I am an AI Engineer at Cognizant with 3.8+ years of experience in software engineering, backend development, and AI-driven solutions. My journey began with a strong foundation in Computer Science from Gaya College of Engineering, where I developed a passion for problem-solving, algorithms, and building scalable systems. Throughout my career, I have worked across backend, full-stack, and cloud technologies, designing and developing high-performance applications that solve real-world business challenges. My expertise spans Java, Python, Spring Boot, React, Next.js, MERN Stack, and modern AI technologies, enabling me to bridge traditional software engineering with next-generation AI solutions. I have a strong background in Data Structures & Algorithms and competitive programming, which has shaped my analytical thinking and engineering approach. I enjoy tackling complex technical problems, optimizing system performance, and designing scalable architectures that are reliable, maintainable, and production-ready. Beyond development, I have mentored and trained 10,000+ associates in modern technology stacks, helping engineers strengthen their technical foundations and accelerate their careers. This experience has enhanced my leadership, communication, and team-building capabilities. 💡 Core Strengths ✔ AI Engineering & Generative AI Solutions ✔ Backend Development (Java, Python, Spring Boot) ✔ Full-Stack Development (React, Next.js, MERN) ✔ System Design & Scalable Architecture ✔ Data Structures & Algorithms ✔ Cloud & Modern Engineering Practices ✔ Technical Mentorship & Leadership I am passionate about building intelligent products, leveraging Generative AI to create impactful solutions, and continuously learning emerging technologies. My long-term goal is to contribute to high-impact engineering teams where I can drive architecture decisions, solve challenging problems at scale, and build products that create meaningful value. I am always open to connecting with fellow engineers, AI enthusiasts, and technology leaders to discuss innovation, software engineering, and the future of AI-powered applications.