Vetted Cross-Functional Collaboration Professionals

“Product leader with a rare mix of healthcare, HR tech, mobile, and AI experience. They rebuilt UPMC's member app for 3M members while pioneering a product-based funding model inside a large enterprise, and later drove 80%+ revenue growth at JazzHR by reshaping marketplace UX for SMB buyers. Their AI work is notably human-centered, with explicit fairness, compliance, and approval guardrails.”

“Senior software developer with hands-on experience building real-time React + TypeScript dashboards and map-based visualization tools for large datasets. Stands out for practical frontend performance work in production, including memoization, virtualization, debouncing, lazy loading, and Google Maps optimization for thousands of records or points.”

Catherine Merritt

Screened

Senior investment banking associate specializing in debt advisory and consumer transactions

New York, NY8y exp

“Investment banking associate with debt advisory experience who has built highly targeted investor pipelines and helped raise capital for sponsor-backed acquisitions. Stands out for combining rigorous investor outreach and process management with strong judgment on business quality, market risk, and competitive positioning across private equity, technology, and startup-related mandates.”

Yuanmu Li

Screened

Junior Software Engineer specializing in full-stack web applications

Sunnyvale, CA2y exp

“Full-stack product engineer in the health and wellness space who has owned prescription workflow features end to end, including React/TypeScript frontend work and GraphQL-backed API aggregation across messy downstream systems. Also shipped an internal OpenAI-powered support assistant with grounded context, structured outputs, validation, and human-in-the-loop safeguards—showing strong practical judgment at the intersection of healthcare workflows and applied AI.”

“Performance marketer focused on high-spend acquisition, having personally owned a ~$500K/month budget driving small business credit card applications for a large US banking client. Experienced running cross-channel programs (Google/Bing search plus LinkedIn/Reddit prospecting) with rigorous experimentation (Drafts & Experiments, bid strategy and match-type tests) and long-horizon measurement to validate sustainable CPA and conversion-rate improvements.”

“Insurtech R&D leader turned CTO with 25+ years across telecom, DoD, automotive, and commercial insurance. Built patented AI-driven insurance document ingestion (>95% accuracy with 1–3 samples) and led Azure-based backend/service development while managing up to 15 engineers at a commercial P&C MGA that reached a ~$60M book of business (~30 loss ratio) before run-off due to paper issues. Known for hands-on discovery (including field inspections) and rapid MVP delivery, including a risk-inspection iPad app that auto-generated draft reports.”

“Growth/marketing operator with experience improving revenue conversion through a cross-functional accelerated sales/compliance workflow and measurable multi-channel campaigns (landing pages, retargeting, UTM/tagging, Salesforce attribution). Previously ran an insurance-industry acquisition experiment, pivoting from social to targeted email to hit engagement goals with an 85% signup rate. Also sources industry leaders to create and promote thought-leadership content (case studies, white papers, guides).”

“LLM/RAG engineer with production deployments in highly regulated domains (Frost Bank and GE Healthcare). Built secure, explainable document-grounded Q&A systems using LoRA fine-tuning, strict RAG with confidence thresholds, and citation-based responses; also established evaluation/monitoring (golden QA sets, hallucination tracking, drift) and achieved ~40% latency reduction through retrieval/prompt tuning.”

“LLM/RAG engineer who took a PDF-heavy agent from prototype to production for an Africa-based client, combining Pinecone retrieval with robust PDF parsing (unstructured.io, OCR, structured table extraction). Demonstrates strong production mindset (eval metrics, prompt hardening, security/scalability) and measurable optimization impact (30% efficiency gain, 2x faster responses), and has helped close deals by building security-focused POCs for skeptical IT stakeholders.”

“Longform YouTube editor currently serving as Food52’s sole editor for YouTube episodes, with prior experience at Maul Media, PES Group/Skypunch Creative, Tubi, and Food52. Has led consistency and quality across series by managing and giving notes to an overseas postproduction agency, and brings a retention-driven approach (cold opens, pacing, music, b-roll, and motion/typography) through final color, mix, and QA.”

“Healthcare operator/strategic program lead currently at Time Care working directly with national health insurance payer partners to translate executive priorities into operational initiatives (e.g., patient marketing, data interoperability, in-home member access). Previously led the build-out and day-to-day execution of a new value-based performance risk division at Stellar Health, combining metrics-driven operations with long-term strategy and executive alignment.”

“Backend engineer who has delivered large, measurable performance wins (10x throughput, 67% latency reduction) by combining Flask microservices, Redis caching, and AWS autoscaling/observability. Has hands-on depth in SQLAlchemy/Postgres optimization and production scaling pitfalls (cache consistency, connection exhaustion), plus experience deploying real-time ML inference (XGBoost) on AWS Lambda and building secure multi-tenant Kubernetes isolation.”

“Paid media specialist with experience owning high-spend campaigns and shifting traditionally print-focused clients into digital (direct-sold + programmatic). Uses Xandr DSP and a KPI-driven full-funnel approach across Meta/Google/TikTok, with hands-on optimization, creative/audience testing, and campaign triage (e.g., resolving ad fatigue via frequency caps).”

“Built and shipped a production LLM-powered internal operations automation platform using LangChain RAG (Pinecone) and FastAPI microservices, deployed on AWS EKS, serving 10k+ daily interactions. Implemented a rigorous evaluation/observability stack (golden datasets, prompt regression tests, MLflow, retrieval metrics, hallucination monitoring) that drove hallucinations below 2% and improved reliability, and partnered closely with non-technical ops leaders to cut manual lookup work by 60%+.”

“QA professional from enterprise SaaS/cloud environments (Exeter; previously Boeing programs) with strong UI and end-to-end workflow testing experience. Known for rigorous defect investigation and validation across UI/API/DB layers (including SQL checks) and disciplined tooling/workflow in Jira/Azure DevOps/ALM Octane; has QA lead experience supporting release readiness and go/no-go decisions. No professional game studio/AAA shipping experience yet, but experience maps to complex, high-pressure release cycles.”

“Customer Success leader with deep ad tech expertise who owned enterprise accounts end-to-end, including Bank of America, driving ad fraud down from ~8–10% to <1% in ~3 months and resolving spikes through data-driven investigations. Experienced partnering cross-functionally as a PM to build analytics dashboards and using user stories to align Product/Engineering/Sales and influence roadmap priorities; also supports land-and-expand via paid benchmarking/industry data upsells.”

“Software engineer with hands-on ownership of both fintech checkout improvements (saved payment methods/one-click checkout with tokenization and feature-flag rollouts) and production LLM/RAG systems for customer support. Demonstrates strong operational rigor via guardrails, evaluation loops integrated into CI/CD, and scalable data pipelines handling messy PDFs/CSVs/logs with reliability and observability.”

Yaswanth Thota Thota

Screened

Mid-level Data Analyst specializing in financial risk and healthcare analytics

AZ, USA4y exp

“AI/ML engineer focused on real-time, production-grade LLM systems, with a robotics-adjacent mindset around latency/accuracy tradeoffs and modular pipelines. Built a scalable RAG-based assistant orchestrated as microservices on Kubernetes with Kafka async messaging, ONNX/quantization optimizations, and monitoring (Prometheus/Grafana), citing a ~35% hallucination reduction; has also experimented with ROS Noetic/Gazebo to understand ROS concepts.”

Lexi Wood

Screened

Senior Recruiter specializing in full-cycle, high-volume talent acquisition

13y exp

“Senior Recruiter at Gusto with 10+ years spanning agency recruiting ops and in-house TA, leading a CX Invite team and coaching 3–5 recruiters. Known for scaling high-volume contact center hiring (20 hires/month) by redesigning interview workflows—cutting steps, introducing batch interview days, and driving measurable gains (candidate NPS +20, offer acceptance +10%). Experienced with Greenhouse, ModernLoop scheduling automation, LinkedIn Recruiter extensions, and Tableau recruiting dashboards.”

Yashwanth Naidu

Screened

Mid-level Full-Stack Developer specializing in cloud-native Java/React microservices

USA4y exp

“Backend/DevOps-focused engineer with hands-on ownership of Java Spring Boot microservices on AWS, including Kubernetes deployments, Jenkins-based CI/CD, and GitOps-driven infrastructure-as-code (Terraform/Helm). Delivered measurable performance gains (25% faster APIs) and built a Kafka real-time streaming pipeline with strong observability (Prometheus/Grafana/CloudWatch) and rapid rollback practices that cut production downtime from hours to minutes.”

Szymon Kościelniak

Screened

Senior Unity Developer specializing in mobile and VR/PC games

Warsaw, Poland7y exp

“Unity gameplay engineer from Moonactive who rewrote the gameplay engine for ZenMatch, maintaining two engines in parallel via a separation layer to improve robustness/scalability and make new content easier to ship. Also implemented multiplayer for a client prototype using the Onion networking framework and is familiar with Photon Fusion concepts.”

Esha Gangam

Screened

Mid-level AI/ML Engineer specializing in LLMs, RAG, and MLOps

USA4y exp

“GenAI/ML engineer from Deloitte who built and shipped a production RAG-based internal search assistant for support teams, delivering quantified operational gains (20% effort reduction, 35% faster manual lookup). Experienced in enterprise-grade LLM reliability (grounding/hallucination control), compliance/security constraints, and rapid release cycles using CI/CD, MLflow, and orchestration tools (Airflow, Databricks Jobs, LangChain).”

Mike Khorrami

Screened

Director-level Engineering Leader specializing in enterprise SaaS and cloud-native platforms

Woodland Hills, CA25y exp

“Engineering leader/player-coach who modernized a legacy C#/SQL Server system to Snowflake + Python on GCP, enabling ~30x scale and supporting hundreds of millions of transactions per day per customer. Strong in architecture tradeoffs (Snowflake vs Databricks), production reliability (New Relic, logging/alerting), and lightweight process improvements like a rigorous Definition of Done and structured PR reviews.”