Vetted Cross-Functional Collaboration Professionals

“Robotics software engineer/researcher focused on perception, SLAM, and sensor fusion, with hands-on experience taking systems from simulation to embedded/real-time deployment. Led transparent-surface (glass) detection using GDNet and achieved a major real-time speedup (~7–9 FPS to ~30 FPS) while preserving >90% recall, and has built ROS-based EKF GPS-IMU fusion plus profiled/optimized Visual SLAM for performance and memory stability. Also brings production-style deployment skills via Docker/Kubernetes orchestration of ML inference services with autoscaling and model update rollouts.”

“Growth creative/performance marketer from BYJU'S (India) who runs disciplined creative experimentation across Meta, TikTok, and YouTube. Notably shifted messaging from feature-led to outcome/testimonial-led creative, delivering CPA down 27%, ROAS up 35%, and +11% trial-to-paid conversion, and has experience leading a small creative pod (editors + writer) with a rapid-iteration production system.”

“Frontend engineer at Mailchimp who leads end-to-end React/TypeScript features on the in-app homepage, including onboarding and campaign discovery components. Demonstrated measurable performance impact by cutting homepage LCP by ~2.5s and successfully shipped a major feature on an accelerated deadline using structured QA and staged rollout.”

“LLM/agentic systems practitioner focused on taking customer prototypes to production by hardening reliability (APIs, monitoring, security) and adding guardrails, evals, and incremental rollouts. Experienced diagnosing RAG/agent failures via structured tracing and fixing retrieval-quality issues (freshness checks, filters, schema enforcement). Also supports pre-sales by leading developer demos/workshops and building targeted POCs to address scalability/reliability objections and drive adoption.”

“Former Division I scholarship athlete and professional player who transitioned into professional coaching in Europe, including coaching at Triglav across U12–U18 and the pro team, plus the U20 Women’s Slovenian National Team. Experienced in identifying and recruiting talent via film, in-person scouting, and social media, and leverages connections with major university coaching staffs to track the best recruiting tournaments/camps.”

“Operated as a data-driven cross-functional leader during a major company transition, owning initiatives across sales forecasting, pipeline analytics, and GTM process changes. Built an executive operating cadence with dashboards and weekly briefing packets that reduced information-chasing and improved decision-making, and successfully mediated Sales/Finance forecast assumption disputes using a single-page, fact-based recommendation.”

“Enterprise CSM/program lead specializing in AI-powered search and workflow automation, who owned an end-to-end generative AI chatbot rollout that replaced manual Excel-based RFP processes and achieved 4.5/5 CSAT. Leveraged outcomes to expand the account into two additional use cases (tripling ARR) and has a track record of influencing product priorities (UI personalization) and driving Voice AI expansions tied to operational support workflows.”

“Customer Success/implementation leader with enterprise experience at ADP managing payroll tax compliance for major brands (e.g., McDonalds, Staples, Williams Sonoma) and coordinating closely with product/compliance/engineering to reduce errors and escalations. Also led cross-functional operational rollouts at Starbucks, improving customer satisfaction by 27%, and currently at Together Groups influencing product roadmap via therapist/participant feedback to lift onboarding engagement by 40%.”

“Application Engineer supporting customers in a financial trading context, experienced in coordinating urgent patch upgrades and stakeholder communications to minimize downtime. Has hands-on production incident response experience troubleshooting a critical dashboard outage caused by a bad SQL execution plan, escalating with DBAs and deploying a fast fix, then documenting full RCA via problem tickets.”

“Built Nexthire-AI, shipping an end-to-end LLM-powered resume–job description matching product (React + Node.js) using embeddings and retrieval to generate match scores and skill-gap recommendations. Improved post-launch engagement by making feedback cleaner and more actionable, and added production guardrails (validation, timeouts, fallbacks) to handle messy resume formats and AI API instability.”

“Customer-facing technical professional with hands-on ad tech experience enabling a non-SDK header-bidding integration by analyzing APIs/SDK behavior, documenting end-to-end requirements, and guiding the customer through release. Strong at tailoring technical demos for mixed executive/engineering audiences and partnering with sales on metrics-driven launches and beta rollouts. No direct on-the-job LLM/agentic systems experience yet, but interested in moving into that space.”

“Game developer/team lead on the FPS zombie project "Dreadful" who wore many hats (project management, systems/level/UI design, AI assist, QA) and iterated heavily via playtests and heatmap data. Built and tuned UE5 Blueprint-based crowd-control/gravity abilities with cooldowns and actor filtering, and made scope-smart feature swaps by reusing existing systems to hit deadlines.”

“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).”

“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.”

“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.”

“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).”

“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.”

“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.”

“Lifecycle/CRM marketer who built automated post-visit, re-engagement, and abandoned-cart programs with behavioral segmentation and UTM-based attribution. Delivered strong measurable impact in 90 days: +42% repeat visits, membership conversion from 3% to 15%, 1,500 five-star reviews, and growth to $100k MRR, while also aligning ops/front-desk messaging for a consistent customer journey.”

“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.”

“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.”

“Full-stack engineer with experience building secure, cloud-native document/workflow platforms handling high-volume customer and medical data across microservices on Kubernetes. Demonstrated impact improving performance via event-driven AWS architectures (Lambda + DynamoDB Streams) and strengthening compliance/security for S3-stored documents using IAM and KMS. Has delivered end-to-end APIs and UIs using Java/Spring Boot with Angular/React, plus Docker and CI/CD.”