Transformer-Based Parkinson's Disease Detection Using Multimodal Gait Signals
Summary
A research project focused on detecting Parkinson's disease through multimodal gait signals using advanced ML/DL techniques and NLP/LLM applications.
About
Highly motivated Computer Science Engineering student specializing in AI/ML and full-stack development, with a strong academic record (CGPA: 9.41). Possesses practical experience from multiple internships, developing robust systems like an e-Gate Pass Management System and an NLP-driven Resume Parser. Adept at leveraging technologies such as Python, Java, and the MERN stack to build innovative solutions and optimize processes for enhanced efficiency and user experience.
Work
RDCIS, SAIL
|Intern
Ranchi, Jharkhand, India
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Summary
Developed and implemented a comprehensive e-Gate Pass Management System using full-stack web technologies, enhancing operational efficiency and security.
Highlights
Engineered a full-stack e-Gate Pass Management System utilizing XAMPP, PHP, HTML, CSS, JavaScript, and MySQL for secure access control and streamlined operations.
Automated gate pass issuance and management, significantly reducing manual intervention and improving entry/exit process efficiency.
Implemented key features including secure user login, pass request workflows, an admin dashboard for efficient request management, and real-time monitoring capabilities.
Bharat Intern
|AI Intern
Ranchi, Jharkhand, India
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Summary
Designed and implemented an NLP-driven Resume Parser to automate critical information extraction, significantly improving recruitment workflows.
Highlights
Developed a Resume Parser utilizing Natural Language Processing (NLP) to accurately extract critical information such as skills, education, and experience from resumes.
Enhanced recruitment workflows by automating data extraction, reducing manual effort and improving the efficiency and accuracy of candidate screening processes.
Oasis Infobyte
|Intern
Ranchi, Jharkhand, India
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Summary
Built Java-based back-end solutions, addressing real-world problems and demonstrating strong problem-solving capabilities.
Highlights
Engineered robust Java-based back-end solutions, successfully addressing and resolving real-world technical problems.
Applied core programming principles and data structures to develop scalable and efficient software components.
Education
C.V. Raman Global University
Bhubaneswar, Odisha, India
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Bachelor of Technology
Computer Science and Engineering (AI & ML)
Grade: CGPA: 9.41
Courses
AI-0: The Basics of Data Science (Univ.AI)
Machine Learning
Prompt Engineering
Python
Jawahar Vidya Mandir
Shyamali, Ranchi, Jharkhand, India
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AISSCE (12th Grade)
Science
Grade: 96.4%
Jawahar Vidya Mandir
Shyamali, Ranchi, Jharkhand, India
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AISSE (10th Grade)
General Studies
Grade: 95.83%
Awards
2nd Prize in Essay Writing
Awarded By
Khadi and Village Industries Commission
Awarded second prize in a national essay writing competition, demonstrating strong communication and analytical skills.
Qualified for 2nd Round of Scavenger Hunt Event
Awarded By
IIM Sambalpur
Advanced to the second round of a competitive scavenger hunt event, showcasing problem-solving and strategic thinking abilities.
Certificates
PCAP: Programming Essentials in Python
Issued By
Cisco Networking Academy
Introduction to Networks
Issued By
Cisco
Cybersecurity Essentials
Issued By
Cisco
Skills
Databases
SQL, MySQL, MongoDB.
Programming Languages
Java, Python, C, C++.
Web Development
HTML5, CSS3, JavaScript, Bootstrap 5.
Tools
XAMPP, Github, PHP, VS CODE, Express.js, React.js, Node.js.
Concepts & Technologies
Machine Learning, Deep Learning, NLP, Data Structures and Algorithm, Cloud Computing, AI, LLM, AWS, AZURE, GCP, Prompt Engineering, GenAI.
Soft Skills
Problem-Solving, Team Collaboration.
Projects
E-Gate Pass Management System
Summary
A system developed during training to streamline and monitor e-gate passes, enhancing security and efficiency.
Food Ordering Website
Summary
A full-stack food ordering web application developed using the MERN stack for real-time menu browsing and order management.