Vetted Containerization Professionals

“Cloud engineer and cloud OS SME (Chevron) who productionized large-scale security remediation—using Tanium and Ansible to address CIS benchmark noncompliance across 5,000+ servers with robust logging and RCA handoffs. Also drives adoption of a geospatial AI refinery inspection product by consolidating siloed imagery into an enterprise geospatial database, and presents internally on agentic/LLM tooling (LangChain/LangGraph, LangSmith observability).”

“Frontend engineer who has led enterprise-scale UI delivery end-to-end on a microservices platform, designing modular Angular SPAs (v12-17) tightly aligned to Spring Boot REST APIs. Emphasizes quality and release velocity through layered testing (Karma/Jasmine), CI/CD automation (Jenkins/Azure DevOps), performance tuning with RxJS/lazy loading, and incremental rollouts with close product/design/QA collaboration.”

“AppSec-focused engineer with experience supporting federal case management platforms at Armedia (SAST/DAST/SCA, threat modeling, injection remediation) and leading production troubleshooting for Ecobank’s virtual card service across 33 African affiliates. Known for using deep log/SQL/trace analysis to pinpoint TLS and query issues, documenting clear repro evidence, and driving measurable outcomes like eliminating recurring SQL vulnerabilities and stabilizing activation success rates.”

“Fintech startup veteran (8+ years) building TrustRelay, a control-plane product between ERPs and banks to verify vendors, enforce pre-flight payout policies, automate reconciliation, and produce deterministic audit evidence. Currently at MVP stage and planning to pursue Founders Institute Boston Sprint 2026 while lining up design partners and raising pre-seed/seed.”

“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.”

“Built and productionized an AI agent-based in-app assistant at ISAFE to guide users through document workflows, piloting with a partner school district and then rolling out across districts. Combines hands-on LLM/agent debugging (logs, fallback rates, state/context tracking) with strong technical demos and sales enablement through live workflows and pilot programs (e.g., Osceola School District).”

“Master’s student and Deep Learning teaching assistant who teaches LLM/VLM fine-tuning (including LoRA) and built a Hugging Face LLM fine-tuned for unit conversion, improving reliability by analyzing synthetic data and filling missing number-system conversion examples. Also implemented the Raft consensus protocol using gRPC in a distributed systems course with correctness validated by unit tests.”

“Software engineer with experience at Dollar Shave Club and Mudflap, focused on user-driven product delivery and cross-team alignment. Built an Okta SSO-based internal portal (React/Node) centralizing access to org services, and has hands-on experience diagnosing LLM/agent workflow issues via instrumentation and systematic triage. Known for translating between product/customer needs and engineering tradeoffs to ship quickly while planning stabilization and scalability.”

“Software engineer with startup and capstone experience who improved an ~8-hour database refresh workflow by moving API calls to asynchronous execution and then addressing API rate limits via throttling. Emphasizes performance profiling/logging, strong developer onboarding documentation practices, and disciplined Agile/Jira bug triage and expectation-setting with stakeholders.”

“Software engineer with experience spanning an SEL internship and Walmart, combining backend/data pipeline work (Python, Kafka, relational DBs) with DevOps practices (Docker, Grafana, GitHub/Jenkins CI/CD, GitOps). Notably contributed to a REST-to-GraphQL migration aimed at reducing cloud utilization and implemented testing strategies to validate the transition.”

“LLM/agentic workflow specialist with healthcare deployment experience who has taken LLM-based automation from prototype to production using operator-in-the-loop validation, RAG-style retrieval, RBAC, and monitoring for sensitive data compliance. Demonstrated real-time incident resolution (retrieval timeouts due to network/proxy misconfig) and strong GTM support—hands-on developer workshops and sales demos translating technical safeguards and real-time ETL into measurable ROI (70% ops reduction, ~$200K/year savings).”