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ABOUT / 02Background · Philosophy
Building intelligent software with principled engineering.
I am a Computer Science Engineering student specializing in AI/ML at CMR University, Bangalore. My work focuses on building practical machine learning systems, high-performance backend architectures, and thoughtful software that solves concrete engineering problems.
I prioritize clarity, explainability, and performance over black-box complexity. Whether fine-tuning heuristic threat detection in cybersecurity or orchestrating structured multimodal AI pipelines, I build software designed for production reliability and transparent reasoning.
LocationBangalore, India
EducationB.E. CSE (AI/ML)
CMR University (2022–2026)
Eng. FocusApplied ML • Backend • Systems
Open ToEngineering Roles
Internships • Collaborations
AI & Machine Learning
Developing applied ML pipelines, NLP models, and explainable AI attribution engines that offer verifiable predictions.
Backend Engineering
Designing high-concurrency FastAPI & Node.js services, database schemas, authentication layers, and reliable APIs.
Full Stack Systems
Building responsive, modern web applications with Next.js, React, and TypeScript, engineered for production performance.
Cybersecurity & Systems
Creating threat detection systems, heuristic analysis tools, and browser extensions that safeguard user workflows.
Recognition & Honors
Verified Credentials
National hackathon recognitions and competitive engineering milestones.
Engineered Veridex, an edge-AI phishing detection platform combining TF-IDF and Random Forest with LIME explainable AI attribution. Selected as a national finalist and presented the live Chrome extension and FastAPI detection engine.
Explore Case StudyVeridex — AI Phishing Detection System