Biotech Student. AI Builder. Startup Founder.
Where life science meets artificial intelligence — building real tools that solve real problems in healthcare, research, and beyond.
From a small town to IISc Bengaluru — driven by curiosity and code.
I didn't get the branch everyone wants — no CSE, no AIDS, no CyS. I got Biotechnology. But I made a decision: my department wouldn't define my ceiling.
While studying life sciences, I taught myself Python, machine learning, deep learning, web development, bioinformatics — and built real tools that actually work. Not tutorials. Real systems.
That journey took me to IISc Bengaluru as a Research Intern, where I worked on Alzheimer's detection using gene expression data under Dr. K. Sekar — one of India's top research institutions.
I also founded New Star Infosis — a startup delivering AI, ML, and web solutions to students and organizations at accessible rates. Because good technology shouldn't be gated by money.
I'm in my element at the intersection of biology and AI — where a protein structure becomes a dataset and a disease becomes a solvable problem.
Applying AI and computational methods to biological data — from gene expression to protein structures. Building tools that bridge the lab and the algorithm.
Building intelligent systems and web applications — from computer vision and deep learning models to full-stack platforms that serve real users at scale.
Worked under Dr. K. Sekar at the Dept. of Computational & Data Sciences. Contributed to Alzheimer's Detection using Gene Expression and XGBoost with a Tkinter GUI. Processed GEO datasets, built ML models, conducted literature reviews.
Leading vision, strategy, and execution of a tech-focused organization delivering AI, ML, and software solutions. Providing final-year project mentoring, workshops, LLM-integrated projects, and automation systems to students.
Leading the InnoSphere innovation club — managing interdisciplinary research projects, coordinating teams across AI, biotech, and healthcare domains. Mentoring students and overseeing project execution and technical direction.
Computational approaches to real healthcare and research problems.
Large-scale gene expression analysis using GEO datasets (GSE48350) for Alzheimer's disease. Built Random Forest and Deep Learning models for disease classification and biomarker identification.
AI-driven protein similarity search using embedding-based representations for biologically meaningful detection beyond exact sequence matching. Applicable to target identification and functional annotation.
Developed ML and deep learning models for blood clot and stroke detection using CT scan images, focusing on diagnostic accuracy and clinical relevance.
Hybrid AI pipeline combining CNN-based feature extraction with XGBoost classification to improve performance on medical imaging tasks.
Workflow automation system for Cryo-EM facilities — slot allocation, experiment tracking, and notifications. Aligned with structural biology research environments.
Flask-based application to simulate enzyme kinetics and reaction behavior, supporting enzyme characterization relevant to biologics manufacturing.
Applications built to solve actual everyday problems.
Multi-role healthcare platform where hospitals, clinics, and medical shops each have unique IDs with permission-based access. Hospitals can see full patient history; shops and clinics have limited scope. Secure, role-based medical records.
Health management app where users set medicine schedules and water intake reminders. Automated email alerts sent at the right time — helping patients never miss a dose.
ML-powered network packet analysis system to detect malicious traffic patterns in real-time. Built using Scapy for packet capture and ML classifiers for anomaly detection.
Computer vision system using OpenCV for real-time face detection, recognition, and identity-based event handling — applicable to access control and attendance systems.
CNN-based application for automated plant disease identification from leaf images — demonstrating AI applications in agricultural biotechnology with practical farming impact.
Founded to make real-world tech skills accessible to every student — regardless of background or financial status.
A technology-focused organization delivering AI, Machine Learning, and Software Development solutions — with a focus on bridging the gap between academic learning and industry-ready skills.
I'm always open to collaboration, research opportunities, and meaningful projects.
Whether it's a research collaboration, a startup idea, a project, or just a conversation about AI and biology — I'm all ears.