Software Engineer with less than a year in Python, Machine Learning & IoT.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Software Engineer with knowledge of Python, SQL, JavaScript, and software development fundamentals. Experienced in developing Machine Learning and IoT-based projects, with strong analytical and problem-solving skills. Passionate about building scalable applications and continuously expanding expertise in modern technologies.
ST MARTINS ENGINEERING COLLEGE
B.Tech · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Retinal Microaneurysm Detection from Color Eye Fundus Image
June 24, 2026 – Present
Developed an image processing pipeline for early diabetic retinopathy detection using hybrid fuzzy K-means clustering. Implemented preprocessing techniques (noise reduction, contrast enhancement, and color normalization) to improve image quality, achieving robust and efficient microaneurysm segmentation for automated medical screening.
Smart Hybrid EV Charging System
June 24, 2026 – Present
Developed an IoT-enabled EV charging system using ESP-32, GPS, GSM, and touchscreen interface for real-time monitoring, remote diagnostics, and safety alerts. Enhanced efficiency, user interaction, and scalability for smart grid integration.
Cultural Fit Analysis
The candidate's academic projects show an interest in diverse areas like medical imaging and IoT, indicating a breadth of technical curiosity. Involvement in the Hyderabad Youth Assembly and an entrepreneurship event suggests a proactive and community-oriented mindset. However, the candidate is still in early stages of their academic career with no professional experience, which limits the depth of cultural fit assessment for a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate problem-solving skills and an ability to work on practical applications. Participation in community development and entrepreneurship events suggests initiative and teamwork potential. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.