Vetted Kanban Professionals

“Backend engineer who built and owned an AI-powered SMS survey platform for a nonprofit serving at-risk communities (internet-limited users), using Cloudflare Workers + Twilio and a state-machine survey engine. Scaled it to ~10k active users with near-zero downtime, added English/Spanish support, and iteratively improved LLM behavior (Claude 3.7 Sonnet) to handle nuanced, real-world SMS responses reliably.”

“C-suite operator across multiple private-equity portfolio companies now raising capital for a thesis focused on meeting AI datacenter energy demand via AI-driven monitoring/inspection and condition-based maintenance for nuclear and natural gas generation. Has early traction with PE firms and is engaging target acquisition candidates, aiming to serve as an operating partner or CEO to execute the value-creation plan. Previously delivered a mobile-enabled workflow improvement for mutual fund valuation using HTML5 responsive design and CAB-driven agile development.”

“Backend/data engineer with experience at JPMorgan building near real-time payment risk and fraud scoring pipelines using Python, Spark Structured Streaming, and Delta Lake, emphasizing auditability, security, and data correctness (dedupe/late events) to reduce false positives. Also led a legacy-to-cloud migration of claims/eligibility data at Cogna with parallel runs, phased rollout, and healthcare-specific validation (ICD-CPT mapping).”

“Frontend-focused engineer operating at a staff level with experience at Amazon and startups, known for rescuing high-impact, frontend-heavy systems through architecture, performance, and quality improvements. Delivered outsized results including cutting load times from ~90s to ~3s, raising test coverage from <1% to >80%, and enabling multi-team adoption of modern state management via training sessions for 50+ engineers.”

“Technology executive (VP/SVP Engineering, CTO/co-founder) with ~17 years of roadmap execution and the last 7 in senior exec roles. Notably led an AI-first strategic pivot when generative AI emerged—creating the AI product strategy, reskilling teams, and shipping initial AI features—while also scaling engineering orgs using SPACE metrics and driving major architecture decisions (custom reporting with React + Redshift) to close competitive gaps.”

“Software engineer with strong end-to-end ownership across frontend, backend, data, and infrastructure, including real-time systems (Kafka/Postgres) and observability (Datadog). Built and productionized an AI-native RAG support assistant (OpenAI embeddings + Pinecone) with prompt/guardrail design, achieving 48% agent adoption and 30% faster responses. Experienced in legacy modernization and reliability work using feature flags, event/transaction replay, and rapid embedded delivery.”

“Operations and customer-facing leader with deep last-mile logistics expertise from running a critical extra-large Amazon logistics hub end-to-end (inventory accuracy, throughput, yard efficiency), including scalable process improvements adopted across Amazon XL sites. Strong cross-functional and partner management (DSPs/carriers, engineering ops) with rapid incident resolution and VOC-to-product translation (geofence/map fixes). Also demonstrates land-and-expand growth motion from Cisco, expanding a standardized software platform across multiple global sites.”

“Full-stack engineer focused on high-throughput document/financial data platforms, building Angular/React front ends and Spring Boot microservices with Python/Flask services for heavy processing. Experienced in designing non-blocking, asynchronous workflows (Celery/RabbitMQ) and deploying containerized systems to AWS ECS with auto-scaling and CloudWatch monitoring.”