Hamza Ali
Building scalable systems and AI-powered platforms used by hundreds of thousands of users. 6+ years of engineering depth across microservices, RAG pipelines, and enterprise backends.
Engineering depth at scale
I'm a Senior Software Engineer with 6+ years of experience building backend systems, distributed architectures, and AI-powered platforms that operate at scale.
My engineering focus is where AI meets backend architecture — designing RAG pipelines, multi-agent workflows, and event-driven microservices that handle hundreds of thousands of users without breaking a sweat.
I've led engineering teams, defined architecture standards, and delivered products from zero to production at companies like CompuTech and ODOO-AI. Whether it's Kafka event streaming for BMW's logistics platform or LangChain agents for AI recruitment — I care deeply about correctness, performance, and scalability.
Backend Architecture
NestJS, Node.js, microservices, event-driven systems with Kafka.
AI Systems
RAG pipelines, LangChain agents, Pinecone vector search, OpenAI APIs.
Full-Stack Engineering
Next.js, PostgreSQL, Redis, Docker, Kubernetes, AWS.
Tech Leadership
Cross-team coordination, mentoring, engineering standards & architecture decisions.
Where I've built things
Senior Software Engineer
Leading backend architecture and AI integration efforts for enterprise-grade SaaS products. Driving technical decisions across microservices design, AI system implementation, and cross-team engineering standards.
- ▸Architected and deployed AI-powered recruitment platform (Jaspi) with multi-agent LangChain workflows and RAG pipelines using Pinecone
- ▸Designed event-driven microservices architecture processing 10K+ events/second for BMW logistics platform using Kafka and NestJS
- ▸Led technical strategy for eduPortal serving 300K+ users, achieving 30% performance improvement through systematic optimization
- ▸Established engineering standards, code review culture, and CI/CD pipelines across 3 product teams
- ▸Mentored 5+ junior and mid-level engineers, reducing onboarding time from 4 weeks to 1.5 weeks
Lead Developer
Led the development of AI-enhanced ODOO modules and a custom low-code platform for business process automation. Managed a team of 4 developers and owned the full product lifecycle.
- ▸Built General Admin — an AI-powered low-code platform enabling non-technical users to create and deploy business applications
- ▸Integrated OpenAI APIs into ODOO workflows for intelligent document processing and automated data extraction
- ▸Reduced client onboarding time by 60% through automated workflow generation and AI-assisted configuration
- ▸Led migration of legacy PHP modules to modern Node.js microservices, improving performance by 45%
- ▸Managed client relationships and product roadmap for 8+ enterprise clients
Software Engineer
Full-stack development across multiple client projects with a focus on building scalable REST APIs, responsive frontends, and e-commerce solutions. Foundation of backend architecture expertise.
- ▸Developed vmeals food platform from scratch, achieving 200K+ monthly organic visitors through SEO-first architecture with Next.js
- ▸Built and maintained 6+ client web applications across e-commerce, SaaS, and B2B sectors
- ▸Implemented payment integrations (Stripe, PayPal) and third-party API orchestration for 4 platforms
- ▸Introduced automated testing practices, improving code coverage from 20% to 75% across projects
- ▸Optimized database queries, reducing average response time by 35% on high-traffic endpoints
Featured work
Production systems built at scale. Each project represents real engineering challenges — not tutorial apps.
Jaspi
AI Recruitment Platform
End-to-end AI-powered recruitment platform enabling autonomous candidate interviews through RAG pipelines and multi-agent workflows. Replaced traditional screening cycles with intelligent, context-aware AI interviewers.
General Admin
AI Low-Code Platform
Low-code application builder powered by AI that enables non-technical users to create business workflows, dashboards, and internal tools through natural language and drag-and-drop interfaces.
Engineering at scale
Numbers that reflect real production systems — not demos.
Users Served
Monthly Visitors
Million Data Points Indexed
Performance Improvement
AI Systems & Experiments
Production AI systems — not toy demos. RAG pipelines, multi-agent orchestration, and vector search deployed at scale.
RAG Pipelines
Retrieval-Augmented Generation with Pinecone vector search, semantic chunking, and re-ranking for grounded AI responses.
Agent Workflows
Multi-agent orchestration with LangChain — supervisor/worker patterns, tool calling, memory management, and saga-based coordination.
OpenAI APIs
Production-grade integrations with GPT-4, function calling, streaming, structured outputs, and fine-tuning pipelines.
Vector Search
Semantic search at scale — embedding generation, approximate nearest neighbor search, hybrid retrieval strategies.
Technical expertise
Proficiency built through real production systems, not certifications.
Backend
Frontend
AI / LLMs
Databases & Cache
DevOps & Cloud
GitHub repositories
Let's build something
Open to senior engineering roles, technical leadership positions, and interesting AI systems problems.
GitHub
github.com/hamzaaliLocation
Remote / Worldwide
Currently open to Senior Engineer and Tech Lead roles. Prefer backend-heavy, AI-adjacent, or architecture-focused positions.