Vetted Root Cause Analysis Professionals

“Organizational effectiveness and L&OD leader with experience managing a global volunteer team and partnering closely with senior leaders to drive enterprise culture change. Demonstrated measurable impact improving employee engagement (+31 points in 6 months) and applying Lean/appreciative discovery to streamline regulatory workflows to meet state-mandated timelines.”

Sumer Joshi

Screened ReferencesStrong rec.

Senior Full-Stack Engineer specializing in backend systems and AI applications

Remote13y exp

“Candidate is deeply focused on AI-native software development, using a deliberate planner/implementer agent workflow with tools like Cursor, Claude, and Kimi. They also built a personal project called Config Proctor, an AI-agent-driven Terraform/AWS self-healing system that identifies infrastructure configuration gaps and proposes fixes.”

“Operations-focused leader specializing in rebuilding and scaling marketing/product/commercial operating models during rapid growth and leadership change. Known for implementing integrated quarterly planning, intake/resourcing, and KPI reporting systems that de-silo teams (including B2B enterprise, sales, and marketing) and create predictable execution, clearer decision rights, and scalable operating rhythms.”

“SharePoint specialist with 10+ years delivering end-to-end business process solutions (forms, workflows, pages) and leading on-prem to SharePoint Online migrations. Has hands-on experience building SPFx React + TypeScript dashboards integrated with Nintex workflows, and has solved scale issues in large libraries (50k+ items) by redesigning permission architecture and archiving content. Also partners with product/design on Power BI dashboards, creating layered executive-to-operator UX with drill-through detail.”

“Backend/AI engineer who has built a rule-service platform on AWS and evolved it into an agentic RAG system using LangChain, ReAct, tool calling, and LLM-as-judge review. Notable for combining heavy AI-assisted development with production safeguards like manual CR, CloudWatch monitoring, fallback strategies, benchmark testing, and user-feedback-driven model improvement.”

“Player-coach engineer/lead on a high-scale research integrity platform ("Lighthouse") that flags fraud/manipulation signals across ~3M academic manuscripts per year. Owns architecture decisions (ADRs), implements across Go/Java/React services, and introduced NLP (SciBERT embeddings + human-in-the-loop) to assess out-of-context citations while also handling production incidents with a data-consistency-first approach.”

“Backend/infra-focused engineer with experience spanning Go-based MCP servers for an AI-assisted Kubernetes on-call diagnosis chatbot and a Python/Flask PagerDuty automation integration. Previously at Tesla, optimized high-volume battery test data in PostgreSQL using JSONB, partitioning, and a timestamp normalization pipeline; also built PyTorch PINN training workflows and achieved a 20x speedup via batch vectorization.”

Mitul Sheth

Screened

Senior Engineering Manager specializing in cloud security and graph-based data platforms

Seattle, WA9y exp

“Engineering leader at Sysdig Secure who pitched and prototyped a model data platform that initially got rejected, then proved value by migrating the CIEM offering and expanding adoption across multiple verticals. Now owns the CIEM suite plus the broader Sysdig Secure data and reporting platforms, manages 14 direct reports, and also leads a pilot AI team while remaining hands-on weekly.”

“Backend/full-stack engineer (Amazon experience) who built an AWS-based integration testing platform using Flask, ECS, Docker, and CloudWatch—cutting 1000+ test cases from ~5 hours to ~30 minutes while improving log visibility for non-engineering users. Also led a zero-downtime EU region migration with rigorous ORR testing, and built a Kinesis/Firehose/S3 + Glue/Spark replay mechanism for resilient data recovery. Side project: reproducible, cost-efficient LLM hosting platform on EKS using CDK and Karpenter for scale-to-zero.”

“Robotics software lead on a safe human-robot interaction project for search-and-rescue and at-home physical therapy using a Franka Emika Panda, Azure Kinect, and 3D pose estimation. Built ROS-based vision-to-control pipelines that fuse homogeneous transforms with wrench feedback, and implemented max-manipulability/null-space strategies (QP + manipulability Jacobian) to avoid singularities and improve real-time trajectory behavior.”

“Data/analytics engineer who stood up foundational pipelines and services at Meta for the Ray-Ban Meta launch—building a retailer sales ingestion system (S3/Hive) with rigorous DQ checks, 1-day SLAs, and dimensional rollups used by GTM to track sales trends. Also built a modular multi-retailer web-scraping system for out-of-stock alerts and shipped internal GraphQL APIs and an n8n-like workflow builder using serverless (AWS Lambda) with strong testing and observability practices.”