Vetted Consulting Professionals

“Sourcing professional with experience across both softlines and hardlines who led an end-to-end cashmere baby apparel program for PETIT-LOULI, including vendor discovery (Alibaba/Canton Fair), multi-supplier sampling/production, consolidation for final packing, and DDP delivery to the US. Demonstrates strong cost and risk management, including proactive mitigation of raw material volatility (e.g., TDI in memory foam) and practical factory capability assessment via audits.”

Eric Lane

Screened ReferencesStrong rec.

Executive Technology Architect specializing in IT/OT convergence and industrial cybersecurity

Ventura, CA29y exp

“Entrepreneurial technical leader with ~3 decades in R&D/startup environments and proprietary consulting across government and private industry. As Sr Electrical Controls Engineer/IT Director at V-Grid Energy Systems, redesigned gasification automation instrumentation by creating custom PCB multiplexing and ladder-logic drivers, avoiding an estimated ~$2M in CAPEX and reducing per-machine cost to under $200—positioning him well for CTO roles supporting scalable new ventures.”

“Growth/marketing strategist with hands-on experience in influencer/creator partnerships and performance measurement (coupon-code tracking, pre/during/post benchmarking). Built a 140-page GTM/channel strategy for a planned Greater Toronto Area launch (including tech stack and census-based geo targeting) and previously drove a 40% increase in MRR for a California subscription box brand through data-driven hypertargeted campaigns.”

Phat Dang

Screened ReferencesStrong rec.

Junior Software Engineer specializing in full-stack, DevOps, and GenAI

Toledo, OH2y exp

“Robotics software engineer with hands-on hardware integration who built an AI-enabled smart dog door using a Raspberry Pi, camera-based recognition (DeepFace adapted for dogs), and stepper motor control (TB6600/NEMA 17). Experienced in ROS/ROS 2 across perception-to-controls, rigorous bag-driven debugging of SLAM/navigation issues, and deploying robot software with simulation-in-the-loop testing plus Docker/Kubernetes CI/CD.”

“Entrepreneur with education administration experience now forming an AI-in-education startup concept focused on augmenting instruction with better AI tools. Previously opened and scaled a coffee roasting franchise in Asia into cafes and exited after strengthening the business financially, demonstrating international regulatory navigation and government relationship-building.”

Leon Hsi

Screened

Mid-level Solutions Consultant / Full-Stack Developer specializing in APIs, SQL, and cloud systems

Houston, TX4y exp

“Builder with hands-on security hygiene experience from developing a helpdesk portal handling sensitive payment/invoice data, focusing on RBAC, least-privilege integrations (QuickBooks/Atera), and tightening API authorization to prevent cross-account access. Also built personal projects integrating Twilio/Callkeep/Supabase/OpenAI with strong key management and defensive handling of real-world API/network failure modes; holds an ISC2 certification and is actively deepening cloud security skills.”

Heather Talla

Screened

Director-level B2B Marketing & Growth Leader specializing in demand gen and lifecycle revenue

DeLand, FL8y exp

“Digital Specialist/Media Buyer at John 3:16 who managed $50K+/month in spend (≈$500K/year) across a broad omnichannel mix (search, social, programmatic, CTV/OTT/DOOH, audio, geofencing, email acquisition). Delivered 17% YoY growth vs a 7–8% target and implemented new online giving options (DAF, crypto, stock) contributing to 24% growth on a ~$15M annual giving base.”

“Former Los Angeles Angels DSL intern who pivoted into pursuing a baseball career after gaining hands-on experience in player development and Trackman operations. He has built an early baseball network through Winter Meetings and helped create a concrete opportunity for a player by connecting an agent to a Dominican Republic tournament attended by MLB organizations, which contributed to the player's rising stock.”

Ashlynn Cash

Screened

Junior sports marketing and recruiting operations professional specializing in athlete branding

Texas, USA

“Former Division 1 athlete with a football-coach family background who combines recruiting insight, player evaluation, and NIL strategy into a highly commercial athlete advisory profile. Has hands-on experience sourcing and closing brand partnerships for AthleteCon entirely through cold outreach, while advising football families on recruiting, compliance, and long-term brand positioning.”

“Entrepreneurial operator/investor with prior capital-raising experience and a track record of scaling an early room-by-room rental (boarding income) real estate model for higher cash-on-cash returns. Currently exploring a new venture at the intersection of employee empathy and organizational excellence, aiming to build predictive corporate performance tools driven by ambitious teammate engagement.”

“Former consulting-firm professional who started their own company and ran operations as a solo operator, relying on deep document review and analytical issue-spotting rather than software systems. Has practical experience reducing costs in field service operations by optimizing dispatch/scheduling, and has organized teams and provided fact-supported analysis in litigation-oriented work.”

“Engineering/CTO-style leader with hands-on architecture experience who has driven end-to-end modernization of a manual antiques auction operation—building centralized web-accessible data systems, digitizing historical records via OCR/freelancers, and defining profitability-focused KPIs with an eye toward predictive modeling. Emphasizes provider-agnostic, containerized SaaS architecture to avoid vendor lock-in and has experience scaling a small engineering team with ownership-based culture and lightweight processes.”

“Built and owned a production RAG-based internal knowledge assistant end-to-end, from experimentation through cloud deployment and monitoring. Demonstrated strong practical GenAI judgment by choosing prompt optimization and retrieval tuning over fine-tuning for dynamic data, driving a 40% to 50% reduction in time to answer while improving relevance, lowering hallucinations, and increasing productivity.”