I am a Computer Science student with experience in backend development, machine learning, and AI driven applications. Recently, during my internship at IIT Roorkee, I worked on transformer-based Android malware detection models using PyTorch and NLP techniques.
Education
2020
Secondary Education
Completed secondary education from Cantt Board Sr. Sec. School, Roorkee. Achieved School Topper position. Received Special Talent Recognition Award by CBSE for academic excellence.
2022
Senior Secondary Education
Completed higher secondary education from Atal Utkrisht Government Inter College, Roorkee. Ranked among Top 10 students in the district. Built strong analytical foundation in Mathematics and Science, which later supported programming and engineering studies.
2023 – 2027
B.Tech in Computer Science & Engineering
Currently pursuing a Bachelor of Technology in Computer Science & Engineering from Phonics Group of Institutions (PGI), Roorkee. Ranked among the Top 5 students in class. Focused on backend development, data science, machine learning, and system design. Actively building real-world projects in Python, Django, and AI-driven applications alongside academic coursework.
Experiences
2026
Android Malware Detection - Internship IIT Roorkee
Developed MalBERT-XAI, a novel multi-view DistilBERT model with cross-attention fusion for Android malware detection (99.5% accuracy, 5-class family classification). Built end-to-end pipeline: APK feature extraction, multi-view tokenization, transformer training, and 3-level explainability framework (LIME + Attention).
2026
Google Student Ambassdor
Joined the Google Student Ambassador Program, gaining hands-on experience in AI, community engagement, and leadership. Passionate about technology, learning, and building impactful solutions through innovation and collaboration.
2026
Open Source Contributor– Kolibri Learning Equality
Migrating and testing Vue component test suite from @vue/test-utils to Vue Testing Library. Designed 8+ comprehensive test cases covering user interactions, async operations, and error handling. All tests passing with code review approval from maintainers. Learning: VTL best practices, test-driven development, Git workflow.
Competences
Programming Languages and Tools
Python
Java
C++
Django
HTML
CSS3
JavaScript
MySQL
Pandas
Numpy
Kaggle
Docker
GitHub
Turtle
Pytorch
DistilBERT
Matplotlib
NLP
Plotly
Sscikit-Learn
Seaborn
Hugging Face Transformers
About Me
I am a Computer Science student with experience in backend development, machine learning, and AI driven applications. Recently, during my internship at IIT Roorkee, I worked on transformer-based Android malware detection models using PyTorch and NLP techniques. I have also built full-stack and AI-powered projects using Python, Django, Scikit-learn, and REST APIs, including real-time recommendation and automation systems. Alongside development, I contributed as an Open Source Mentor at GirlScript Summer of Code, mentoring contributors in Python and Djangobased projects. I am excited about the opportunity to learn, contribute, and grow in an engineering-focused environment like Google.
