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Python Engineer with less than a year in Web Development & AI/ML
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic and deal-oriented Computer Science graduate with a solid foundation in web development field. Skilled in languages such as HTML, Python, with hands-on experience through academic projects and intership. Eager to contribute to team sucess through hard work, continuous learning, and a passion for building efficient, scalable software solutions. Looking to start a career in a dynamic web development role where i can apply my technical skill and grow as a professional.
Anna University
B.E Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Fracture Dectection and Hospital Queue Management System (Final Year)
January 1, 2025 – June 30, 2026
Developed an AI-powered healthcare application using Python, Streamlit, and OpenCV to assist in preliminary fracture detection from X-ray images. The system analyzes medical images and provides fracture severity insights, supporting healthcare professionals in faster decision-making and reducing the time required for initial diagnostic assessments. Designed and implemented a smart hospital queue management module featuring token-based scheduling and digital patient tracking. The solution streamlined appointment handling, reduced overcrowding in waiting areas, and improved operational efficiency by organizing patient flow and minimizing delays in healthcare service delivery. Integrated an automated reminder and notification mechanism that alerts patients when their appointment turn is approaching, reducing unnecessary waiting time and congestion. Built as a unified web-based platform for doctors, hospital staff, and patients, the system enhanced user experience, accessibility, and overall healthcare management efficiency.
View ProjectNumber plate detection using OpenCV
January 1, 2025 – December 31, 2025
Developed an automated vehicle number plate detection system using Python, OpenCV, and Haar Cascade Classifiers to accurately detect and localize license plates from both live video streams and static images. Designed the application to process visual inputs efficiently, providing reliable plate identification suitable for traffic monitoring, parking management, and security-related applications. Preprocessed image data through grayscale conversion, edge detection, and contour analysis to enhance detection accuracy and reduce false positives. Integrated OCR (Optical Character Recognition) with Tesseract to extract alphanumeric characters from detected plates, facilitating automated vehicle identification.
View ProjectConsolidification of data report using Linq
January 1, 2023 – December 31, 2024
Designed and implemented advanced LINQ queries to collect, aggregate, and consolidate data from multiple sources into comprehensive reports. Improved data accessibility, enhanced reporting accuracy, and significantly reduced manual effort by automating complex data processing workflows across different business datasets and reporting requirements. Optimized performance of data operations by leveraging deferred execution and efficient filtering, grouping, and projection techniques within LINQ. Integrated LINQ with Entity Framework to streamline data retrieval from relational databases, enabling dynamic report generation and enhanced scalability.
Prime Body Championship
January 1, 2023 – December 31, 2024
Developed a web-based bodybuilding championship management platform that enables athletes to register and apply for competitions across multiple categories, including Bodybuilding, Men's Physique, Women's Physique, and other fitness divisions through a streamlined and user-friendly interface. Designed and implemented secure participant registration, category selection, and application management features using Python and Django, ensuring efficient handling of athlete information, event details, and competition workflows while providing an organized experience for both users and administrators. Integrated an e-commerce module that allows users to browse and purchase fitness supplements such as protein powders, creatine, and pre-workout products at competitive prices, enhancing the platform by combining event participation and fitness product accessibility in a single system.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, from web development to AI/computer vision and healthcare, which suggests adaptability and a willingness to explore different domains. The projects are well-described, indicating a proactive approach to learning and application. However, as an entry-level candidate with only academic projects, the depth of experience in collaborative environments or handling real-world project constraints is not evident. The psychometric test score is 0, which provides no insight into cultural fit aspects like team collaboration.
Soft Skills & Operational Fit
The candidate's profile mentions 'Critical thinking and Problem solving', 'Teamwork', 'Leadership', and 'Time Management' as skills. Project descriptions indicate an ability to design and implement complex systems, suggesting problem-solving and organizational skills. However, without professional experience or specific examples of these skills in action, it's difficult to fully assess operational fit. The psychometric test score is 0, which is insufficient to evaluate work attitude, stress handling, or team collaboration.