Portfolio

In progress

Key Features:
• Hybrid search combining BM25 keyword search and FAISS vector similarity
• Multi-turn conversational support with Redis-backed session memory
• Self-hosted observability using Arize Phoenix for complete data privacy
• Automated quality evaluation using RAGAS metrics (faithfulness, relevancy, precision, recall)
• Dynamic contextual suggestions with zero repetition
• Source attribution with document references and confidence scoring

Technical Implementation:
• Built LCEL-based chain architecture for intelligent query routing
• Implemented parent document retrieval for enhanced context preservation
• Designed multi-backend support (FAISS, Qdrant, MySQL, Redis)
• Created async/await architecture with Redis caching layer
• Developed production-grade security with rate limiting and JWT authentication framework
• Containerized entire stack using Docker and docker-compose

DevOps & Quality:
• Established CI/CD pipelines with GitHub Actions
• Implemented comprehensive testing suite (unit, integration, evaluation tests)
• Set up automated code quality checks (Ruff, Mypy, Bandit)
• Achieved 100% self-hosted observability with zero cloud dependencies

Impact: Successfully deployed a scalable, privacy-first AI system capable of handling 30+ requests per minute with <2.5s average response time.
Developed a production-ready, enterprise-grade Retrieval-Augmented Generation (RAG) system using FastAPI, LangChain, and OpenAI’s GPT models. The system provides intelligent question-answering capabilities for document-based queries with full observability and evaluation frameworks. Key Features: • Hybrid search combining BM25 keyword search and FAISS vector similarity • Multi-turn conversational support with Redis-backed session memory • Self-hosted observability using Arize Phoenix for complete data privacy • Automated quality evaluation using RAGAS metrics (faithfulness, relevancy, precision, recall) • Dynamic contextual suggestions with zero repetition • Source attribution with document references and confidence scoring Technical Implementation: • Built LCEL-based chain architecture for intelligent query routing • Implemented parent document retrieval for enhanced context preservation • Designed multi-backend support (FAISS, Qdrant, MySQL, Redis) • Created async/await architecture with Redis caching layer • Developed production-grade security with rate limiting and JWT authentication framework • Containerized entire stack using Docker and docker-compose DevOps & Quality: • Established CI/CD pipelines with GitHub Actions • Implemented comprehensive testing suite (unit, integration, evaluation tests) • Set up automated code quality checks (Ruff, Mypy, Bandit) • Achieved 100% self-hosted observability with zero cloud dependencies Impact: Successfully deployed a scalable, privacy-first AI system capable of handling 30+ requests per minute with <2.5s average response time.
Skills: Python (Programming Language) · LangChain · Retrieval-Augmented Generation (RAG) · Redis · Machine Learning

The site we are currently making

Developed a full-stack enterprise web application using React, Node.js, Express.js, and Supabase (PostgreSQL) for BPO/Call Center organizations, featuring workspace-based multi-tenancy, Microsoft Azure SSO authentication, and role-based access control for administrators and agents.
Integrated OpenAI GPT-4o Vision API to automatically convert static flowchart images into interactive, editable decision trees, reducing content digitization time by 75% through intelligent parsing, shape recognition, and comprehensive validation.
Architected secure backend with rate limiting, Row-Level Security (RLS) policies, and deployed production-ready applications using Docker containerization, CI/CD pipeline (GitHub Actions), Sentry monitoring, and comprehensive testing with Jest and Playwright.

Skills: Flutter · Dart

Developed a comprehensive IoT-based flood monitoring system designed for local government water management, featuring real-time water level monitoring, automated SMS alerts, and data analytics dashboard. The system combines Arduino hardware with a full-stack web application to provide 24/7 flood monitoring and emergency response capabilities.
Key Features:
Real-time water level monitoring using ultrasonic sensors and Arduino Uno R4 WiFi
Automated SMS alert cascade system with GSM module for emergency notifications
React-based responsive web dashboard with live data visualization and analytics
RESTful API backend with MySQL database for historical data storage and reporting
WebSocket integration for real-time updates and bidirectional communication
Multi-level alert system (Normal ≥40cm, Warning 30-40cm, Critical <30cm)
Data export functionality and comprehensive reporting (daily, weekly, quarterly, annual)
Remote configuration management and device monitoring capabilities
Technical Implementation:
The system architecture includes Arduino sensors transmitting data via WiFi to a Node.js/Express backend API, which stores data in MySQL and broadcasts real-time updates to a React frontend through WebSockets. The SMS alert system provides cascade notifications to emergency contacts with response handling.
Impact: This solution enables proactive flood management, reducing response time to critical water level changes and providing government agencies with data-driven insights for water management decisions
Developed a comprehensive IoT-based flood monitoring system designed for local government water management, featuring real-time water level monitoring, automated SMS alerts, and data analytics dashboard. The system combines Arduino hardware with a full-stack web application to provide 24/7 flood monitoring and emergency response capabilities. Key Features: Real-time water level monitoring using ultrasonic sensors and Arduino Uno R4 WiFi Automated SMS alert cascade system with GSM module for emergency notifications React-based responsive web dashboard with live data visualization and analytics RESTful API backend with MySQL database for historical data storage and reporting WebSocket integration for real-time updates and bidirectional communication Multi-level alert system (Normal ≥40cm, Warning 30-40cm, Critical <30cm) Data export functionality and comprehensive reporting (daily, weekly, quarterly, annual) Remote configuration management and device monitoring capabilities Technical Implementation: The system architecture includes Arduino sensors transmitting data via WiFi to a Node.js/Express backend API, which stores data in MySQL and broadcasts real-time updates to a React frontend through WebSockets. The SMS alert system provides cascade notifications to emergency contacts with response handling. Impact: This solution enables proactive flood management, reducing response time to critical water level changes and providing government agencies with data-driven insights for water management decisions
Skills: Internet of Things (IoT) · Arduino · React.js · Node.js · C++

Skills: Laravel · PHP

Kadamat Link – Your partner in service. Kadamat Link connects you with vetted professionals for home repair, cleaning, freelance projects, and more across the USA. Get free quotes today!Kadamat Link – Your partner in service. Kadamat Link connects you with vetted professionals for home repair, cleaning, freelance projects, and more across the USA. Get free quotes today!

Skills: GoDaddy · Search Engine Optimization (SEO) · Cascading Style Sheets (CSS) · HTML

Skills: Shopify · Shopify Plus

Skills: Django · OpenAI · Artificial Intelligence (AI) · Machine Learning

Version 1
Version 1
Skills: Python (Programming Language) · Artificial Intelligence (AI) · Machine Learning

Developed and launched a modern, highly functional website for Tuning site, a performance tuning and automotive service company. The project focused on creating an engaging platform that showcases their services, customer testimonials, and performance upgrades, with a seamless user experience. The website is optimized for high-performance load times, smooth navigation, and mobile responsiveness.
Developed and launched a modern, highly functional website for Tuning site, a performance tuning and automotive service company. The project focused on creating an engaging platform that showcases their services, customer testimonials, and performance upgrades, with a seamless user experience. The website is optimized for high-performance load times, smooth navigation, and mobile responsiveness.
Skills: HTML · GoDaddy · Search Engine Optimization (SEO) · Cascading Style Sheets (CSS) · HTML5

Designed and developed a custom website for Tailor, a brand specializing in rugged and refined overlanding accessories. The project involved creating a responsive and user-friendly e-commerce platform showcasing their products and values. Focus areas included brand-consistent visuals, intuitive navigation, and optimized performance across devices.
Designed and developed a custom website for Tailor, a brand specializing in rugged and refined overlanding accessories. The project involved creating a responsive and user-friendly e-commerce platform showcasing their products and values. Focus areas included brand-consistent visuals, intuitive navigation, and optimized performance across devices.
Skills: WordPress · Elementor · HTML · JavaScript · Cascading Style Sheets (CSS)

Developed a sophisticated, user-friendly applicant tracking software (ATS) using Bubble, tailored to streamline the hiring process for companies and enhance the applicant experience. This platform offers a range of powerful features designed to simplify recruitment, track applicants, and improve communication between hiring teams and candidates.

Key Features:
– Application Portal for Candidates: A seamless, intuitive portal for candidates to submit applications, manage profiles, and track their status throughout the hiring process.
– Job Listings with Kanban-Based Tracking for Hiring Teams: Integrated job board with a Kanban-style layout for easy tracking of applicants, enabling hiring teams to view, organize, and monitor applicants’ progress through each stage of the hiring process.
– Hiring Manager Request Form: Customizable form for hiring managers to request new positions, ensuring all necessary information is captured and facilitating quick job postings.
– Real-Time Reporting and Automated Report Scheduling: Provides real-time data insights on application trends and hiring metrics, complete with automated, scheduled reports that deliver essential hiring data directly to stakeholders’ inboxes.
– Dynamic Job Matching System for Optimal Candidate Fit: Employs an intelligent, dynamic matching system that helps applicants discover job opportunities that best align with their skills and experience, enhancing both candidate and company satisfaction.
– Onboarding Platform for New Hires: A dedicated onboarding module to maintain seamless communication with candidates post-offer, allowing them to upload essential documents and track their onboarding progress.
Developed a sophisticated, user-friendly applicant tracking software (ATS) using Bubble, tailored to streamline the hiring process for companies and enhance the applicant experience. This platform offers a range of powerful features designed to simplify recruitment, track applicants, and improve communication between hiring teams and candidates. Key Features: – Application Portal for Candidates: A seamless, intuitive portal for candidates to submit applications, manage profiles, and track their status throughout the hiring process. – Job Listings with Kanban-Based Tracking for Hiring Teams: Integrated job board with a Kanban-style layout for easy tracking of applicants, enabling hiring teams to view, organize, and monitor applicants’ progress through each stage of the hiring process. – Hiring Manager Request Form: Customizable form for hiring managers to request new positions, ensuring all necessary information is captured and facilitating quick job postings. – Real-Time Reporting and Automated Report Scheduling: Provides real-time data insights on application trends and hiring metrics, complete with automated, scheduled reports that deliver essential hiring data directly to stakeholders’ inboxes. – Dynamic Job Matching System for Optimal Candidate Fit: Employs an intelligent, dynamic matching system that helps applicants discover job opportunities that best align with their skills and experience, enhancing both candidate and company satisfaction. – Onboarding Platform for New Hires: A dedicated onboarding module to maintain seamless communication with candidates post-offer, allowing them to upload essential documents and track their onboarding progress.
Skills: Bubble.io · No-Code Development · No-Code Development Platforms

Introducing XpenSZ, the Expense Management System , a cutting-edge program transforming the way organizations handle and track requests. With its intuitive interface and clear statuses like Pending, For Changes, Approved, and Denied, XpenSZ simplifies request management for seamless operations. The multi-level tracking system involves roles like Requestor, Head, Comptroller, Director, and Viewer, fostering collaboration and transparency throughout the process. XpenSZ empowers organizations to streamline their request handling, providing a user-friendly platform that brings efficiency and clarity to the forefront.
Introducing XpenSZ, the Expense Management System , a cutting-edge program transforming the way organizations handle and track requests. With its intuitive interface and clear statuses like Pending, For Changes, Approved, and Denied, XpenSZ simplifies request management for seamless operations. The multi-level tracking system involves roles like Requestor, Head, Comptroller, Director, and Viewer, fostering collaboration and transparency throughout the process. XpenSZ empowers organizations to streamline their request handling, providing a user-friendly platform that brings efficiency and clarity to the forefront.
Skills: Amazon Web Services (AWS) · JSON Web Token (JWT) · React.js · Express.js · MongoDB · JavaScript · Node.js

Introducing LEAP (Learning and Enrollment Administration Platform) – our innovative solution designed to simplify enrollment and scheduling for learners, instructors, and administrators in the Learning and Development Training (LDT) program. The goal is to provide a centralized platform for easy access to training opportunities, keeping learners engaged and informed. Instructors can efficiently schedule classes, while administrators can track progress seamlessly. With a regularly updated calendar offering diverse classes, workshops, and training programs, LEAP empowers learners to develop new skills and advance their careers. We anticipate LEAP’s positive impact on employee engagement, productivity, and overall performance. Ongoing studies will assess its effects on the LDT program and our team members’ success and well-being, solidifying our commitment to growth and shared achievements.
Introducing LEAP (Learning and Enrollment Administration Platform) – our innovative solution designed to simplify enrollment and scheduling for learners, instructors, and administrators in the Learning and Development Training (LDT) program. The goal is to provide a centralized platform for easy access to training opportunities, keeping learners engaged and informed. Instructors can efficiently schedule classes, while administrators can track progress seamlessly. With a regularly updated calendar offering diverse classes, workshops, and training programs, LEAP empowers learners to develop new skills and advance their careers. We anticipate LEAP’s positive impact on employee engagement, productivity, and overall performance. Ongoing studies will assess its effects on the LDT program and our team members’ success and well-being, solidifying our commitment to growth and shared achievements.
Skills: React.js · Express.js · MongoDB · full calendar · JSON Web Token (JWT) · Node.js · excel js

This is a web-based application that allows users to manage information about food, restaurants, and menus. It allows users to create, read, update, and delete this information, and includes integration with a payment system and a live location feature.

A backend application program with the listed features would likely be a web-based application that allows users to perform create, read, update, and delete (CRUD) operations on information related to food, restaurants, and menus. This could include creating and updating listings for different types of food, restaurants, and menus, as well as deleting outdated or inaccurate information. The program may also include integration with the Stripe payment system, which would allow users to make payments through the application using various payment methods. Finally, the program may include a live location feature that allows users to track their location in real-time, either through GPS or other location tracking technologies. This could be useful for a variety of purposes, such as tracking the location of delivery drivers or helping users find their way to a particular restaurant.
This is a web-based application that allows users to manage information about food, restaurants, and menus. It allows users to create, read, update, and delete this information, and includes integration with a payment system and a live location feature. A backend application program with the listed features would likely be a web-based application that allows users to perform create, read, update, and delete (CRUD) operations on information related to food, restaurants, and menus. This could include creating and updating listings for different types of food, restaurants, and menus, as well as deleting outdated or inaccurate information. The program may also include integration with the Stripe payment system, which would allow users to make payments through the application using various payment methods. Finally, the program may include a live location feature that allows users to track their location in real-time, either through GPS or other location tracking technologies. This could be useful for a variety of purposes, such as tracking the location of delivery drivers or helping users find their way to a particular restaurant.
Skills: Express.js · Stripe (Software) · JSON Web Token (JWT) · MongoDB · Mongoose Web Server · NoSQL · Jest · JavaScript · Node.js

Introducing CSSC File Management System, our innovative capstone project designed to revolutionize file management. Our platform offers a seamless and secure solution for uploading, organizing, and storing files. With CSSC, users can easily upload and store their important documents, ensuring their safekeeping and easy accessibility. Our advanced features include robust file encryption, version control, and the ability to link external files, providing a comprehensive and efficient file management experience. Experience the power and convenience of CSSC as we redefine the way you manage and protect your files.
Introducing CSSC File Management System, our innovative capstone project designed to revolutionize file management. Our platform offers a seamless and secure solution for uploading, organizing, and storing files. With CSSC, users can easily upload and store their important documents, ensuring their safekeeping and easy accessibility. Our advanced features include robust file encryption, version control, and the ability to link external files, providing a comprehensive and efficient file management experience. Experience the power and convenience of CSSC as we redefine the way you manage and protect your files.
Skills: Cascading Style Sheets (CSS) · PHP · MySQL · JavaScript