Vetted Requirements Gathering Professionals

Michael Prospero

Screened

Executive product leader specializing in AI/ML and data products

Remote15y exp

“GenAI product owner and longtime financial-services product professional who helped stand up a new AI function at Royal Caribbean Group as one of its earliest hires. They combined enterprise intake, governance, and rapid prototyping with hands-on product leadership, including a fraud detection initiative projected to save $16M annually and AI solutions shaped across highly regulated environments.”

“Industrial AI/ML practitioner with experience deploying real-time monitoring and anomaly detection in a regulated Sanofi vaccine manufacturing facility, including root-cause workflows, logging/alerting, and SOP-aligned validation—achieving ~90% faster anomaly detection. Also built Python/NLP-style automation to accelerate instrumentation & control documentation (~40% faster) and delivered end-to-end predictive analytics for an agri-food operations/distribution client using close operator and leadership feedback loops.”

Yemi Soyombo

Screened

Senior IT Project Manager and Scrum Master specializing in enterprise Agile delivery

Davidson, NC10y exp

“Project/program leader with 8 years of experience delivering enterprise B2B and SaaS implementations in highly matrixed environments, often combining traditional PM and Scrum Master responsibilities. Has managed portfolios of 4-6 concurrent initiatives from discovery through go-live and hypercare, with strong governance, executive communication, and experience supporting operational platforms similar to EAM/CMMS systems.”

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.”

“Recruiting leader in the agency/media space (Omnicom/Hearts & Science and WPP Media) who manages a small recruiter pod and builds operational systems to improve hiring outcomes. Known for process standardization and change management (Greenhouse templates, SLAs, automation) and for measurable stakeholder impact—e.g., cutting hiring manager response lag to 48 hours and partnering with a CFO to prioritize/stagger hiring based on capacity and budget.”

“Candidate brings an operator-to-founder profile with leadership experience in IT and Business Systems and a strong grasp of how ideas become venture-backable products. They speak fluently about startup evaluation criteria such as TAM, technical defensibility, speed to scale, and AI differentiation, and appear especially motivated by building solutions end-to-end in startup or venture studio environments.”

Dhananjay Sharma

Screened ReferencesModerate rec.

Mid-level Full-Stack Engineer specializing in AI and FinTech platforms

Stony Brook, NY6y exp

“Full-stack engineer who built RegArt’s product from 0→1 for enterprise compliance users at clients like HSBC and EY, including the production React frontend, backend APIs, and an LLM-powered search experience. Particularly compelling for startups needing someone who can move across UI, API, and data layers, make pragmatic architecture tradeoffs, and ship fast without over-engineering.”

“Built and owned a zero-to-one AI knowledge workspace that turns chats and documents into a reusable structured section map, spanning React/TypeScript frontend, FastAPI backend, LLM pipelines, and cloud deployment. Also shipped a crypto scoring multi-agent system that combines market, GitHub, and on-chain signals, showing strong end-to-end AI product and orchestration experience.”