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Software Engineer with less than a year in AI/Data Science & Full-Stack Development
B-Tech graduate in AI & Data Science specializing in building cloud-ready and full-stack applications with strong foundations in software engineering, testing, and deployment workflows. Experienced with REST APIs, CI/CD concepts, authentication, containerized services, and databases. Skilled in Python and Java with hands-on exposure to problem solving, code reviews, and cross-functional collaboration. Actively seeking a Graduate Software Engineer role.
Priyadarshini College of Engineering
B Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Sampada college
HSC (12th)
June 1, 2020 – May 31, 2021
Suyash Convent
SSC (10th)
June 1, 2019 – Present
Coincent Technologies
JAVA Virtual Internship
January 1, 2026 – June 1, 2026
India
FIREBLAZE TECHNOLOGIES
Data Analyst Internship
December 1, 2025 – June 1, 2026
India
COURSE SELLING WEBSITE (Backend)
January 1, 2025 – June 1, 2025
Building a full-stack course-selling platform with secure authentication and role-based access. Implemented RESTful APIs, JWT-based authentication, and course management features. Integrated frontend and backend to enable seamless user experience and scalability.
Mental Disabilities Diagnosis
January 1, 2025 – June 1, 2025
Built machine learning models to analyse medical and behavioural datasets for early diagnosis support. Performed data preprocessing, feature selection, and model evaluation to improve prediction reliability. Applied SQL queries to manage and analyse structured medical data.
Pen-BOT-AI Scribe for Medical Transcription
January 1, 2025 – June 1, 2025
Developed an AI-powered medical transcription tool to convert doctor-patient conversations into structured clinical notes. Used NLP and generative AI techniques to extract and format medical information automatically. Improved documentation efficiency and reduced manual effort in healthcare workflows.
Drowsiness Detection
January 1, 2025 – June 1, 2025
Developed a real-time drowsiness detection system using computer vision techniques to improve driver safety. Implemented facial landmark detection and eye-aspect-ratio based logic to identify fatigue states. Improved drowsiness detection accuracy from 72% → 89% using EAR-based CV model.
SQL FOR DATA-ANALYTICS
FIREBLAZE
June 1, 2026 – Present
JAVA
HACKERANK
June 1, 2026 – Present
MACHINE LEARNING FOR DATA ANALYTICS
Unknown
June 1, 2026 – Present
JAVA
FIREBLAZE TECHNOLOGIES
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover a broad range of applications, from full-stack web development to AI/ML in healthcare and safety, indicating a diverse interest and willingness to explore different domains. This breadth of experience suggests a potential for adaptability and a learning-oriented mindset, which can contribute positively to cultural fit. The target role is 'Software Engineer', and the projects align well with this, especially the full-stack and AI/ML development work. However, the experience level is 0, and all projects are academic, which might require more mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse technical challenges, suggesting adaptability. The mention of 'cross-functional collaboration' in the profile summary points to potential team-oriented soft skills. However, without direct assessment data, the depth of these skills and operational fit cannot be fully determined.