Hi, I’m Jashwanth Kumar Lukalapu
MSc in Advanced Computer Science (UK) | Seeking Internships 2025 | Passionate about Software Engineering, Design, Gen AI, Cloud and Automations | February 2026 Graduation
Who is Jashwanth Kumar?
Jashwanth Kumar is an aspiring Software Architect with a strong academic foundation and hands-on experience in software development, testing, and system optimization. Currently pursuing a Master’s in Advanced Computer Science at the University of Hertfordshire, he specializes in AI, cloud computing, and cybersecurity.
MSc (Expected 2026)
University of Hertfordshire
B.Tech (2022)
Lovely Professional University
3+ Roles
DXC Technology
Focus on AI and Software Devlopment
MSc Specialization
My Journey
Work Experience
Student Technology Mentor
University of Hertfordshire
Assisting fellow students with software tools, programming concepts, and best practices in computer science.
2024 – Present
Analyst II Software Engineer
DXC Technology
Contributed to mainframe system maintenance, COBOL development, and participated in initial phases of system modernization projects. Involved in functional testing and QA processes.
2023
Associate Professional Software Engineer
DXC Technology
Focused on software testing using Selenium and Ruto, development on IBM Mainframes, and gained exposure to CA Gen and COBOL. Actively involved in test case design and execution.
2022
Business Development Intern
Innovators and You
Gained experience in market research, client outreach, and understanding business requirements in a tech startup environment.
2021
Education
MSc Advanced Computer Science
University of Hertfordshire, UK
Specializing in Artificial Intelligence and Cloud Computing. Current research focuses on efficient AI model deployment strategies.
2024 – 2026 (Expected)
B.Tech Computer Science and Engineering
Lovely Professional University, India
Graduated with a comprehensive understanding of computer science fundamentals, software development lifecycle, and database management.
2018 – 2022
My Projects
A showcase of key projects I've developed or significantly contributed to.
Pattern-Scale – Architecture Pattern Evaluation Platform
A Streamlit-based web app for analyzing and comparing software architecture patterns. It allows users to run custom tests and visualize results through an intuitive interface.
Key Features:
- Compare multiple architecture patterns
- Run custom tests
- Display metrics and visualizations
- Extensible through modular components
Technologies Used:
Phishing URL Detection with Machine Learning
A real-time phishing URL detection system using Random Forest and SVM models to classify URLs based on lexical features, promoting safer web browsing.
Key Features:
- Dual model prediction (Random Forest & SVM)
- Real-time feature extraction from URLs
- Confidence score visualization
- User-friendly Streamlit web interface
Technologies Used:
AI-Powered Log Anomaly Detection System
A backend system designed to analyze application logs in real-time, using machine learning models to detect anomalies and predict potential system failures before they impact users.
Key Features:
- Real-time log stream processing
- ML-based anomaly detection
- Alerting via webhooks
- Prometheus integration for metrics
- Containerized for easy deployment
Technologies Used:
Technical Skills & Tools
A comprehensive look at my core competencies and the technologies I use.