AI & Machine Learning
Engineering Student
Building practical, AI-powered applications. I combine rapid backend prototyping with clean, intuitive frontend design to make everyday tasks easier.

About Me
My professional objective and focus.
I am an Artificial Intelligence and Machine Learning Engineering student who enjoys turning ideas into practical, user-focused products. My interest in technology began in school through simple web development experiments and grew into a passion for building solutions that make everyday tasks easier.
Over time, I became particularly interested in AI and Machine Learning because of their ability to uncover patterns, automate processes, and create intelligent applications that solve real-world problems. Since then, I have worked on projects that combine AI, software development, and modern web technologies to transform ideas into functional products.
My approach to development is highly iterative. I enjoy rapidly prototyping, testing concepts, and refining solutions based on user needs and feedback. While I leverage modern AI tools to accelerate development, I focus on product design, problem-solving, user experience, and ensuring that the final solution delivers real value.
I am currently seeking opportunities to learn from experienced engineers, deepen my understanding of scalable software systems, and contribute to teams building impactful technology. My goal is to combine strong engineering fundamentals with AI-driven innovation to create products that are both useful and meaningful.
Technical Skills
Technologies and tools I work with.
Languages
Frontend Frameworks
Backend Frameworks
Databases & Cloud
AI & ML Tools
DevOps & Automation
Works seamlessly with your tech stack
Integrating with my favorite technologies
Featured Projects
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AI-powered debit card fraud detection interface built for FinTech applications, designed to seamlessly identify anomalous transaction patterns.
- Secured Top 30 state-wide rank in the HACKTRIX hackathon.
- Engineered secure authentication workflows with Clerk & MongoDB.
Education & Achievements
Academic background and key progress.
B.E. in Artificial Intelligence & Machine Learning
CGPA: 9.28 / 10.0
Relevant Coursework: Machine Learning, Database Management Systems (DBMS), Operating Systems (OS), Deep Learning.
Class 12 (Pre-University)
Score: 92.5%
Completed core science curriculum with high distinction.
Class 10 (High School)
Score: 95.68%