Vetted Event-Driven Architecture Professionals

“Full-stack engineer with experience spanning enterprise document platforms and AI-powered clinical education products. Built secure TypeScript/Next.js features end to end, designed multi-model LLM workflows with validation and monitoring in production, and modernized a legacy PHP monolith through blue-green deployment and incremental migration without outages.”

“Backend engineer specializing in event-driven/serverless systems and Python/FastAPI APIs. Built a scalable PDF-to-structured-data pipeline on AWS (S3, Lambda, Step Functions, Textract, DynamoDB, SNS) with strong observability (p50/p90/p99) and reliability patterns (idempotency, retries/DLQs), and has led zero-downtime migrations using feature flags, dual writes, and incremental rollouts.”

“Unity developer with VR/multiplayer experience at Gemba, building gamified manufacturing coaching/training experiences (e.g., Coaching Kata) using dialogue trees, state machines, and scoring logic. Also implemented Photon Fusion-synced presentation features for multi-user chat rooms and stepped in to support UV/optimization work for Quest and QA in a lean team.”

“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”

“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”

“Built and shipped a production AI/LLM agent-based, event-driven credit underwriting/decisioning workflow that automated document understanding, retrieval, risk scoring, and compliance checks—cutting turnaround from ~90 days to ~5 minutes while boosting throughput 200x+ and approvals ~50%. Experienced with Airflow/Prefect orchestration, Redis/RabbitMQ queues, rigorous eval/monitoring, and close collaboration with non-technical underwriting teams.”

“Full-stack engineer with fintech payments experience who shipped an end-to-end guest invoice payment flow emphasizing reliability under retries/failures (idempotency via DynamoDB, async processing with Lambda/EventBridge/SQS + DLQ). Also built a FastAPI backend with Cognito/JWT + scoped guest tokens and a polished React/TypeScript checkout UX, and has performance-focused Postgres/Redis design experience for flash-sale e-commerce workloads.”

“Built and shipped production AI search and RAG features for a university portal, including an embeddings-based semantic search layer and a documentation-grounded assistant with citations and anti-hallucination prompting. Also developed scalable, reliable data pipelines integrating Google Ads/GA4/Meta APIs for automated reporting, with strong focus on evaluation loops and retrieval quality improvements (hybrid search, chunking, query-log driven iteration).”

Benjamin Agyekum

Screened

Senior Full-Stack Software Engineer specializing in AI-powered web and mobile applications

California, USA8y exp

“Backend/full-stack TypeScript engineer who has owned end-to-end, production-oriented systems including an AI property management platform (NestJS/Postgres/WebSockets on Google Cloud using Gemini Vision) and an AI logistics platform (Node/Redis queues/Postgres) focused on low-latency, correctness, and observability. Also designed a public GraphQL API and TypeScript SDK for education partners at StudyFetch, citing 40+ partner integrations in the first quarter.”

Himanshu Shivkumar Garg

Screened

Senior Full-Stack Java Developer specializing in Healthcare IT and FinTech

Florida, USA4y exp

“Built and owned an end-to-end HIPAA-compliant Next.js/TypeScript portal at Casedok using a microservices, event-driven architecture with Temporal-orchestrated SAGA workflows. Emphasizes production-grade quality (strict typing, Jest integration tests, CI + mandatory PR reviews) and operational reliability/observability (circuit breakers, idempotency, Prometheus alerts), plus experience designing external-facing APIs with Swagger, JWT, and backward-compatible versioning.”

Sanskar Pandey

Screened

Junior Full-Stack Java Developer specializing in FinTech microservices

OH, USA3y exp

“Full-stack engineer with production experience building a real-time order tracking system using React + Firebase/Firestore, emphasizing audit-friendly data modeling, state-machine-based status transitions, and strong post-launch ownership (performance, security rules, reliability). Demonstrated measurable frontend performance gains by isolating real-time updates to dynamic components and applying memoization, plus backend reliability patterns (idempotency, retries) and SQL query/index optimization validated with EXPLAIN ANALYZE.”

“Built and deployed real-world systems end-to-end across security and healthcare contexts: led a 3-person team delivering a university vehicle tracking system with 30% cost savings and 1-year post-launch monitoring. Also implemented a healthcare RAG chatbot with adaptive query routing that cut LLM costs by 40% while maintaining answer accuracy, and has experience debugging non-deterministic LLM behavior in DevOps pipeline automation.”

Patrick McNealy

Screened

Senior Game Developer specializing in multi-platform gameplay and interactive systems

Boulder, CO11y exp

“Gameplay/engine programmer with hands-on experience spanning Unity simulation systems, LLM-driven character presentation, C# multiplayer networking, and platform adaptation for both mobile and VR. Particularly interesting for teams needing someone who can architect modular systems, optimize for scale/performance, and bridge AI-driven interaction with polished runtime animation behavior.”

Fransiscus Prayoga

Screened

Senior Unity Developer specializing in AR/VR, MX, and game technology

Jakarta Pusat, Indonesia9y exp

“Game programmer focused on Unity/C# systems, multiplayer, and VR, with a strong emphasis on performance-conscious architecture and practical shipping constraints. Particularly interesting for teams needing someone who can bridge gameplay engineering, backend-integrated tooling, Photon multiplayer, and hardware-connected immersive experiences.”

“Built and owned a production-grade RAG/LLM support automation system on AWS using GPT-4, Pinecone, FastAPI, and Redis, taking it from initial experimentation through deployment, monitoring, and iterative improvement. Their work reduced support workload and ticket volume by about 40%, improved CSAT and self-service resolution, and they also created shared Python/LLM infrastructure that accelerated other teams' delivery from weeks to days.”

“Software developer who actively integrates AI coding tools like ClaudeCode, Codex, and ChatGPT into day-to-day development for brainstorming, planning, and reducing boilerplate work. They show thoughtful awareness of agent limitations such as hallucinations and use markdown-based project context files to improve output quality.”

“Software engineer with a strong builder mindset who has worked across ML, backend, and frontend systems. Notably built an AI-driven predictive autoscaler for Kubernetes from scratch using Prometheus, TensorFlow, Flask, and Spring Boot, and also delivered customer-facing automation features in financial document processing by working directly with auditors to translate domain rules into product logic.”

“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”

“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”

“Software/product engineer who owns customer-facing internal platforms end-to-end, with deep experience building data pipeline health and data quality tooling (near-real-time alerting and ops dashboards). Strong in React/TypeScript + Python REST architectures and microservices with RabbitMQ, emphasizing reliability patterns (idempotency, DLQs, correlation IDs) and fast, safe iteration via feature flags, testing, and observability.”

“Software engineer/intern who built an EV charging station management platform from scratch (TypeScript/Next.js/Node/Express/Postgres) with real-time OCPP WebSocket operations and payment processing, iterating quickly based on operator feedback. Also created an internal CloudWatch log aggregation dashboard with Slack alerts that was adopted team-wide, addressing API rate limits and log-format inconsistencies through caching, pagination, and standardized parsing.”

“Software engineer who builds workflow-centric products end-to-end, including a customer-facing module on the Trident AI content platform and an internal content workflow tool adopted as the default process. Strong in TypeScript/React + FastAPI architectures and in scaling event-driven microservices with RabbitMQ, emphasizing reliability (idempotency, DLQs) and observability (correlation IDs) to reduce outages and debugging time.”

“Backend engineer who owned the API layer for an AI trust/analytics dashboard (trust scores, stability checks, public verification endpoints) using Python/FastAPI and Postgres. Has hands-on DevOps experience deploying FastAPI and Node.js services to AWS Kubernetes with GitHub Actions + ArgoCD GitOps, plus Kafka-based real-time event streaming and careful staged migration practices (shadow traffic/dual writes, rollback planning).”