ABHINAV RAJESH
Fullstack 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
Fullstack Engineer with less than a year in Python, Django & AI
I am a dedicated and self-motivated software developer with a strong passion for creating efficient, user-friendly, and reliable applications. I enjoy solving real-world problems through clean code, logical thinking, and continuous learning. With experience working on multiple academic and personal projects, I have developed solid skills in modern programming languages, web development, and backend technologies. In addition to software development, I have a growing interest in the fields of data analysis and business analysis, where I can leverage data-driven insights to support decision-making and improve outcomes. I am always eager to take on new challenges, collaborate with teams, and contribute to meaningful projects that make a positive impact.
Union Christian College
Master of Computer Applications
August 1, 2024 – June 30, 2026
Girideepam Institute Of Advanced Learning
Bachelor of Computer Application
August 1, 2021 – June 30, 2024
Medical College GHSS
Higher Secondary Education
June 1, 2019 – May 31, 2021
AI Age Predictor using Django, OpenCV and Deep Learning
October 1, 2025 – June 1, 2026
Developed an AI-powered Age Prediction web application using Python, Django, OpenCV, Deep Learning, and SQLite that predicts a person's age group from facial images. Implemented a complete end-to-end workflow including image upload, image processing, age prediction, prediction history management, and database integration. Built a responsive and professional dashboard using HTML, CSS, Bootstrap, and Django Templates with support for image preview, result visualization, and prediction tracking. Integrated a pretrained CNN-based AgeNet Deep Learning model using OpenCV's DNN (Deep Neural Network) module to perform age estimation from facial images. Utilized Computer Vision techniques, image preprocessing, blob generation, model inference, file handling, and database persistence to create a real-world AI application. The project demonstrates practical experience in Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Neural Networks, OpenCV, Django Web Development, Model Integration, and AI-powered Web Applications.
Point of Sale (POS) System – Web Application
October 1, 2025 – June 1, 2026
Developed a full-stack POS system to manage sales, billing, and inventory operations efficiently. The application includes user authentication, product management, real-time billing, and stock tracking features. Designed an intuitive dashboard for monitoring sales and inventory, along with analytics for business insights. Implemented data processing techniques such as aggregation, filtering, and transformation to analyze sales data. Integrated prediction algorithms including moving average and linear regression for sales forecasting, enabling better inventory planning and data-driven decision-making. Optimized backend logic and database queries to enhance performance and scalability.
Nursing Care Management System – Web Application
October 1, 2025 – June 1, 2026
Developed a web-based nursing care management system using Django to streamline patient care and healthcare operations. The application supports efficient management of patient records, staff coordination, and healthcare workflows through a structured and user-friendly interface. Focused on building a scalable and maintainable solution to support healthcare service management.
NPTEL Online Certification - Cloud Computing
Unknown
June 1, 2026 – Present
IBM SkillsBuild - Communicating with Impact
Unknown
June 1, 2026 – Present
Ethical Hacking Associate – EC Council
Unknown
June 1, 2026 – Present
Full Stack with Python – Cloud Innovations
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of interests, from AI/ML applications to business systems (POS) and healthcare management. This diversity suggests adaptability and a willingness to tackle different problem domains. The pursuit of certifications in Cloud Computing and Ethical Hacking indicates a proactive learning attitude, which aligns well with a culture of continuous improvement. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and self-described attributes.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as problem-solving, critical thinking, team collaboration, time management, multitasking, and communication. These are essential for a Fullstack Engineer role, indicating a potential for good operational fit within a team environment. However, these are self-reported and not validated by assessments.