Vetted Event-Driven Architecture Professionals

“Frontend-focused candidate with hands-on experience building a technically demanding AI-assisted survey/copilot interface at VSorts.ai while working as a research assistant at ODU. They show strong practical judgment around React architecture, TypeScript safety, and performance tuning, including diagnosing context-driven re-render issues and improving UX in real-time interactive applications.”

“Unity/C# developer who led an end-to-end refactor of a Duolingo-style gamified app’s core progression and UI system, redesigning architecture with MVVM/SOLID and event-driven UI updates. Delivered measurable performance improvements (rankings view from sub-35 FPS to ~55–60 FPS) plus draw-call reductions using UI Toolkit and sprite atlases. Also supported Photon-based VR multiplayer (Meta Quest) in an educational accident-simulator, focusing on real-time debugging and sync strategy.”

“Software engineer using AI heavily in day-to-day development, especially for cross-platform packaging and Bash-heavy workflows. Built a feature to package a Node.js app into Windows and Linux installers/executables, and has hands-on experience validating LLM-generated database reporting through prompt evals and code review.”

“Application security engineer/advisor with hands-on experience securing AWS-based, containerized services and embedding SAST/DAST/SCA and container scanning into GitHub/GitLab CI/CD. Drove measurable outcomes (50% faster vuln triage, 40% fewer misconfigs) and has deep operational troubleshooting experience in Kubernetes (agent failures due to CPU throttling/network policies), plus pragmatic strategies to reduce developer friction and handle API rate limits.”

“Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.”

Muhammad Midhat

Screened

Senior Full-Stack/Backend Engineer specializing in APIs, distributed systems, and AI integrations

9y exp

“AI/backend engineer who has built and scaled production LLM-powered SaaS features (document assistant + compliance review agent) on a Node.js/TypeScript + Postgres/Redis stack deployed to GCP Kubernetes. Demonstrates strong production reliability chops—async queueing, autoscaling, observability, and database tuning—with quantified wins (p95 latency -60%, query 4s to <200ms) and robust AI guardrails (strict RAG, schema validation, citations, HITL).”

“Frontend/product engineer who owned major parts of the Data Lab at Info42, a SaaS intelligence platform for the Indian startup ecosystem used by investors, founders, and researchers. Stands out for building data-dense React/TypeScript experiences with hybrid SSR/CSR, performance-focused dashboard architecture, and close backend collaboration on API contracts, search/filtering, and subscription-aware access.”

“Backend/data engineer with hands-on production experience building a FastAPI Python service on AWS for real-time AI workflows (Postgres/Redis, containers behind API Gateway) with strong reliability practices (JWT auth, timeouts/retries, health checks). Has delivered AWS infrastructure using Terraform + GitHub Actions across environments, built Glue ETL pipelines into Snowflake with idempotent recovery, and modernized legacy batch workflows via parallel-run parity validation and phased cutovers.”

ALEKSANDR BOIARINTSEV

Screened

Senior Unity Engineer specializing in mobile game development

14y exp

“Unity/C# gameplay engineer with hands-on ownership of AI and multiplayer systems, including a modular ship AI system and a real-time battle flow built with Mirror. Stands out for combining strong gameplay architecture and network debugging with pragmatic AI/LLM-assisted development workflows, plus proven experience collaborating across distributed teams and time zones.”

“Full-stack engineer who was the sole cross-stack builder on a marketplace serving 400,000+ users, owning everything from React dashboards and core APIs to AWS infrastructure and scaling improvements. Stands out for combining strong technical depth with product instinct—shipping a payment-on-delivery feature in a week that increased sales 5x, and proactively building AI-powered internal tooling to eliminate manual recruiting workflows.”

Mohammed Elwaei

Screened

Junior Software Engineer specializing in systems, AI, and research

Tampa, FL2y exp

“Engineering student with hands-on robotics and simulation experience: led an Arduino line-following “Batmobile” robot project used as a K–12 teaching tool and won best design in a 100+ student section. Also implemented SARSA reinforcement learning for a 16-DOF robotic hand in MuJoCo, optimizing the state representation to train efficiently on a CPU, and brings strong cloud/container skills (Docker, Kubernetes, AWS certs).”