Vetted Cross-Functional Collaboration Professionals

Steven Dewey

Screened ReferencesModerate rec.

Director-level sales leader specializing in OEM, aftermarket, and industrial equipment markets

Hudsonville, MI19y exp

“Public-sector sales leader in emergency vehicle and municipal fleet equipment who drove $90M in combined incremental growth across SoundOff Signal and Buyers Products. Stands out for winning entrenched government accounts through product-led displacement strategies, disciplined KPI/CRM management, and persistence in long-cycle agency sales, including converting Houston PD from a longtime competitor.”

“Growth/partnership marketer who led Bird Heating & Cooling’s post-rebrand go-to-market and built trackable acquisition loops across Google Search, landing pages, email, and retargeting. Strong at converting local events/sponsorships into measurable leads using QR codes, UTMs, call tracking, and tight lead-routing workflows, and scaling repeatable partnership frameworks.”

“Senior Account Manager with hands-on ownership of a $50K/month CPG paid media program spanning OTT/CTV, programmatic display, SEM, Meta (and TikTok), combining rigorous test design with cross-functional execution (media planning + ad ops + channel teams). Delivered concrete gains including 25–30% lift in FTA and a 15% reduction in CTV CPM, leading to increased client budgets and an upsell into audio.”

“Backend/data engineer who reports building production Python services (FastAPI + JWT) backed by Postgres and Redis, and modernizing data workflows using AWS Glue + PySpark with S3/RDS. States experience delivering AWS solutions (S3, SES, Cognito) and using golden datasets/snapshot testing for migration parity, with many details withheld due to NDAs. Seeking fully remote work with a $300k base salary expectation.”

“Built and deployed an LLM-powered mental health therapy assistant at AppHealth that segments users by stress level and delivers personalized, non-medical guidance. Implemented healthcare-focused safety guardrails (secondary LLM output filtering) and a multi-agent router workflow validated via statistical tests and therapist review, then scaled training/inference on AWS (EC2/Lambda/DynamoDB) with Kubernetes.”

“Retail sourcing leader (currently a General Manager) with 11 years at a South Korea-based retailer and 20+ years in non-food product sourcing. Experienced owning end-to-end sourcing from supplier discovery and commercial negotiation through mass production, audits (BV/UL), and on-time delivery to distribution centers, with strong trade compliance/landed-cost focus (HTS, COO, FTA, tariffs/duties).”

“Master’s-program backend engineer with strong Java/Spring Boot industry experience who also owned a Python analytics service (Flask/Postgres, JWT, Celery/Redis) and optimized large-dataset performance via SQL/batching. Has hands-on Kubernetes microservices deployment and GitLab+Terraform CI/CD/GitOps workflows, plus experience supporting phased on-prem to AWS migrations and building Kafka-based real-time streaming pipelines.”

“Backend/ML platform engineer who owns end-to-end delivery of ML-serving APIs (FastAPI + TensorFlow) and runs them reliably on Kubernetes using ArgoCD GitOps. Has hands-on experience solving production-only issues (probe tuning for model warm-up, resource profiling) and building scalable Kafka streaming pipelines, plus supporting phased on-prem to AWS migrations with dependency discovery and recreation of hidden jobs/workflows.”

“ML engineer/data scientist who deployed a production credit risk + insurance claims triage platform at Hartford Financial, combining XGBoost default prediction with BERT-based document classification. Demonstrated strong MLOps by cutting inference latency to sub-500ms and building drift monitoring plus automated retraining/deployment pipelines (MLflow, CloudWatch, GitHub Actions, SageMaker) with human-in-the-loop review and SHAP-based explainability for underwriting adoption.”

Abhishek Gupta

Screened

Mid-level Full-Stack Developer specializing in AI automation and RAG pipelines

Toronto, ON6y exp

“Frontend engineer who has led mobile-first and web React/TypeScript products end-to-end, including an expense tracking app handling sensitive financial data and a real-time messaging/activity dashboard with chat, presence, and contextual side panels. Emphasizes scalable architecture, rigorous component-boundary testing, and production-safe rollout practices (feature flags, analytics/logging, staged releases) to ship reliably in fast-paced environments.”

Peter Pallotta

Screened

Senior Marketing Coordinator specializing in go-to-market content and sales enablement

Toronto, Canada11y exp

“IT-industry partnerships professional focused on sourcing and negotiating vendor relationships based on customer needs, using quoting workflows to structure mutually beneficial deals. Has leveraged vendor relationships to generate inbound client requests and used email + LinkedIn outreach to reach target audiences; no direct experience in gaming or creator ecosystems.”

“Quota-beating sales professional with experience across HR/payroll SaaS (Paychex) and e-commerce advertising/platform partnerships (Virtual Supply). Known for building pipeline via disciplined outbound + channel referrals and for quantifying business pain into clear economic ROI; also developed a channel-partner playbook that increased referrals by proactively fixing service issues.”

“Outbound-focused candidate coming from a Cushman & Wakefield internship where they built pipeline by prospecting potential office tenants through email, calls, and LinkedIn. They stand out for signal-based, highly personalized outreach to mid-market and enterprise stakeholders, with experience generating 2-4 qualified tours per week and thinking like a founding SDR around ICP design, account tiering, and repeatable cadence building.”

Clil Halevi

Screened

Junior Financial Markets Analyst specializing in quantitative research and FinTech

South Orange, NJ4y exp

“Analytics-focused candidate with internship experience at eToro and strong finance/product analytics exposure. They’ve worked on market sizing for Nordic stock launches, replicated a classic behavioral finance study using Python and CRSP data, and built cohort, retention, and churn analyses that informed onboarding and engagement recommendations.”

“ML/AI engineer with hands-on ownership of fraud detection and investigator-assist systems, combining anomaly detection with RAG-based LLM summarization in production. Stands out for translating research ideas into reliable cloud-deployed workflows that improved precision to 92%, cut review time by 25-30%, and increased investigator throughput by roughly 30% while also building reusable Python infrastructure for team-wide velocity.”

“Full-cycle B2B seller who says he has never relied on inbound and has consistently self-sourced deals through outbound prospecting. He highlights being the top salesperson at both companies he worked for and cites a 3-month, $150k one-off project sale equal to 10% of annual quota, involving senior research, IT, legal, and procurement stakeholders.”

“Engineer with hands-on experience embedding AI into software delivery workflows, including Claude-powered PR review, testing, debugging, and multi-agent coding pipelines. They pair AI automation with strong systems thinking around microservices, fault tolerance, multi-AZ design, caching, and security controls like WAF and rate limiting, and also experiment independently with RAG and multi-agent search projects.”