Faizan Hameed profile picture

Software Engineer / Agentic AI Engineer

Faizan Hameed

Software EngineerBackend & Distributed SystemsFull-StackAgentic AI / LLM Engineering

Software Engineer focused on backend architecture, distributed systems, full-stack products, and production AI. Builds reliable services and agentic systems with TypeScript/Node.js, PostgreSQL, Redis, Docker, AWS, and modern LLM tooling. Hands-on with agent planning, tool calling, RAG, memory, multi-agent workflows, structured outputs, human-in-the-loop controls, evaluation, observability, retries, and long-running execution. Founder and lead engineer of Ryuksaidso, an agent reliability and control-plane platform. Uses AI coding and research tools to accelerate implementation, debugging, documentation, refactoring, and test generation, followed by human review, automated validation, security checks, and architecture verification before changes ship.

@faizcasm GitHub avatar

Faizan Hameed Tantray

@faizcasm · on GitHub since 2023

Top Languages

Hover a slice to explore the breakdown

6languages

Core Technical Skills

The stack behind my production backend, distributed systems and agentic AI engineering

Languages

  • TypeScript
  • JavaScript
  • SQL
  • Python

Backend

  • Node.js
  • Express.js
  • Fastify
  • NestJS
  • REST APIs
  • WebSockets
  • Microservices
  • Event-Driven Architecture

Frontend

  • React.js
  • Next.js
  • Redux
  • Tailwind CSS

Data

  • PostgreSQL
  • MongoDB
  • Redis
  • pgvector
  • Prisma

AI / Agents

  • AI Agents
  • Multi-Agent Systems
  • Planning
  • Tool Calling
  • Memory
  • RAG
  • Embeddings
  • Structured Outputs
  • HITL
  • LangChain
  • LangGraph

LLM Engineering

  • Local LLMs
  • Secure LLM Harnesses
  • Fine-Tuning
  • LoRA/QLoRA
  • Quantization
  • GGUF
  • Inference Optimization
  • Model Routing

Cloud / DevOps

  • AWS EC2
  • IAM
  • Docker
  • Docker Compose
  • NGINX
  • CI/CD
  • Linux
  • Prometheus
  • Grafana
  • Loki

Engineering

  • System Design
  • Distributed Systems
  • API Security
  • Authentication
  • RBAC
  • Rate Limiting
  • Caching
  • Observability
  • Performance
  • DSA

AI-Augmented Development

  • LLM-assisted coding
  • Debugging
  • Test generation
  • Documentation
  • Implementation acceleration
  • Verification
  • Human-in-the-loop review

Selected Projects

Production systems across agentic AI, real-time products and open-source tooling

Ryuksaidso

Production-oriented control plane for operating AI agents with planning, tracing, approvals, evaluations, versioning, knowledge retrieval, and multi-provider failover. Runs on a Next.js/React dashboard, stateless TypeScript/Node.js services, Redis + BullMQ workers, PostgreSQL + Prisma with pgvector, and Dockerized AWS EC2 infrastructure behind NGINX.

Next.jsTypeScriptNode.jsPostgreSQLRedispgvectorDockerAWS

Wolvinix

Built a gaming-focused social platform with real-time communication, authentication, scalable APIs, Redis-backed functionality, and Dockerized backend services.

ReactTypeScriptNode.jsWebSocketsRedisPostgreSQLDocker

BackendOS

Designed reusable production-oriented backend primitives covering authentication, API architecture, middleware, and database integration.

TypeScriptNode.jsExpress.jsPostgreSQLREST APIs

Ryuksaidso | Product & Engineering

Live

Production-oriented agent reliability and control plane designed to operate AI agents with production software discipline. The platform centers on planning, tracing, approvals, evaluations, versioning, knowledge retrieval, and multi-provider failover.

Visit product
  • Control Plane

    Next.js/React dashboard for users, workspaces, agents, tools, providers, runs, approvals, traces, analytics, profiles, and administration.

  • API Layer

    Stateless TypeScript/Node.js services with validation, authentication, RBAC, rate limiting, provider routing, health/readiness endpoints, and horizontal-scaling support.

  • Agent Runtime

    Planning, task decomposition, tool calls, memory/state, structured outputs, retries, human approval, execution traces, and recovery.

  • Async Compute

    Redis + BullMQ workers for long-running agent execution, browser automation, ingestion, scheduled jobs, retries, and workload isolation.

  • Data Layer

    PostgreSQL + Prisma for transactional data, pgvector for semantic retrieval, and Redis for queues, caching, locks, and coordination.

  • LLM Layer

    OmniRoute, Ollama, and OpenAI-compatible providers with local/cloud routing, quantized/fine-tuned model support, and controlled tool execution.

  • Production Infrastructure

    Dockerized services on AWS EC2 behind NGINX with IAM, security groups/firewall controls, service isolation, health checks, and controlled network exposure.

  • Reliability & Safety

    Human-in-the-loop approval gates, restricted tool permissions, policy enforcement, structured validation, auditability, retries, timeouts, and persistent execution state.

  • Observability

    Prometheus metrics, Grafana dashboards, Loki logs, audit trails, agent traces, worker visibility, and operational health monitoring.

Agent control plane

Experience & Education

The path from full-stack intern to founder & lead AI engineer

Experience

Founder & Lead Software / AI Engineer

2026 – Present

Ryuksaidso

  • Built and deployed Ryuksaidso, an agent reliability and control-plane platform for operating AI agents with production software discipline.
  • Designed the control plane around agent definitions, tools, providers, versions, runs, traces, approvals, policies, API keys, RBAC, tenant isolation, audit history, and operational visibility.
+5 more in the full resume

Full Stack Engineer

Dec 2025 – Apr 2026

Locrave

  • Developed and maintained a location-based full-stack platform with secure authentication, scalable APIs, and production-oriented application architecture.
  • Built frontend and backend functionality using React, TypeScript, Node.js, PostgreSQL, and REST APIs.
+1 more in the full resume

Founder & Lead Backend Engineer

2024 – 2025

Wolvinix

  • Architected backend infrastructure for a gaming-focused social platform using Node.js and TypeScript.
  • Designed scalable REST APIs, authentication, authorization, and WebSocket-based real-time communication.
+2 more in the full resume

Backend Developer Intern

Arcnet IT Solutions

  • Developed and maintained backend APIs for production-oriented applications.
  • Worked on database integration, query optimization, backend performance, reliability, and scalable application functionality.

Full Stack Intern

Aug 2023 – Feb 2024

Upskill Mafia

  • Developed full-stack application features using modern JavaScript technologies.
  • Built REST APIs, dashboards, authentication flows, and user-facing functionality.

Education

Master of Computer Applications (MCA)

Currently Pursuing

National Institute of Electronics & Information Technology (NIELIT), Srinagar

Bachelor of Computer Applications (BCA)

2023 – 2026

Punjab Technical University

Completed

Full details, skills and projects

View the resume page

Engineering Highlights

  • Algorithms: Solved 150+ DSA problems across core algorithmic patterns and problem-solving techniques.
  • Agentic AI: Design and implement autonomous and supervised agents, multi-agent coordination, planning, tool execution, memory, RAG, stateful workflows, evaluation, streaming, and recovery.
  • LLM Systems: Build secure local-LLM harnesses, work with quantized models and GGUF workflows, fine-tune adapters, optimize inference, and implement model/provider routing.
  • Production Engineering: Dockerized services, AWS EC2 deployment, reverse proxy/load balancing, background workers, observability, caching, rate limiting, authentication, RBAC, and reliability patterns.
  • AI-assisted engineering: Use AI tools as force multipliers for implementation, investigation, refactoring, documentation, and tests while retaining responsibility for correctness, security, architecture, and final code review.

Leadership & Open Source

  • Founder, Ryuksaidso — agent reliability/control plane, agent orchestration, automation, secure local AI, and scalable backend systems.
  • Creator, BackendOS — open-source backend framework/toolkit for reusable production-oriented architecture.

Let's Build Something Great

Open to AI engineering, product, and full-stack collaboration opportunities.