I focus on Backend Engineering, Cloud Systems, APIs, Databases, Distributed Systems, Automation, and AI Infrastructure.

My strongest work centers on durable execution, policy-controlled automation, observability, MCP infrastructure, cloud data pipelines, edge/cloud scheduling, and production-oriented API systems.

I also have practical experience building web and mobile products with Laravel, React, Next.js, and Flutter.

I aim to build software that is structured, testable, deployable, observable, resilient, and safe around side effects.

• Backend Engineering
• Cloud & Platform Engineering
• REST APIs and service integration
• Relational Databases, SQL & Data Modeling
• Docker and reproducible environments
• CI/CD and GitHub Actions
• Distributed and durable execution systems
• Observability and OpenTelemetry
• Automation and agent infrastructure
• MCP gateways and policy enforcement

Python · PHP · Go · C++20

FastAPI · Flask · Laravel · REST APIs · SQLAlchemy

SQL · PostgreSQL · MySQL · SQL Server · SQLite · Supabase · Prisma

React · Next.js · TypeScript · JavaScript · HTML · CSS · Flutter · Dart

Docker · Docker Compose · GitHub Actions · Redis · Vercel · GitHub Pages · n8n

MCP · AI Agents · LLM Integrations · OpenTelemetry · Policy Engines · Durable Execution

Machine Learning · IoT

FastAPI · Next.js · PostgreSQL · Redis · Docker · n8n · MCP · CI/CD

A control plane that places policy, approvals, cost guardrails, execution tracing, and auditability in front of n8n workflows and AI agents.

Engineering highlights: deterministic policy evaluation, human approval gates, guarded MCP execution, retry/safe replay, cost accounting, PostgreSQL persistence, Redis foundation, Docker Compose, and CI quality gates.

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Go · PostgreSQL · Durable Execution · Worker Leases · Retry · CI

A Postgres-first durable execution core for AI agents that checkpoints expensive side effects and safely recovers work after crashes.

Engineering highlights: transaction-safe checkpoints, worker leases, heartbeats, concurrency protection, cancellation, exponential retry/backoff, per-attempt timeouts, deterministic tests, and migrations.

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Python · MCP · Zero-Trust Policy · Rate Limiting · Approvals · Audit

A policy-enforcement gateway between AI agents/MCP clients and real MCP servers.

Engineering highlights: per-agent identity, role-aware policies, HMAC approval tokens, argument-bound approvals, rate limiting, egress allowlists, schema pinning, circuit breakers, audit logs, tests, and CI.

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Python · OpenTelemetry · OpenAI Agents SDK · LangGraph · n8n · MCP

OpenTelemetry-native trajectory tracing for AI agents, focused on the execution path an agent takes rather than only prompts, tokens, and latency.

Engineering highlights: framework adapters, trajectory events, tool/model/handoff tracing, retry/error annotations, usage and cost metadata, n8n execution imports, MCP tracing, and trajectory diffing.

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Python · GitHub REST API · GitHub Actions · GitHub Pages · Data Pipelines

A zero-paid-infrastructure intelligence pipeline that discovers rising GitHub repositories and contributor-friendly open issues.

Engineering highlights: scheduled collection, historical snapshots, trend/opportunity scoring, browser-side skill matching, validation, static deployment, and a fully automated data refresh pipeline.

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C++20 · Algorithms · Scheduling · Resource Allocation · Edge/Cloud Systems

Engineering work for ICPC 2026 Online Challenge 1 powered by Huawei, focused on dynamic batching, SLO-aware scheduling, latency/throughput trade-offs, resource allocation, and model-predictive scheduling.

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• Employee Attendance — Laravel + Supabase — PHP/Laravel backend experience with Supabase integration.
• Employee Attendance — Flutter + Supabase — Flutter/Dart mobile application with Supabase backend services.
• TrustFlow Sentinel — React frontend + FastAPI reference backend with deterministic policy decisions.
• Software Engineering Portfolio — Next.js + PostgreSQL + Prisma portfolio platform with AI failover and lead management.
• Agent Interop Runtime — framework-neutral runtime adapters for OpenAI Agents and LangGraph.
• Python Backend & Frontend API Integration — Flask REST API integration, validation, tests, CORS, and deployment readiness.

• Clear separation of concerns
• Explicit configuration and environment management
• Automated tests and CI where practical
• Reproducible local environments
• Safe handling of side effects and external integrations
• Failure recovery and idempotency-aware design
• Observability and auditability
• Deployment-aware architecture
• Useful technical documentation
• Honest project descriptions without inflated claims

I am especially interested in roles involving:

Backend Engineering · Cloud Engineering · Platform Engineering · Distributed Systems · API Development · Databases · Automation Infrastructure · AI Infrastructure