Vetted Root Cause Analysis Professionals

David Kroes

Screened

Executive HR & People Leader specializing in culture transformation, talent, and organizational development

Los Angeles, USA20y exp

“Operations/people-ops leader focused on early-stage, growth, and turnaround environments, with hands-on experience implementing UKG (HRIS) and Lever (ATS) to scale without adding headcount. At Niagen Bioscience, drove a 25% improvement in time-to-fill and cut administrative workload by 30% in 6 months, led a company-wide optimization initiative to reduce silos, and coached a VP of Finance into a successful CFO transition that included restructuring the finance org and upgrading key talent.”

Timothy Chu

Screened

Senior Software Engineer specializing in backend systems and data pipelines

Atlanta, GA11y exp

“Backend-leaning full-stack engineer from Home Depot who operated in small, startup-like teams with end-to-end ownership of critical production systems. Stands out for combining Go/Python backend depth, React/TypeScript collaboration, and strong reliability instincts—improving search latency by 40%, cutting DB latency by 35%, and hardening high-volume data and compliance pipelines.”

“Built and shipped a production generative-AI recipe feature on AWS serverless (Lambda + Bedrock), evolving it post-launch from fully AI-generated outputs to user-guided structured generation based on real usage patterns and system metrics. Emphasizes reliability via prompt constraints plus deterministic validation, with automated/human eval loops and CloudWatch-based observability to manage latency, cost, and output consistency.”

Arnell Dandridge

Screened

Director of Talent Acquisition & People Operations specializing in global hiring and HR systems

Remote9y exp

“Global recruiting leader at a startup who manages up to 20 recruiters worldwide while personally owning executive searches. Known for fast, high-impact hiring (e.g., EVP Customer Success filled in ~21 days) and for building practical, low-cost recruiting operations improvements—contract-to-hire strategy with CFO, global scheduling governance with CEO support, and HRBP-led onboarding engagement to prevent post-offer drop-off.”

“ML/AI engineer with hands-on ownership of production document intelligence and GenAI systems, spanning model experimentation, AWS deployment, monitoring, and iterative optimization. Stands out for turning document-heavy workflows into reliable, near real-time products with measurable gains in accuracy, latency, and manual-effort reduction, while also shipping citation-grounded RAG features that drove user trust and adoption.”

“Senior commercial leader from Bose with deep experience in consumer products and consumer electronics, leading global trade marketing and retail operations for a $2.5B portfolio. Stands out for driving double-digit growth and market share gains through omnichannel execution, pricing and trade optimization, and organizational redesign across global and regional teams.”

“BlackRock application engineer/product owner focused on enterprise AI platforms, building internal GenAI and ML workflow products for operations and business teams. Stands out for combining consultative solution design with hands-on implementation, including a contract review platform that cut first-draft review time by 60%+ and an AI mailbox tool that drew interest from 17 additional teams during the POC stage.”

“Amazon experience integrating LLM-powered chat automation into Amazon Connect contact-center workflows, taking prototypes to production with compliance-minded guardrails, schema/policy validation, and robust fallbacks. Regularly supports rollout and adoption via developer workshops, integration guides, and customer calls, with strong production triage and observability practices.”

Darsh Sharma

Screened

Mid-level Software Engineer specializing in ML systems and microservices

Madison, WI2y exp

“Teradata Text Security intern who built a production LLM-powered planner agent that decomposes complex tasks into dependency-aware subtasks (DAG/topological graph) and executes them via a custom orchestrator with parallelism, status tracking, and error handling. Also contributed to an HR-facing internal document chatbot concept to streamline onboarding, showing cross-functional collaboration.”

“Analytics professional with experience at McKinsey & Company and Dell Technologies, focused on turning messy operational and business data into trusted dashboards and decision tools. They combine SQL, Power BI, and Python to solve data quality issues, define metrics like retention, and deliver measurable impact such as a roughly 30% reduction in manual reporting time.”

Manjory saran

Screened

Senior Backend & Infrastructure Engineer specializing in cloud-native distributed systems

5y exp

“LLM infrastructure engineer who built a production-critical real-time personalization and memory retrieval system for a user-facing product, adding <100ms P99 latency while improving relevance ~20–25% and holding SLA through 3x traffic. Experienced designing tiered retrieval backends (Redis + vector store), deploying on Kubernetes with autoscaling/circuit breakers, and running rigorous observability, incident response, and agent evaluation (shadow traffic, A/B tests, regression/replay).”

Rojin Bakhti

Screened

Junior Software Engineer specializing in Edge AI and ML deployment

San Diego, CA3y exp

“Qualcomm engineer building Android applications that run on Qualcomm AI accelerators, with hands-on experience in C++ concurrency, chipset stress testing, and power/performance tuning. Has deployed on-device AI models and built deployment/log post-processing workflows using Docker/Kubernetes and CI/CD; interested in translating this embedded AI/performance background into robotics (perception/real-time systems).”

“Executive MBA candidate exploring entrepreneurship with exposure to the venture capital ecosystem (including an investor-focused conference). Highly committed to building a product from the ground up and uses authenticity, market fit, and personal expertise alignment as key criteria for pursuing new ideas.”

“Former founder/COO of Modjoul who spent 9.5 years building and scaling the company, including multiple pre-seed and seed raises and growth to 12M with Amazon. Brings a rare mix of operator grit, startup finance discipline, accelerator mentorship through CDL Wisconsin, and hands-on GTM/product launch experience with an 'all costs' founder mentality.”