Personal Projects

Innovative solutions built with passion

Autonomous Engineering Agents

A sophisticated suite of custom AI agents engineered to automate complex slices of the software development lifecycle. Built as a personal experimental playground, these agents map directly to engineering roles—ingesting raw product requirements, auto-negotiating clarifications via feedback loops, drafting rigorous technical specifications, formulating system designs, and finally writing fully tested production code.

Key Implementations & Learning Objectives:

  • Architected multi-agent orchestration frameworks capable of transitioning from raw stakeholder requests directly to executable, tested code
  • Programmed deterministic feedback loops forcing agents to seek scope clarification before committing to architectural design drafts
  • Simulated full-stack engineering lifecycles by chaining contextual prompts across specification, design, implementation, and QA validations
  • Deeply explored the boundaries of autonomous software generation, heavily augmenting daily development velocity through native tool integrations like Google Antigravity and Microsoft Copilot
Agentic Architecture Generative AI LLM Orchestration Workflow Automation

Stock Market Intelligence Platform

A comprehensive personal project engineered from the ground up to learn and experiment with data-intensive backend architectures, machine learning integration, and scalable system operations. Developed as a technical sandbox, this platform ingests and processes stock market data, applying advanced predictive models to generate actionable investment insights. It allowed me to deeply explore complex system integrations, including automated cron-based data pipelines, full-stack observability with the LGTM stack, and responsive portfolio tracking mechanisms.

Key Implementations & Learning Objectives:

  • Designed and built a complete backend architecture from scratch using Java and Spring Boot to master enterprise-grade application structuring
  • Constructed automated, cron-driven data pipelines to experiment with high-throughput ingestion and on-demand processing of market datasets
  • Integrated Python-based machine learning models (ensemble methods and neural networks), bridging the gap between data science and robust backend API services
  • Developed a complex, multi-tenure recommendation engine to study predictive analytics, metric evaluation, and persistent verification tracking
  • Engineered a real-time portfolio monitoring dashboard to practice handling responsive, state-heavy systems and performance analytics
  • Implemented a local LGTM observability stack (Loki, Grafana, Tempo, Mimir) to gain hands-on experience with modern distributed tracing and telemetry
Spring Boot Java Python Thymeleaf PostgreSQL Machine Learning LGTM Stack Cron Jobs

Food & Beverage Business Website

A modern, customer-centric website crafted for a friend's food and beverage venture. The platform showcases their offerings, facilitates customer engagement, and strengthens their digital presence. Deployed on a custom domain, the site has garnered positive feedback from both customers and industry professionals for its design and functionality.

My Contributions:

  • Designed the complete user interface with focus on customer engagement and brand identity
  • Developed full-stack solution handling both frontend presentation and backend functionality
  • Configured custom domain hosting and managed deployment infrastructure
  • Optimized for mobile responsiveness and cross-browser compatibility
  • Received excellent feedback from customers and F&B industry peers
Web Design Full Stack Development Custom Hosting Responsive Design

F&B Multi-Tenant SaaS Platform

An enterprise-grade Software-as-a-Service (SaaS) platform built as a personal project to learn and experiment with complex multi-tenant architectures, secure data isolation, and scalable backend service design. Serving multiple food and beverage businesses from a single resilient infrastructure, the system demonstrates advanced implementation of dynamic schema routing, role-based access control (RBAC), and distributed operational analytics. This project functioned as a rigorous testing ground for mastering tenant provisioning and high-throughput order processing ecosystems.

Key Implementations & Learning Objectives:

  • Architected a foundational multi-tenant data layer to experiment with strict tenant isolation, dynamic routing, and database scalability patterns
  • Designed and coded core distributed modules for inventory and order processing to simulate high-concurrency transactional environments
  • Applied strict enterprise coding standards and architectural design patterns entirely solo, building muscle memory for clean, maintainable backend code
  • Created generic, reusable backend services and API components to study modular system design and optimize feature development velocity
  • Produced end-to-end technical documentation and architectural diagrams to practice clear technical communication and system blueprinting
  • Successfully orchestrated role-based access control (RBAC) and complex security contexts customized for multi-tenant interactions
Spring Boot Microservices Multi-Tenancy PostgreSQL Architecture Design API Design