Vetted Collaboration Professionals

Matthew Knecht

Screened ReferencesStrong rec.

Executive Chief of Staff / Legal Operations leader in nonprofit public defense

Neptune, New Jersey11y exp

“Former attorney turned senior operations/Chief of Staff-style leader with ~20 years balancing strategy and day-to-day execution. Led multi-office expansions (e.g., launching a new Detroit office) and built a professionalized finance function with audit-ready controls to free up CEO bandwidth. Also led an emergency COVID-era shift to remote operations while safeguarding safety, morale, and revenue.”

Rathi Anand

Screened ReferencesStrong rec.

Senior Full-Stack Software Engineer specializing in Insurance, FinTech, and AI/ML applications

Dublin, CA17y exp

“AI/backend engineer who fine-tuned and deployed a production LLM chatbot using a LangChain + FAISS RAG pipeline, improving latency with PEFT/LoRA and driving strong business impact (40% customer adoption; 92% satisfaction). Also served as technical lead on a data aggregation system for underwriting/quoting, introducing GraphQL for more efficient, maintainable querying and applying CDC to keep cached ranking data fresh at scale.”

“Entrepreneurial film producer with 30+ years creating award-winning media who has raised capital for multiple feature-length projects and navigated film-finance realities (escrow funding timelines, investor commitment risk). Applies a business lens to ventures (market sizing, scalability, differentiation) and builds cost-effective GTM using Meta/Facebook ads backed by strong creative storytelling and a broad creative network.”

“Frontend engineer/lead who has owned end-to-end architecture for large customer-facing React/Next.js platforms, emphasizing strong API contracts (GraphQL + TypeScript codegen), automated quality guardrails, and performance as a feature. Built complex workflow UIs including a multi-step patient booking flow for New York’s largest healthcare provider and an admin dashboard handling 400,000+ USDA ingredient records, with disciplined state management, staged rollouts, and real-user monitoring.”

“Frontend engineer experienced delivering React + TypeScript dashboards end-to-end, including real-time updates via WebSockets and scalable component architecture. Has improved inherited codebases by building shared component libraries and performance optimizations (lazy loading/memoization), reporting ~20% faster feature delivery, and ships major features with QA rigor and feature-flagged rollouts driven by analytics and user feedback.”

“Backend Python engineer who built core services for a telecom automation engine monitoring thousands of routers in real time and auto-generating support tickets. As the sole Intelygenz engineer on the project, they diagnosed a costly Terraform/GitLab CI/CD resource-leak issue in AWS and implemented a cleanup redesign that eliminated orphaned resources and reduced client cloud spend. Also shipped applied-AI ticket triage suggestions via API integration and built an end-to-end Gmail-to-ticket ingestion workflow.”

“Paid media performance marketer with hands-on ownership of a $100K/month higher-education account spanning LinkedIn, Google Ads, and programmatic display/video. Built a structured 6-week experimentation approach (2-week test intervals) and used geo-fencing to reach military audiences, exceeding attendance goals for online MBA informational sessions (avg ~45 attendees vs 30 target). Strong in diagnosing stalled performance and translating complex metrics into client-friendly insights.”

“ML engineer/data scientist who built and deployed a real-time fraud detection platform at Citi on AWS SageMaker, processing 3M+ daily transactions and improving fraud response by 28%. Combines unsupervised anomaly detection (autoencoders) with ensemble models (XGBoost/Random Forest) plus Airflow/Step Functions orchestration, drift monitoring, and explainability (SHAP) to keep models reliable and compliant in production.”

“Cloud/hybrid infrastructure engineer with McKesson experience migrating tightly coupled healthcare applications to microservices on AWS EKS. Strong in IaC-driven standardization, CI/CD automation, and production observability (CloudWatch/Splunk/Prometheus/tracing), with demonstrated ability to debug complex incidents spanning Kubernetes and cloud networking.”

Aakanksha Desai

Screened

Junior Full-Stack Software Engineer specializing in React, Kubernetes, and AI-powered apps

Scottsdale, Arizona2y exp

“Backend/DevOps-leaning engineer managing multiple customer service platforms end-to-end (requirements through deployment). Built an in-house Python monitoring/alerting solution for Salesforce-to-Java contact sync jobs (Snowflake dependencies) that increased uptime ~60%, and helped modernize delivery by moving the team from manual releases to automated Jenkins-based deployments while coordinating an Oracle EBS→Fusion transition with business/data/IT stakeholders.”

Alistair Lewis

Screened

Senior Video Editor & Voice Over Artist specializing in motion picture marketing

Austin, TX26y exp

“Video editor with years of deep Adobe Premiere Pro/After Effects experience, including sports docuseries work for Apple TV+ where they navigated IOC/Olympic and brand-logo restrictions by masking logos without disrupting motion or storytelling. Also has significant Paramount+/MTV promo and cross-platform (16:9 + social/YouTube) editing experience, with a strong emphasis on narrative tone, pacing, sound design, and mentoring junior editors.”

“Backend/data engineer who builds Python (FastAPI) data-processing API services for internal analytics/reporting, emphasizing modular architecture, async performance tuning, and reliability patterns (health checks, retries, observability). Also migrated legacy on-prem ETL pipelines to Azure using ADF/Data Lake/Functions and implemented a near-real-time ingestion flow with Event Hubs plus watermarking to handle late events and deduplication.”

PAVEL A ASPIAZU

Screened

Senior Paid Media (SEM/PPC) Manager specializing in Google Ads and Meta performance marketing

McLean, VA26y exp

“Paid media performance marketer with agency experience owning a high-spend account for ArcPoint Labs, running multi-channel Google Ads (search/display) and Meta campaigns to drive medical testing appointments and sales. Reported lifting ROAS from ~2x to ~6–7x within ~18 months while supporting expansion from 30 to 60 U.S. locations, using disciplined attribution, constant A/B testing, and structured campaign health audits.”

“Audio engineer with 10 years of experience using Pro Tools for sound design and music/SFX editing to picture. Has delivered educational longform content for Nearpod, including culturally specific music choices (e.g., oud-driven Middle Eastern cues) and prioritizes dialogue intelligibility through ducking and mix adjustments; typically turns projects around in 1–2 days using templates.”

“Audio/music editor working across longform narrative video and theatrical production, focused on shaping emotional beats through precise timing (delayed builds/drops, extended transitions) and cohesive mixing. Uses Audacity and Ableton/DAWs with EQ, compression, automation, crossfades, and noise reduction, and works closely with editor/producer direction to iterate quickly (typical ~1 week turnaround).”

“B2B GTM and partnerships professional from Canon Canada who coordinated multi-technology partner ecosystems (IRIS, Therefore, Artsyl) to launch Intelligent Pay, driving a 40% lift in qualified leads and 60% growth in qualified opportunities. Known for tight cross-functional execution and data-driven optimization, including creating a 5-year ROI calculator that improved webinar engagement and post-event demo conversion.”

“Candidate’s primary change-management approach centers on employee dialogue sessions and coaching, focusing on explaining business results and organizational climate to build employee understanding and support for organizational changes.”

“Built a production LLM-RAG system at McKesson to let internal healthcare operations teams query large volumes of unstructured operational documents via natural language with source-backed answers, designed with HIPAA/FHIR compliance in mind. Demonstrated strong production engineering across hallucination mitigation, retrieval quality tuning, and latency/scalability optimization, using LangChain/LangGraph and Airflow plus rigorous evaluation/monitoring practices.”