Portfolio
Projects & Initiatives
Conceptual systems and technical strategies designed for scalability and correctness.
LockedIn: Personal Productivity & Study Logger
A native iOS application for high-performance habit tracking and study analytics.
Developed using SwiftUI with a state-driven architecture for session management. Integrated Supabase for cross-device sync and RevenueCat for a compliant monetization model.
Azure Data Engineering: End-to-End Batch & Event-Driven Pipelines
A comprehensive lakehouse architecture using ADF, Databricks, and Delta Lake.
Designed a multi-phase architecture leveraging Azure Data Factory for orchestration and Databricks for processing. The system follows a Bronze-Silver layering strategy for data cleanliness.
Linux Cluster Resource Monitoring App
A robust monitoring agent built with Bash and PostgreSQL for real-time node resource tracking.
Developed a suite of Bash scripts that leverage Linux utilities to capture CPU, memory, and disk statistics. These metrics are formatted and loaded into a Dockerized PostgreSQL environment. Used crontab to automate the monitoring pulse and built SQL analytical queries to detect performance anomalies.
Retail Sales Data Analytics
End-to-end analytics platform for customer segmentation and marketing strategy optimization.
Provisioned a PostgreSQL database via Docker to host raw data. Used Jupyter Notebooks to establish a data connection and employed Pandas for cleaning and exploratory data analysis. Crucially, I integrated an RFM (Recency, Frequency, Monetary) segmentation model to categorize customer behavior.
Real-Time Parking Detection System
An IoT vision system utilizing edge computing for real-time monitoring of parking availability.
Deployed the YOLO v3 (You Only Look Once) object detection algorithm on a Raspberry Pi accelerated by an Intel Neural Compute Stick. The system processes Pi camera feeds in real-time, syncing spot statuses to Firebase. A Flutter-based web app consumed this data to provide a live GUI with Google Maps integration.
Big Data & DevOps Explorations
A series of laboratory researches into distributed computing architectures and service orchestration.
Completed deep-dives into Hadoop HDFS for distributed storage, Spark for in-memory processing, and Spring Boot for microservice development. Focused on HDFS data replication and Spark RDD transformations.
Jarvis Data Engineering Portfolio
Core technical repository for Data Engineering projects.
A curated collection of projects focusing on Java, SQL, Linux, and Cloud infrastructure.