Vetted Risk Management Professionals

“Safety-critical firmware validation engineer with Tesla autonomous vehicle experience who built Python-based HIL/SIL automation and dashboards, cutting regression time by 30% while maintaining an auditable risk-tradeoff process with safety and engineering teams. Also deployed an inventory management system across 8+ R&D teams in 3 countries at FUJIFILM, troubleshooting a major cross-site sync issue to a timezone root cause with strong documentation and interim mitigations.”

“IBM Power/AIX infrastructure engineer who has owned a large enterprise footprint (40 Power8/9 frames, 400+ AIX LPARs) with deep hands-on VIOS/HMC, NIM, performance tuning, and PowerHA recovery. Demonstrated high-impact incident response (avoided DB reboot saving ~4 hours; restored clustered services in <20 minutes) plus strong RCA and preventative remediation. Also brings modern DevOps/IaC experience building GitHub Actions pipelines and Terraform-managed AWS EKS/VPC/RDS/S3 environments.”

“Entrepreneur building a platform to turn clinically/technically validated medical device innovations (not yet commercialized in Western markets) into acquisition-ready companies by tightly controlling execution. Focuses on selecting technologies with execution risk (not clinical/technical risk) and running them through a structured program framework designed around acquisition criteria from day one.”

“Operations/program leader who partnered closely with a COO to drive transformation initiatives (compliance workflow automation and budgeting redesign), implementing governance cadences and executive dashboards to improve alignment and decision speed. Managed a $120MM operating budget and successfully delivered regulator-mandated resolution planning under tight timelines, while maintaining strict discretion during restructuring work involving sensitive HR data.”

Jehanzeb Khan

Screened

Director-level Engineering Manager specializing in large-scale data and compute platforms

Sunnyvale, CA20y exp

“Platform and distributed-systems leader (player-coach) who owned architecture and reliability for an Amazon analytics/data platform serving ~100K internal users at exabyte scale. Built an ML-driven “Lakeflow” optimization layer that cut pipeline completion times ~20–25% and reduced compute waste >15%, and led major incident response/redesign efforts (e.g., deletion storm) with strong rollout/observability/rollback practices.”

“HR Business Partner with global people leadership experience across Europe and Asia and deep partnership with Product, Design, and Data/Analytics teams. At Samsung, led a major integration and headcount expansion, partnering with TA/HR Ops/Talent/Comp and providing weekly SVP updates; credits the effort with helping grow revenue from ~$3B to $5B+ and onboarding/training new hires at a flagship location.”

“Senior engineering leader in the Bay Area with experience spanning VMware, Hortonworks/Cloudera, Barracuda, and Palo Alto Networks, including leading open-source work (Apache Knox) and architecting large-scale security platforms. Has driven disaster recovery and cloud security products, designed Python microservices for Microsoft 365 security, and scaled teams (3x) while formalizing enterprise readiness practices with automated documentation using Notebook LLM.”

Jay Desai

Screened

Executive Technology Architect specializing in FinTech, AI platforms, and cloud modernization

California, USA24y exp

“Entrepreneur building an early-stage community food-sharing, network-effects platform positioned as an alternative to restaurant-centric delivery models (e.g., DoorDash/Uber Eats) by enabling homeowners to act as micro-entrepreneurs. Has been piloting a local community program for nearly a year and uses experiments and customer feedback to validate hypotheses and assess scalability.”

“Aspiring founder building an AI governance and compliance startup for the finance industry, focused on agents that monitor data lakes/lakehouses to detect security vulnerabilities, PII exposure, and governance issues in real time. Has already formed an S-corp, has not raised capital yet, and approaches idea validation through Minimum Lovable Product testing with potential clients.”

“Operations and leadership advisor with experience scaling and globalizing large and growing businesses, including Reebok’s expansion from ~$1B to ~$3B and Student Advantage’s rapid roll-up (15 acquisitions in 18 months). Known for post-merger/ERP-driven process redesign, building customer/metric feedback loops (NPS, time-to-ship), and coaching founders/executives across industries (tech, healthcare, biopharma, B2B SaaS/sports tech).”