Stephen Raj

AutoSnap is an AI-driven vehicle inspection and resale platform designed to simplify the car buying, selling, and evaluation journey for both individuals and dealerships. Developed by AllureCent Software Solutions, the platform seamlessly blends image recognition, real-time pricing intelligence, and digital workflows—empowering users to conduct vehicle assessments, generate instant quotes, and list vehicles on partner marketplaces with minimal friction. As the lead strategist and technology partner, I guided the complete development cycle of AutoSnap—from conceptualization and UI/UX design to backend logic and marketplace integrations. The platform’s tech stack included Flutter for cross-platform mobile app development, Node.js and Python for backend and AI engine operations, Firebase for real-time communication, and MongoDB for scalable data storage. At its core, AutoSnap’s AI Visual Inspector uses computer vision algorithms to detect dents, scratches, tire wear, and windshield cracks from uploaded photos—scoring the vehicle’s condition within seconds. Buyers and sellers benefit from a transparent Dynamic Pricing Engine powered by real-time market data, which calculates the fair market value of a vehicle based on model, age, condition, location, and demand trends. Users can instantly accept offers, negotiate, or list their vehicles on connected third-party platforms, including OLX, CarTrade, and Droom. A Dealer Dashboard gives used car dealers access to pre-verified leads, instant bidding opportunities, and stock planning tools, while individual users enjoy guided inspections, pickup scheduling, and document digitization—all within the app. Since its launch, AutoSnap has processed over 50,000+ vehicle inspections, reduced the average resale timeline by 45%, and improved closing rates by 60% for partner dealerships. It stands as a transformative solution in the pre-owned auto sector—bridging automation with trust in an industry long driven by manual processes.

Autopilot IO is an AI-driven automation platform developed to streamline operational workflows and optimize decision-making across enterprise environments. As the project lead at AllureCent Software Solutions, I was responsible for end-to-end architecture, design, and deployment of the system, which integrates real-time data analytics, machine learning models, and intelligent triggers to remove manual dependencies from business processes. The core objective was to enable teams to operate at scale with minimal human intervention. Autopilot IO is equipped with features like process mapping, task orchestration, automated notifications, and AI-powered recommendations. It supports integration with a wide range of third-party tools, including CRMs, ERP systems, cloud storage, and communication platforms, ensuring adaptability in diverse enterprise ecosystems. Key technologies used include Python, Node.js, React Native, TensorFlow, Firebase, and RESTful APIs. The backend infrastructure is hosted on AWS using a microservices architecture to allow for modular scaling and faster deployments. Special attention was given to cybersecurity protocols and data encryption to ensure enterprise-grade compliance. This project also included the development of a user-friendly dashboard that provides insights into system health, automation performance, and actionable analytics — helping businesses stay in control while reducing costs and operational delays. Autopilot IO is currently live and in active use by several clients in the logistics, finance, and retail sectors. The solution has improved task efficiency by over 40% and reduced manual error rates significantly, aligning with our long-term vision of frictionless digital transformation.

As part of my journey at NIBM, I had the opportunity to actively engage in operations management and HRM initiatives. From streamlining workflows to improve operational efficiency to implementing HR strategies focused on talent acquisition and employee development, these experiences have enriched my understanding of both fields. I’ve gained practical insights into optimizing resources, enhancing team performance, and fostering a workplace culture that drives productivity. This hands-on exposure has equipped me with a strong foundation to apply strategic solutions that support organizational goals and drive sustainable growth.

During my B.Com studies at Jain University, I developed a solid foundation in key areas of business, including accounting, finance, economics, and business management. My coursework and projects focused on applying theoretical knowledge to real-world scenarios, which strengthened my analytical and problem-solving skills. Additionally, I participated in collaborative projects and presentations, gaining experience in teamwork and effective communication within diverse groups. This academic background has been instrumental in building my understanding of core business principles and preparing me for professional challenges in the corporate world.

At St. Joseph’s Pre-University, I built a strong foundation across computer science, business studies, economics, and accounting. My studies provided hands-on experience with coding fundamentals and data analysis, while deepening my understanding of business principles, economic theory, and financial practices. Through various projects and coursework, I enhanced my analytical and critical thinking skills, developed a problem-solving mindset, and learned to approach challenges from a multi-disciplinary perspective. This background has equipped me with a versatile skill set, ready to support data-driven and strategic decision-making in dynamic business environment.