Engineering accessible, real-world AI — from mobile detection apps to automated business intelligence.

I build applied ML systems that solve concrete problems: detecting color blindness on-device, classifying plant disease from imagery, narrating text for the visually impaired, and automating analytics for small businesses. My work blends hands-on engineering with stakeholder communication, shaped by a background in public speaking, event leadership, and cross-team collaboration.

Specialization

Health Informatics within Computer Science Engineering — applying ML and data systems to healthcare and accessibility problems.

Core Expertise

Android development, applied AI & ML, CNN-based image classification, OCR/TTS accessibility pipelines, and business analytics automation.

Primary Stack

Java, Python, C++, SQL, Excel, TensorFlow, Android SDK, with a strong grounding in DSA and supervised ML.

Flagship Projects

Colour Blindness Detection App, CNN-Based Plant Disease Detection, Multi-Modal Text Narration, BizGenius AI Analytics Platform.

Leadership & Communication

Team lead on a 20-member campus sustainability drive, host of 15+ campus events, and an independent podcaster reaching listeners across 16+ countries.

Education

BTech in Computer Science Engineering, specializing in Health Informatics, at VIT Bhopal University, CGPA 8.32.

Certifications

Google IT Support Professional Certificate and Oracle AI Foundations Associate, alongside campus ambassador recognition for IIT Roorkee's Thomso.

Languages

Fluent communicator across technical, business, and public-facing contexts — orator, podcaster, and cross-team collaborator.

2025

Developed BizGenius AI, a business analytics platform combining AI-driven forecasting, sentiment analysis, and marketing support for small businesses.

2024

Co-developed an accessibility-focused mobile app pairing OCR and TTS for visually impaired users, leading integration and stakeholder communication.

2023-2024

Built a solo Android app for Ishihara-based color blindness detection, reaching 90% accuracy in user validation, and led a 5-member team on a CNN-based plant disease detection system.

2023-Present

Independently produced and hosted a podcast across Spotify, Amazon Music, and more — writing, recording, and designing every episode solo for an audience spanning 16+ countries.