Vetted Training Professionals

“18-year Google veteran who managed and grew top customer investments, including Rocket Mortgage’s Google Search program—scaling spend from ~$60M/year to $170M/year. Led adoption of ROAS bidding and broad match through rigorous experimentation and forecasting, driving an additional $14.5M spend in 1H 2024 despite a challenging mortgage market.”

“Research-oriented ML engineer/scientist with deep experience applying generative models, adaptive optimization, and HPC infrastructure to complex physics analyses. Built reusable Python-based tools that replaced expensive Monte Carlo workflows, integrated across HTCondor/SLURM environments, and reduced analysis timelines by 2x while supporting broader team adoption and training.”

“PhD with 10 years in oil & gas who has repeatedly developed and deployed technologies inside companies, including creating an industry-standard method for mapping oil contamination from the ground surface. Experienced in taking innovations from lab validation through funding, field demonstrations, and regulator/stakeholder alignment, and now looking to found a company building AI tools for heavy industries like oil & gas and mining.”

“Brand strategist and business builder with startup experience at Betterment pre-launch, operational and revenue strategy work at Patch, and 15 years at McCann delivering 10 AOR wins including Qualcomm, HomeGoods, Air Wick, and Kroger. Particularly strong at entering unfamiliar categories, uncovering overlooked customer insights, and turning them into clearer positioning, smarter targeting, and winning pitches.”

“Intel veteran who applied multiple linear regression and time-series drift analysis to semiconductor lithography overlay/metrology data, feeding model outputs into automated process control. Comfortable working across Python, VBA, and JMP/JSL, with a pragmatic approach to validation (RMSE + trend visualization) and data quality via close coordination with measurement/metrology teams.”

Madhurya Taneja

Screened

Mid-level strategy consultant specializing in private equity and investing

Delhi, India5y exp

“Candidate appears to operate at the intersection of founder sourcing, early-stage company evaluation, and hands-on growth support. They combine investor-style discovery with practical execution—using tools like PitchBook, Crunchbase, Notion, and Airtable, and have examples spanning AI/robotics and fintech where cold outreach led to founder relationships, customer opportunities, and marketing initiatives.”

Sumer Joshi

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in backend systems and AI applications

Remote13y exp

“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”

Masoom Chaudhary

Screened ReferencesStrong rec.

Executive-level Chief of Staff leader specializing in cybersecurity and national security operations

Washington, DC14y exp

“Senior chief-of-staff–type operator with 13 years in government, leading agency-wide implementation of presidential executive orders and large-scale internal policy rewrites via cross-functional working groups (HR/CIO/CFO/legal/facilities). Deep experience boosting executive productivity through structured prep systems (Outlook/OneNote, templates, SME tasking) and trusted handling of sensitive matters with a Top Secret clearance, including executive safety-related confidentiality.”

Yiteng Xu

Screened

Director of Lab Automation specializing in high-throughput assays and NGS workflows

South San Francisco, CA9y exp

“Joined Arsenal into a leadership vacuum (manager fired, only engineer left) and still launched a screening project in 4 weeks while defining team direction. Built an 11-person automation org spanning assay development, engineering, and operations, implementing OKRs/retrospectives/dashboards and navigating major pivots (including a partner pullout) while maintaining delivery and retention.”