About Prince Malani
AI Specialist and Data Scientist at 1M1B (1 Million for 1 Billion). Specialized in designing, architecting, and deploying production-grade AI systems, Large Language Model (LLM) pipelines, Retrieval-Augmented Generation (RAG) architectures, high-performance REST APIs with FastAPI, modern web applications with React, and mobile applications with Flutter and Android (Kotlin). Awarded Employee of the Month (July 2026) for outstanding technical leadership.
Core Technical Expertise
- Artificial Intelligence & Machine Learning: Large Language Models (OpenAI, Google Gemini), RAG (Retrieval-Augmented Generation), Computer Vision, NLP, Vector Embeddings, Model Optimization.
- Full Stack & Backend Engineering: Python, FastAPI, Node.js, React, Next.js, RESTful APIs, System Architecture, MongoDB, PostgreSQL, Microservices.
- Mobile Engineering: Flutter, Dart, Android (Kotlin / Java), MVVM Architecture, State Management, Offline-First Architecture.
- Cloud & DevOps: AWS (EC2, S3), Hostinger, Nginx, Docker, CI/CD, SSL/DNS Management.
Work Experience
Leading end-to-end development of AI, backend, mobile, and cloud solutions. Architected and deployed 6 production platforms including AgriBridge, Career Jyoti, Job Mela, and CWC. Awarded Employee of the Month (July 2026).
Developed scalable web platforms, APIs, and responsive frontends utilizing React, Node.js, and modern cloud deployment pipelines.
Engineered native Android applications using Kotlin, Java, and MVVM architecture with seamless API and background service integrations.
Featured Engineering Projects
Research Publications
- Unlocking Enigmatic Pathways: Empowering Student Dropout Analysis with Machine Learning and Energizing Holistic Investigation
- EduFace: Employing a Novel Unified Patch Spatial Channel Attention (UPSCA) Architecture for Enhanced Face Recognition in Real-Time Classroom Attendance System