About Me
I'm a pre-final year Computer Science Engineering student at KIIT University, passionate about building efficient and scalable software solutions. My journey in tech has been driven by curiosity and a constant desire to learn.
With hands-on experience in Java, backend development, and web technologies, I've contributed to building systems that streamline HR processes and enhance hiring efficiency. I bring strength in workflow optimization, effective communication, and task coordination.
Currently, I'm focused on expanding my skills in distributed systems and exploring the intersection of AI and software engineering. When I'm not coding, you'll find me mentoring peers and leading learning sessions at E-Labs, KIIT.
Experience & Education
Work Experience
Innovation & Development Intern
- Developed understanding of recruitment workflows, data processing and candidate screening using an Applicant Tracking System (ATS)
- Built HireSmart, a full-stack ATS web application using React, Node.js, Express, and MongoDB
- Implemented user authentication modules (login/signup) and form handling using GET/POST methods
Java Team Lead
- Managed event coordination and execution for Java-related workshops and hackathons
- Mentored peers and led structured learning sessions to enhance collaborative skill development
- Facilitated knowledge sharing and hands-on coding sessions for junior members
Education
Bachelor of Technology (Computer Science Engineering)
2023 - PresentKalinga Institute of Industrial Technology, Bhubaneswar
Senior School Certificate Examination (ISC | XII PCM)
2022Loyola School, Jamshedpur
All India Secondary School Examination (ICSE | X)
2020Loyola School, Jamshedpur
Projects
A selection of projects that highlight my approach to building efficient, scalable and user-centric applications across full-stack and AI domains.
HireSmart
A full-stack Applicant Tracking System (ATS) designed to support HR teams by automating candidate screening interactions and optimizing recruitment workflows.
Explainable AI on Myocardial Infarction
An explainable machine learning model to predict myocardial infarction risk using clinical data and ensemble models, delivering interpretable, healthcare-focused insights.
Let's Connect
I'm currently open to new opportunities and collaborations.
Ready to build something amazing?
Whether you have a project in mind or just want to connect, I'd love to hear from you. Let's create something impactful together.
Send Me an Email