AI/ML Graduate | Research Enthusiast
Driven by curiosity and passion for artificial intelligence, I specialize in creating intelligent solutions that bridge complex algorithms and real-world applications.
As a B.Tech Computer Science Engineering (AI) graduate with a CGPA of 7.18, I've developed a strong foundation in AI/ML technologies. My research in explainable AI for medical diagnostics has been published in IEEE Xplore and presented at ICTEST 2025.
I'm passionate about applying machine learning and data analysis to solve real-world problems, with hands-on experience in TensorFlow, deep learning, and NLP.
Showcasing innovative AI/ML solutions that demonstrate my expertise in developing intelligent systems for real-world applications.
Developed an AI-based diagnostic tool using CNNs for non-invasive disease detection. Integrated Explainable AI to align diagnostics with Traditional Chinese Medicine (TCM).
Built a Spring Boot application for dynamic registration, heartbeat scheduling, and deregistration of service instances. Developed RESTful APIs with secure basic authentication.
Converted video input to text using speech recognition and NLP. Implemented text summarization algorithms to provide concise summaries using Python libraries.
Mentoring students in computer science and AI technologies, fostering learning and innovation.
Led social media strategy and content creation to enhance community engagement.
Editorial responsibilities including content creation, review, and publication management.
Programming Languages
AI/ML Technologies
Ready to collaborate on exciting AI/ML projects or discuss opportunities? I'd love to hear from you!
Let's build the future with AI and machine learning technologies.