About Prince Malani
AI Specialist & Data Scientist at 1M1B | Bangalore, India
The Engineering Journey
I wrote my first line of code in twelfth standard, and curiosity turned into obsession almost overnight. At LDRP Institute of Technology, I built my foundation in C, C++, and DSA, then found my calling in Machine Learning, topping my coursework and going on to win a state-level hackathon with my team. That momentum carried me into an internship at Infosol Pvt. Ltd., building activity-prediction systems with SVMs, KNN, and neural networks, and into the KAVACH National Hackathon, where we engineered three independent AI models for number plate and face recognition and presented before a national panel in Mumbai. Along the way, I built LLM-powered systems, scalable backends, and Android apps, then stepped into my first role as a Software Developer before moving into my current position as an AI Specialist, owning execution from research to deployment. Every milestone traces back to the same mindset: stay curious, keep building, never stop.
Working Philosophy & Architecture Style
Exceptional software isn't written it's planned. Before a single line of code exists, I've already understood the problem, explored every viable approach, designed for scale, and built in fallback strategies for when things go wrong. I choose clean architecture over quick wins, maintainable code over shortcuts, and rigorous testing over hope. Because great products aren't judged by how fast they ship they're judged by how reliably they run, months and years after deployment. I don't talk about quality. I build it, and let it speak for itself.
What I Do
I own the full technology lifecycle research, architecture, development, testing, deployment, and scaling turning ideas into production-grade applications. My expertise spans AI, backend systems, mobile development, and product engineering, and every solution I build is engineered for performance, reliability, and long-term maintainability. I don't stop at shipping. I go deeper into the mathematics behind Machine Learning and Deep Learning, because I believe engineers who stop learning stop leading.
Education & Research Foundations
LDRP Institute of Technology and Research — Bachelor of Engineering