Vetted Cross-Functional Collaboration Professionals

“FinTech/AI engineer who has shipped an end-to-end discrepancy-detection product for financial managers using Next.js, FastAPI/GraphQL, Pinecone, and AWS (with dev/staging/prod, observability, A/B testing, and documentation). Also built an AI-native “AI Genesis” system with agentic cyclic workflows, routing, and tool use, and has experience modernizing legacy systems via the strangler fig pattern while coordinating with senior stakeholders on a 5G autonomous simulation platform.”

Candace Gillhoolley

Screened

Senior Growth & Partnerships Leader specializing in creator and community ecosystems

Remote, Canada16y exp

“Partnerships and growth leader spanning developer/creator ecosystems, with experience at Manning Publications and currently at DataDriven Media (Impact Quantum). Launched a Twitch-based virtual conference GTM during the pandemic that drove 45,000 new developer leads and converted them into paying customers, and is highly metrics-driven across engagement, conversion, and retention.”

Luis Mirantes

Screened

Executive engineering leader specializing in scaling ML platforms and FinTech systems

Chevy Chase, MD30y exp

“Founder of an AI-agent startup focused on high-speed train braking efficiency, with a subsystem already demoed to RENFE Spain and positive initial feedback. Has hands-on fundraising and investor presentation experience, and stands out for a highly analytical approach to venture building centered on ROI, competitive barriers, IP protection, and evidence-based decision making.”

“Early-stage startup operator with 12+ years in Vancouver spanning venture studios, Silicon Valley Bank, accelerators, and go-to-market roles. Has worked on both sides of the venture ecosystem, helped multiple companies go to market, and has exposure to outcomes ranging from exits and IPOs to failed ventures. Especially compelling for venture studio or CEO roles requiring deep ecosystem fluency and strong investor/operator networks.”

“Engineering leader with BCG consulting background who has built roadmaps and scaled AI and data platforms for pharma and manufacturing clients. Led architecture shifts (Django monolith to event-driven microservices) for high-volume IoT SaaS products, improving deployment speed and enabling zero-downtime releases. Also established a near-shore engineering team in São Paulo and has managed distributed teams across multiple countries, leveraging strong stakeholder communication and a prior professional acting background for storytelling.”

Jones Pavan

Screened

Director-level Engineering Leader specializing in platform modernization and AI integration

Burbank, CA15y exp

“Engineering leader from Blackline who has repeatedly rescued and delivered high-visibility products by resetting roadmaps, tightening execution (better specs/estimation), and accelerating team velocity. Scaled a distributed org from ~20 to ~40 engineers by building a new India team with strong hiring rubrics and governance-as-code/SDLC consistency. Also modernized legacy systems into microservices (Kafka/Kubernetes/Apigee) and drove hackathon-to-production innovation using Google Vertex AI.”

Pratik Jaiswal

Screened

Mid-level AI/ML Engineer specializing in financial services ML and MLOps

Remote, USA4y exp

“ML engineer/data scientist with M&T Bank experience who built a production reinforcement-learning portfolio analytics tool for wealth management, emphasizing near real-time performance via batch/serving separation and robust generalization through stress-scenario backtesting and RL regularization. Strong MLOps background (Airflow, Grafana, MLflow) and proven ability to drive adoption with non-technical stakeholders using KPI alignment and SHAP-based explanations.”

“Unity/C# game developer who led a major level-system overhaul at Codable to support seed-based procedural generation, more than doubling available levels and improving engagement and paid conversion. Also shipped an OpenAI-powered in-product assistant (CatBot) for a kid-focused creator tool, including prompt screening, safety/tone constraints, and cost controls via daily usage limits.”