Provides and manages the standards of the Act (AX Template).

🧠 Build and manage K2Think AI model proxy services with an OpenAI-compatible API, featuring smart token management and high-performance capabilities.

AI-powered interview transcript analysis platform built with FastAPI, LangGraph, and Next.js 15. Transform interview transcripts into actionable insights using Claude AI with timeline extraction, entity recognition, and sentiment analysis.

Enterprise face recognition attendance system with Raspberry Pi edge devices + cloud backend. Smart caching (50 vs 5K embeddings), async processing, offline resilience. Handles 100+ classrooms, 1K+ req/min. FastAPI, PostgreSQL, Redis, OpenCV. Production-ready with Docker deployment.

🚀 Transform cto.new API into a fully compatible OpenAI format with enginelabs-2api, a lightweight and efficient proxy service for seamless integration.

A lightweight, scalable, and serverless API for real-time sentiment analysis. Built using Flask, NLTK's SentimentIntensityAnalyzer, and deployed on AWS Lambda with the Serverless Framework, it efficiently classifies text as positive, negative, or neutral.

VITAL: Versatile Intelligent Task Allocation for Latency-sensitive Healthcare. A scalable, fault-tolerant, and resource-efficient framework for dynamic task scheduling and resource allocation in latency-sensitive healthcare systems.

A robust backend API for managing university classroom reservations, built with Python, Flask, SQLAlchemy, and Docker, ensuring efficient database interactions and seamless containerized deployment 🏫

Scalable social commerce backend with FastAPI, PostgreSQL, and ML-powered recommendations

A lightweight backend for a ToDo application with RESTful APIs for task operations. Designed for simplicity and clarity with a scalable project structure for easy extension.

A lightweight FastAPI skeleton for building secure, scalable REST APIs. Includes JWT-based authentication, Google Drive integration using OAuth2, and modular, clean architecture for rapid development.

Production-grade Apache Spark application for real estate analytics. Implements distributed ML (Linear Regression, Random Forest, GBT) with PySpark 3.5.5, processing 100K+ properties across major US cities.

ELEC70126 Internet of Things and Applications - final project

Real-Time Insights into Transaction Activity with Scalable Streaming and Analysis.

Lab: Setting up a Multi-Container Architecture with Docker Compose

🛒 Build a powerful e-commerce platform with AI chat support using React, Node.js, and PostgreSQL for seamless shopping experiences.

A reusable, containerized microservice blueprint for deploying any high-performance machine learning model with dedicated, decoupled GPU or CPU compute workers for scalability and efficiency.

🔗 Connect K2 systems to APIs seamlessly, enhancing data integration and workflow efficiency for improved insights and decision-making.