Full-Stack Software Engineering
Building reliable, maintainable, and high-performance production systems — combining modern TypeScript frontends with resilient backend architectures and optimized databases.
Technical Proficiency
🎨 Frontend Engineering
Component architectures & hooks
App Router, SSR, SSG & Server Components
Strict typing, generics & interfaces
ES6+, async workflows & browser APIs
⚙️ Backend & APIs
Event-driven asynchronous services
Modular backend architecture & dependency injection
High-performance Python APIs & ML model serving
RESTful API routing & custom middleware
🗄️ Databases & Storage
Relational data modeling, indexing & ACID
Document schemas, aggregations & Atlas
Relational schemas & marketplace queries
In-memory caching, sessions & BullMQ
Architecture Patterns in Practice
Proven patterns and system designs implemented in production projects.
Modular Monoliths
Domain-driven modular services built with NestJS. Clear separation of concerns with controllers, services, and repositories for maintainability.
Implemented in: DA-Mall Marketplace Backend
Hybrid AI Microservices
Separation of heavy ML inference pipelines from core business APIs. Fast API gateways orchestrate lightweight web services and asynchronous Python workers.
Implemented in: Email EU Graph & VisualMind Search
Real-time Event Systems
WebSocket-based bidirectional communication architectures with Socket.io for live chat, telemetry, and notifications.
Implemented in: HealSeek & Edu+ Platforms
Vector Search & Embeddings Layer
Sub-50ms approximate nearest neighbor (ANN) retrieval indexes with FAISS and CLIP embeddings connected to caching layers.
Implemented in: VisualMind & MentorAI RAG
Engineering Principles
Security by Design
JWT authentication, input sanitation, rate limiting, and strict CORS policies.
Performance Optimization
Redis caching, query indexing, edge asset optimization, and minimal bundle footprints.
Clean, Typed Code
Strong TypeScript typing, SOLID principles, DRY abstractions, and comprehensive docs.
Containerization & CI/CD
Docker multi-stage builds, predictable environments, and automated testing.
Observability & Logging
Structured logging, healthcheck endpoints, and proactive error tracing.
Scalable Database Design
Normalized schemas, indexing strategies, connection pooling, and replication.