📍 Bengaluru, India
🧠 Research-driven ML & Scalable Systems
🎓 Distinction Award Scholar
I’m a 6th-semester Computer Science student at PES University (Batch of 2027) passionate about Full Stack Development, Cybersecurity, and Machine Learning.
I love building things that sit at the intersection of design, security, and intelligence—from crafting intuitive full-stack web apps to research-grade ML pipelines.
Currently:
- 🧠 Analyzing seasonal brain activity using Transformers (BrainLM) on fMRI data
- 🔐 Exploring Network Security protocols and Agentic AI workflows
- 📝 Co-authoring 3 research papers
- 👩🏫 Teaching Assistant for DDCO (Digital Design & Computer Organization)
- Developed a multimodal ML pipeline for the binary classification of eating disorders.
- Integrated fMRI data with clinical questionnaires using optimized Logistic Regression models.
- Applied SHAP for interpretability & biomarker discovery.
- Co-authoring a research paper (in progress).
- Mentored 120+ students through labs, evaluations, and concept building.
Deep Learning • Transformers • Python
- Modeling seasonal brain connectivity using the BrainLM architecture.
- Processing longitudinal fMRI data from the Simon and Kirby datasets.
- Visualizing neural network variations via SPIDER-NET.
FastAPI • React • MySQL
- Full-stack media tracking platform with complex relational schemas.
- Implemented stored procedures & triggers for automated analytics.
- Engineered 30-day intelligent API caching.
C • Python • Agile
- Modular system monitoring dashboard created via a 3-sprint Agile workflow.
- Implemented rule-based real-time alerts and resource visualization.
- Delivered strictly within the project lifecycle timeline.
- 🎓 Distinction Award Scholarship
- 👩💼 Class Representative
- ☁️ AWS Certified (EC2, VPC)
💖 Building things that matter, one system at a time 💖