Yishi Wang

Screened

Junior Machine Learning & Data Science professional specializing in LLMs and analytics

Chicago, IL3y exp

“Amazon internship experience building production GenAI analytics for the returns organization: a multi-agent LLM+RAG system that let analysts query multiple heterogeneous data sources in natural language without hand-written SQL. Also built and operationalized four Apache Airflow DAGs for large-scale ETL, emphasizing observability and freshness-aware metadata to keep outputs accurate and up to date.”

Jun Ouyang

Screened

Principal Software Engineer / Tech Lead specializing in distributed systems, payments, and reliability

San Francisco, CA20y exp

“Backend engineer with DoorDash experience building production-critical systems spanning LLM-based real-time safety moderation (SendBird callbacks + ChatGPT risk scoring with automated actions) and large-scale payments data pipelines (Kafka to CockroachDB with aggregation APIs). Also led cross-team reliability work to standardize SLOs and drove an incident redesign from batch pull to real-time push callbacks to eliminate critical-event latency.”

Hai Nguyen

Screened

Senior Technical Account Manager specializing in cloud, AI, and enterprise platforms

New York, NY14y exp

“AWS Technical Account Manager with 5 years supporting large enterprise customers on cloud migrations, application development, and architecture decisions across a broad AWS stack. Stands out for combining enterprise cloud advisory with hands-on solution building—from POCs and DR designs to a custom mobile and automation workflow for a construction client that won CEO buy-in and changed field operations.”

Mirko Richter

Screened

Director-level Product Leader specializing in AI platforms and FinTech

Yorktown Heights, NY19y exp

“Product leader with rare breadth across Amazon-scale operations and applied AI. They led the first profitable same-day delivery launch for Amazon in Spain and Italy, later built AI products including a voice agent that replaced 200 humans and cut CAC by 60%, and have direct edtech experience at Nerdy/Varsity Tutors focused on AI that amplifies human tutoring rather than replacing it.”