Sandeep Prajapati — Software Engineer

I am a Computer Science undergraduate at Galgotias University specializing in Artificial Intelligence and Machine Learning, focused on building intelligent systems, scalable backend architectures, and production-ready applications. My work spans deep learning, natural language processing, computer vision, distributed systems, and full-stack engineering. During my AI Internship at Infosys Springboard, I built end-to-end ML pipelines covering data preprocessing, feature engineering, model training, tuning, and deployment optimization. I have designed and deployed several real-world AI systems, including HydroVexel, a satellite-imagery-powered CNN for geospatial oil spill detection. The platform uses TensorFlow and Keras for model development, multi-layer convolutional pipelines for image analysis, and a full-stack deployment combining a React interface with a Node.js backend. It supports real-time inference, automated anomaly detection, and cloud-ready API integrations for large-scale environments. My technical stack includes Python for ML and scientific computing, Java for enterprise backend systems, and JavaScript with React for full-stack development. I work with Git and GitHub, containerization, REST-based API design, database optimization, and software engineering best practices. My grounding in data structures and algorithms includes graph theory, dynamic programming, and advanced search and sort paradigms aligned with system design and performance engineering. As a Google Student Ambassador, I engage with technologies like TensorFlow Extended for pipeline orchestration and Google Cloud Platform for scalable deployments. I contribute to open-source communities and earned Super Contributor recognition during Hacktoberfest 2025 through impactful, well-documented contributions across multiple repositories. Currently, as Tech Lead at GDG on Campus Galgotias and Perplexity Campus Partner, I lead initiatives focused on system design fundamentals, scalability strategies, and distributed computing. I also mentor contributors at GirlScript Summer of Code on collaborative development workflows and professional engineering standards. I maintain strong foundations in operating systems, networks, graphics, and communication models while preparing for high-level technical interviews through advanced DSA, system design studies, and structured problem-solving. I am driven by building systems that are scalable, maintainable, and impactful.

Stackforce AI infers this person is a skilled AI Software Developer with a focus on scalable systems and machine learning applications.

Location: Greater Delhi, India

Experience: 9 mos