I build data platforms, cloud pipelines, and smart applications — bridging DevOps, analytics, and UI.
I build robust, end-to-end web applications with a strong backend foundation. Skilled in Next.js, Node.js, FastAPI, and PostgreSQL, I focus on modular APIs, authentication, and data-driven automation for scalable, maintainable systems.

I design CI/CD workflows and infrastructure-as-code pipelines using GitHub Actions, Docker, and Terraform. My goal is to automate repetitive tasks, enforce security standards, and improve deployment speed and reliability across environments.

I develop intelligent systems that use LLMs, data pipelines, and predictive analytics to enhance decision-making. Projects include retrieval-augmented generation, forecasting models, and AI assistants that integrate seamlessly into modern apps.

I architect and manage cloud-native data pipelines on AWS and Databricks, focusing on cost optimization, security, and scalability. Experienced with Spark, Kafka, and Delta Lake, I ensure smooth ingestion, transformation, and analytics across large datasets.

I build intelligent, connected devices using ESP32, Raspberry Pi, and Python. My prototypes integrate sensors, AI inference, and cloud connectivity to create responsive systems—from smart locks to AI-driven robotic companions.

AI-powered business intelligence platform with natural language queries
Predictive analytics dashboard for sales trends and forecasting
Real-time fraud detection system with streaming ML pipeline
Scalable microservices architecture with API gateway and service mesh
Real-time data ingestion and visualization for eSports events

Full-stack hospital management system streamlining patient admissions, prescriptions, billing...

Automated reimbursement platform with OCR receipt parsing and Airflow scheduling...

Cross-platform budgeting app with AI-driven recommendations using Gemini and Yelp APIs...

Desktop application for analyzing stock market trends with interactive candlestick charts...
Automated deployment pipeline with comprehensive testing and security scanning
Complete observability stack with metrics, logs, and distributed tracing
Security-first CI/CD with SAST, DAST, and artifact signing
Multi-device AI robotic companion with ESP32, Raspberry Pi, and Android app...
IoT-enabled door lock with cloud management and remote access
Computer vision-based entry system with edge inference
Serverless event-driven notification system
Scalable lakehouse for IoT sensor data with real-time analytics
I'm always interested in hearing about new opportunities and innovative projects.