Relational Databases
SQL, schema design, relational modeling, query optimization, and dependable database systems.
Computer Science Student | Databases, Linux, AI & Networking
Building with relational databases, Linux systems, applied AI, and network infrastructure.
Passionate about relational database architecture, Linux performance tuning, learning secure networking fundamentals, and building intelligent web applications.

4
Projects
Year 2
Study
5
Focus areas
I'm pursuing a BSc (Hons) in Computer Science, developing a broad technical foundation across data, operating systems, AI, security fundamentals, and networking.
My work is grounded in understanding how systems behave beneath the interface—from structuring reliable relational data and automating Linux workflows to learning responsible security practices and tuning local network infrastructure.
SQL, schema design, relational modeling, query optimization, and dependable database systems.
Python-based AI integrations, local LLM workflows, and intelligent application development.
Ubuntu administration, Bash scripting, shell tooling, and low-level performance tuning.
Foundational coursework in digital forensics, safe shell usage, and basic system security concepts.
GPON configuration, router optimization, and resilient 2.4 GHz / 5 GHz Wi-Fi management.
A practical and growing skill set across frontend development, programming, operating systems, and network infrastructure.
Semantic page structure and responsive styling using modern layout techniques.
Interactive browser experiences using modern JavaScript and asynchronous data handling.
Responsive, component-based interfaces with attention to usability and clean structure.
Scripting, data processing, machine-learning experiments, and application development.
Practical Ubuntu and command-line experience for scripting and system workflows.
Configuration and troubleshooting across local routers, GPON, and multi-band Wi-Fi setups.
A selection of coursework and independent applications spanning desktop software, machine learning, and data visualization.
A Blazor application for discovering and registering for community events, with Identity-based authentication and role-protected event, venue, activity, participant, and registration management.
A Python desktop application with a multi-step booking workflow, customer-input validation, booking management, and SQLite persistence.
A Streamlit application that processes patient inputs and uses a trained Random Forest model to estimate diabetes risk and probability.
An interactive dashboard for exploring OWID COVID-19 data with country and date filters, headline metrics, maps, and comparative charts.
As a second-year Computer Science student, I connect core theory with practical systems work—turning coursework into experiments, utilities, and technical projects.
Currently pursuing · Second year
BSc (Hons) Computer Science
ISMT College
Completed · +2
Management with Computer Science
Usha English Boarding School
Relational theory, SQL, schema architecture, normalization, and efficient data access patterns.
Foundational study of digital evidence, introductory forensic scripting, and safe shell workflows.
Network fundamentals, basic security awareness, and performance-focused infrastructure configuration.