Sneha
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with less than a year in Full-Stack & Machine Learning
Entry-level Software Engineer with hands-on experience in building and testing full-stack applications, backend services, and API-driven systems. Proficient in Java and Python with strong foundations in object-oriented programming, test case design, and debugging. Experienced in developing scalable systems with a focus on reliability, validation, and performance. Comfortable analysing data in Python (Pandas, NumPy) and SQL under Git version control, mindful of the security and confidentiality of sensitive data in research settings, and a self-starter who thrives in fast-changing, high-ambiguity environments. Demonstrates a strong inclination toward designing testable architectures, automating workflows, and ensuring software quality across development lifecycles.
University of Edinburgh
MSc Computer Science · Computer Science
September 1, 2026 – Present
Manipal Institute of Technology
Bachelor of Technology · Computational Intelligence
August 1, 2021 – June 30, 2025
SCM Intern - Maini LLC
SCM Intern
October 1, 2025 – February 1, 2026
India
National Informatics Centre
Software Engineering Intern
August 1, 2025 – October 1, 2025
India
Coronary Artery Disease Detection Using Machine Learning
June 1, 2026 – Present
Designed and developed a full-stack application for coronary artery disease risk prediction using machine learning models. Implemented a backend prediction API using Python and Flask, serving real-time predictions from trained ML models. Built a responsive frontend using React, TypeScript, and Tailwind CSS, with client-side validation and health metric computation, handling sensitive clinical health data with care for its security and confidentiality. Developed and evaluated multiple ML models (Logistic Regression, Random Forest, SVM, XGBoost), selecting an optimised stacked ensemble based on accuracy and interpretability. Integrated REST APIs, JSON-based data exchange, error handling, and deployed the application on cloud platforms (Vercel & Railway). Skills Gained: Full-stack development, backend API design, machine learning integration, RESTful services, cloud deployment, and testing.
Accessible Web-Based Quiz System
June 1, 2026 – Present
Engineered an accessibility-centric Django-based platform with speech recognition, text-to-speech, real-time performance analytics, and adaptive UI for personalised user interaction. Users can track progress with real-time scores and visualise their performance through detailed graphs for an engaging and inclusive experience.
Android Travel Management System with Cloud & API Integration
June 1, 2026 – Present
Architected a mobile application using Android Studio with Firebase authentication, SQLite, and third-party APIs for real-time travel planning, data synchronisation, and dynamic user experience. Easy to navigate and packed with helpful features, from instant flight and hotel bookings to tailored recommendations about tourist spots in a place, integrated with APIs for weather and navigation.
Python-Based Expense Tracking and Financial Analysis Tool
June 1, 2026 – Present
Developed a Python-based desktop application leveraging Tkinter, SQLite, and data visualisation to enable structured expense tracking and actionable financial insights. User-friendly interface that allows users to input and categorise various expenses, such as bills, groceries, entertainment, and more. Also provides visual insights and suggestions for the same.
Introduction to Cloud Computing
IBM
June 1, 2026 – Present
Introduction to Python
University of Pennsylvania
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects showcase diversity in application domains (healthcare, education, travel, finance) and technology stacks (Python/Flask/React, Django, Android/Firebase). Participation in competitive events and leadership roles indicates proactivity and a willingness to engage beyond academics. The target role of 'Software Engineer' aligns well with their full-stack development, testing, and machine learning integration skills. The breadth of skills and project types suggests adaptability and a curious mindset, which are positive indicators for cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates a self-starter mentality, evidenced by participation in Techstars Startup Weekend and competitive coding events. Their experience in cross-functional team collaboration during internships and leadership roles in college committees suggests good teamwork and communication skills. The focus on accessibility and user experience in projects indicates a user-centric approach. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is limited.