Frontend Engineering
Building responsive, maintainable, and user-focused interfaces with modern React architecture, reusable components, and production-ready TypeScript.
I'm a Python Full Stack Engineer with 3+ years of experience building scalable fintech applications, production APIs, and AI-powered SaaS products. My work includes Django, FastAPI, Next.js, TypeScript, PostgreSQL, Celery, Redis, Kafka, OpenAI, RAG, semantic search, and vector databases.
I enjoy designing clean architectures, developing secure backend systems, and turning complex workflows into reliable products that deliver real business value.

3+
Years Experience
40+
Production APIs
My Journey
Building on a strong software engineering foundation while expanding into practical AI, intelligent workflows, and scalable SaaS products.
My journey began with full-stack development, building production web applications using React, Next.js, TypeScript, Django, Django REST Framework, FastAPI, and PostgreSQL. Working on enterprise fintech systems helped me strengthen my skills in API design, authentication, asynchronous processing, database optimization, and scalable backend architecture.
Over time, I expanded into AI-powered product development, working with OpenAI APIs, embeddings, semantic search, Retrieval-Augmented Generation, and vector databases. That journey led me to build Aura Finance, an AI-powered personal finance platform that combines intelligent document processing, transaction categorization, background jobs, and financial insights.
Today, I focus on building reliable full-stack and AI systems that combine clean architecture, production-grade APIs, thoughtful user experience, and practical AI workflows.
"I enjoy building intelligent products that combine scalable engineering, clean architecture, and practical AI to solve real-world problems."
3+
Years Experience
40+
Production REST APIs
Enterprise
Fintech Systems
AI + SaaS
Products Built
Core Engineering Capabilities
A practical full-stack toolkit covering frontend development, scalable backend systems, AI integration, databases, asynchronous workflows, security, and cloud deployment.
Building responsive, maintainable, and user-focused interfaces with modern React architecture, reusable components, and production-ready TypeScript.
Developing secure and scalable services with Python, Django, FastAPI, asynchronous processing, event-driven workflows, and clean architecture.
Building practical AI features with OpenAI APIs, RAG, embeddings, semantic retrieval, vector search, prompt engineering, and intelligent document workflows.
Designing production-ready APIs with authentication, authorization, clear contracts, error handling, background processing, caching, and performance optimization.
Designing schemas, optimizing queries, managing relational data, and supporting vector-based retrieval for transactional and AI-powered applications.
Containerizing services, automating CI/CD workflows, and deploying full-stack applications across cloud and managed hosting platforms.
Engineering Principles
I design applications with security, reliability, performance, and maintainability in mind from the beginning. My approach combines secure authentication, clear API contracts, optimized data access, asynchronous processing, and modular architecture to build systems that can grow safely.
JWT authentication, role-based access control, protected APIs, validation, and user-specific data isolation.
Optimized database queries, indexing, caching, pagination, and asynchronous processing for responsive applications.
Background jobs, retry workflows, error handling, observability, and clear service boundaries for dependable systems.
Clean architecture, modular services, event-driven workflows, cloud storage, and containerized deployment.
What I Build
Areas where I apply full-stack engineering, backend architecture, artificial intelligence, data systems, and cloud technologies to build reliable products.
Modern web applications built with Next.js, React, and Django.
Production-ready REST APIs, authentication, and async services.
LLM-powered products using RAG, embeddings, and semantic search.
Lending, transaction processing, onboarding, and secure workflows.
PostgreSQL, CockroachDB, Redis, and vector-based retrieval.
Docker, CI/CD, GCP, AWS, Railway, and Vercel deployments.
Responsive operational dashboards and data-driven interfaces.