I'm a final-year Computer Science student at the University of Leicester (graduating 2026), passionate about Artificial Intelligence and its potential to solve complex, real-world problems. Throughout my degree, I have continuously expanded my technical foundation in software development and data analytics, with a distinct focus on machine learning, computer vision, and responsible AI methodologies. Most recently, for my Final Year Project, I programmed a Python-based Computer Vision pipeline to detect structural defects in welded joints. Because this is a high-stakes domain where false negatives are unacceptable, I implemented strict validation thresholds to flag risks and automate visual reporting while maintaining data integrity. I approach challenges with an analytical mindset and enjoy breaking down complex problems into manageable solutions. I thrive in collaborative environments and believe in the power of technology to make a positive impact.

This profile showcases a range of my work, including foundational projects from my earlier studies and advanced AI and development projects from my final year.

A collaborative, community-driven environment that will equip me with the early-career research experience, technical tools, and transferable skills necessary to confidently pursue advanced academic research or a dedicated career in the AI sector.

I am eager to apply my analytical abilities and growing research interest in a practical setting. I am particularly seeking:

• Research-related internship opportunities(especially AI-related) where I can contribute to meaningful projects, gain hands-on experience with various research methodologies (especially qualitative and mixed-methods), and support data analysis.
• Opportunities to collaborate within a dynamic team and learn from experienced researchers, particularly in fields intersecting with AI systems, healthcare, or data science.

This section highlights key projects from my BSc in Computer Science, demonstrating a transition from foundational software engineering (software development, data analysis, and design principles) to advanced research in Artificial Intelligence, Deep Learning, and Responsible AI. More details and the source code for each can be found in their respective repositories.

• Automated Quality Control System for Welded Joints
  • 🔗 Repository: [View Project]
  • Engineered a Python-based Computer Vision pipeline to detect structural defects in high-resolution industrial X-rays. Developed a custom Sliding Window Algorithm to process radiographs in overlapping patches using a VGG16 architecture, deployed via a Flask REST API. Optimised for high-recall (>95%) to ensure safety in a domain where false negatives are catastrophic.

• AI for Space: Deep Learning Architecture & Optimisation
  • 🔗 Repository: [View Project]
  • Programmed custom CNNs in PyTorch to empirically study training instability and vanishing gradients. Implemented structural enhancements, including Residual skip connections, Batch Normalisation, and Dropout. Applied these architectures to process high-dimensional, multi-spectral satellite imagery for disaster assessment, utilising PyTorch DataLoaders to overcome Out-of-Memory (OOM) bottlenecks.

• Research Portfolio: Auditing Generative Models & Healthcare Alignment
  • 🔗 Repository: [View Project a]
  • 🔗 Repository: [View Project b]
  • Research projects involving:
    • 1. A rigorous HCI-focused audit of Microsoft Copilot, identifying hallucination risks in historical healthcare interfaces. The auditing framework and documentation earned a 95% grade.
    • 2. A critical analysis of LLMs in mental health, proposing socio-technical mitigations like decentralised "Sensitive Data Pods" and hard-coded crisis guardrails.

• Data Analytics: Web Scraping, Model Building & Evaluation (CW2)
  • 🔗 Repository: View Project
  • A project involving extracting data via web scraping, preparing the data, building predictive models, and evaluating their performance.

• Software Engineering Group Project: Gamified Web App for IBM SkillsBuild
  • 🔗 Repository: View Project
  • A collaborative project developing an interactive, gamified web application to enhance user engagement with IBM SkillsBuild learning modules.

• Software Architecture and System Development I:
  • Spring MVC/Boot App (Product Management System)
    • 🔗 Repository: View Project
    • Developed a system for managing shops and their products using Spring Boot and Spring MVC.
  • Spring Data (Pizza Management System)
    • 🔗 Repository: View Project
    • An application focusing on data persistence with Spring Data for a pizza management system.
• Databases and Domain Modelling: University Database Design and SQL Query
  • 🔗 Repository: View Project
  • Focused on relational database design, schema creation, and complex SQL querying for a university context.
• Object Oriented Programming: Loans Management System (CW1)
  • 🔗 Repository: View Project
  • A console-based application demonstrating core Object-Oriented Programming principles for managing loan accounts.

• Software Architecture and System Development II: Course Management Android App
  • 🔗 Repository: View Project
  • Developed an Android application for university lecturers to manage their courses and student enrolments.

• User Interface Design & Evaluation: Medium Fidelity Prototype
  • 🔗 Repository: View Prototype
  • Developed medium fidelity prototype for a weekend city(Bath) break website, focusing on user-centred design principles and iterative evaluation.

• 1. In-depth Scientific Report: Analysis of Snell's Law & Refractive Index

  • 🔗 Repository: View Full Report
  • Overview: An extensive scientific investigation into Snell's Law, focusing on determining the refractive index of a glass block through four distinct experimental methodologies. The report includes a detailed theoretical background, experimental procedures, data analysis, error considerations, and a critical discussion of the results.
  • Skills Demonstrated: Scientific research, experimental design, data analysis, critical thinking, scientific report writing.

• 2. Research Project: Understanding Downforce in Formula 1

  • 🔗 Repository: View Project & Poster
  • Overview: A pair research project exploring the aerodynamic principles of downforce in F1 racing. Culminated in a detailed poster presentation and a project diary documenting the research process, planning, and problem-solving over three weeks.
  • Skills Demonstrated: Collaborative research, physics application, technical communication, presentation skills, project logging.

• 3. Case Study: Numerical Methods for Root Finding (Maths for Engineering)

  • 🔗 Repository: View Case Study
  • Overview: An independent study investigating three numerical methods (Interval Bisection, Rearrangement, Newton-Raphson) for solving f(x) = 0. Involved theoretical understanding, application to a specific polynomial, analysis of convergence, failure modes, and a formal scientific report.
  • Skills Demonstrated: Numerical analysis, mathematical problem-solving, independent research, scientific reporting, use of Excel for iteration.

• 4. Physics Laboratory Reports

  • 🔗 Repository: View Lab Reports
  • Overview: A collection of formal lab reports from foundational physics experiments, including investigations into Material Resistivity, Snell's Law (initial lab book version), and Specific Heat Capacity (SHC). Each report adheres to rigorous scientific documentation guidelines.
  • Skills Demonstrated: Experimental execution, data collection & analysis, error analysis, scientific documentation, adherence to lab protocols.

• Design and Development of a Conical Gearbox (with Storyboard Animation)
  • 🔗 Repository: View Project
  • Overview: A comprehensive mechanical engineering design project involving the complete lifecycle of a conical gear reducer – from initial specifications (8kW, 2860rpm, 2:1 ratio) and material selection to detailed component dimensioning, creation of manufacturing-ready working drawings adhering to UNI ISO standards, and assembly planning. The project included a storyboard animation to illustrate its function and assembly.
  • Skills Demonstrated: Mechanical design, CAD (Autodesk Inventor, AutoCAD), engineering calculations (MATLAB, Excel), technical drawing, adherence to standards, project planning.

• Operating Systems: MacOS, Windows, Linux, Android and iOS

• Programming Languages: Python, Java, SQL, Shell Script, JavaScript, HTML5 and CSS3

• Frameworks & Libraries: Bootstrap, Tailwind CSS, jQuery, ReactJS, Spring Boot, Spring MVC, Spring Validation, Spring Data JPA, Pandas, NumPy, Scikit-learn, BeautifulSoup

• DevOps and Database: Git, Github, Gitlab, MySQL, PostgreSQL, MongoDB and Microsoft SQL Server

• Development tools and IDEs: IntelliJ IDEA, VS Code, Android Studio

• Other tools: Microsoft Excel, Desmos, Canva, Lucidchart, Pencil (UI Prototyping)

• Mechanical Design Software: Autodesk Inventor, AutoCAD, Solidworks, PTC Creo and MATLAB

• Concepts Developed: Entity-Relationship Diagram (ERD), Database Normalisation (3NF), XML, Material Design Components, Scrum, ScrumBoards, Agile, Web Scraping, Data Cleaning & Pre-processing, Feature Engineering, Machine Learning, User flow, Information architecture, Interaction design, Application of Nielsen's Heuristics.

I'm always looking to expand my skillset. My current learning focuses include:

• User Interface (UI) & User Experience (UX) Design principles: Exploring best practices for creating intuitive and engaging digital products.
• NoSQL Databases: Exploring technologies like MongoDB and understanding their use cases for scalable and flexible data storage.

• LinkedIn: [LinkedIn Profile] (https://www.linkedin.com/in/sushant-jasra/)
• Email: sjk@student.le.ac.uk
• View My CV: View CV