About Me
Data-driven engineer transforming complex problems into elegant solutions
Building the Future, One Line at a Time
I'm an MSc Advanced Computer Science student at the University of Hertfordshire with over 2 years of professional software engineering experience at DXC Technology. My journey in tech has been driven by a passion for solving complex problems through data engineering, automation, and cloud technologies.
I specialize in building scalable data pipelines, optimizing system performance, and creating AI-powered tools that make a real-world impact. Whether it's reducing processing times by 15% or improving testing efficiency by 20%, I'm committed to delivering measurable results.
Currently exploring the intersection of Generative AI, cloud platforms, and data engineering while actively seeking opportunities to contribute to innovative projects.
My Journey
Work Experience
Student Technology Mentor
University of Hertfordshire, UK
Provided technical support to 200+ students, delivered workshops on AI and cloud, and developed training materials, reducing support resolution time by 30%.
Sep 2024 – Sep 2025
Analyst II Software Engineer
DXC Technology, India
Automated software testing with Selenium, Ruto, and Postman, improving efficiency by 20%. Conducted Java web app testing and peer code reviews, reducing defects by 12%.
Oct 2023 – Dec 2023
Associate Professional Software Engineer
DXC Technology, India
Maintained IBM Mainframe systems using COBOL, reducing batch processing time by 15%. Mentored 3 junior developers and automated tasks to increase efficiency by 25%.
Jun 2022 – Oct 2023
Education
MSc Advanced Computer Science
University of Hertfordshire, UK
Specializing in Artificial Intelligence, Cloud Computing, and Cybersecurity. Currently developing an AI Architecture Pattern Evaluator for my final project.
Jan 2024 – Feb 2026
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.
Jul 2018 – Jun 2022
My Projects
A showcase of key projects I've developed or significantly contributed to.
AI Architecture Pattern Evaluator
Developed a web-based evaluation tool using Streamlit and Python to help developers select optimal architecture patterns for deploying Generative AI applications at scale.
Key Features:
- Performance scoring for latency & throughput
- Interactive data visualizations
- Data-driven architectural decisions
- Focus on scalability and AI workloads
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
- Containerized for easy deployment
Technologies Used:
Technical Skills & Tools
A comprehensive look at my core competencies and the technologies I use.