Hi, I'm Deepesh Singh
Fourth-Year Computer Science Student
I have Solid expertise in data structures and algorithms, web development, and applied machine learning, with a passion for tackling CP problems.
I have Solid expertise in data structures and algorithms, web development, and applied machine learning, with a passion for tackling CP problems.
I am a fourth-year B.Tech Dual Degree student in Computer Science and Engineering at the Indian Institute of Technology Kharagpur (2022–2027). I am passionate about building efficient, scalable systems and applying strong problem-solving skills across software engineering and machine learning.
I have strong foundations in Data Structures and Algorithms, which I continuously refine through competitive programming. Alongside this, I have hands-on experience in full-stack web development and applied machine learning, enabling me to bridge core computer science principles with practical, real-world solutions.
Integrated B.Tech and M.Tech dual degree program in Computer Science and Engineering.
Completed senior secondary education with focus on science and mathematics.
Designed and implemented Jupyter Notebook experiments to analyze differential distinguishers for the ASCON permutation. Applied advanced cryptographic concepts to evaluate the strength and performance of ASCON under multiple differential scenarios using reproducible, interactive notebooks. Documented findings with in-depth commentary and visualizations, facilitating transparent results validation and further cryptanalysis research.
Created a comprehensive event management system utilizing EJS templating, JavaScript, CSS, and Handlebars. Enabled efficient planning, organization, and coordination of events through features such as event creation, user registration, ticket booking, and real-time notifications. Built intuitive interfaces for both organizers and attendees, supporting streamlined communication and operational workflows. Ensured a visually appealing and responsive design for enhanced user engagement.
Engineered a cloud-ready microservices banking backend leveraging Python, FastAPI, Docker, and Kubernetes, with support for multi-agent automation via MCP. Developed modular banking APIs, an in-memory smoke test framework, and secure transaction validation workflows to ensure robust financial operations. Integrated shell, PowerShell, and batch scripting for seamless deployment, automated tool calls, and agent coordination across distributed environments. Advanced build and orchestration using Dockerfile and Makefile for scalable container management and rapid CI/CD.
Developed a responsive multimedia database system using HTML, JavaScript, CSS, and SCSS, featuring a modern, user-friendly interface and dynamic content management. Implemented client-side data filtering, sorting, and search functionalities to efficiently organize and display multi-format media collections. Designed scalable layouts with custom styling, enabling seamless integration of diverse media types such as images, videos, and documents. Ensured cross-browser compatibility and optimized performance for an interactive user experience.
Developed a robust Gram Panchayat management system using PHP with a MySQL backend, featuring an intuitive and responsive user interface powered by Bootstrap. Engineered secure authentication and session management with built-in PHP security best practices, including input sanitization and CSRF protection. Implemented modules for citizen record management, service request processing, village resource tracking, and local governance notifications. Integrated comprehensive role-based access control, automated record archiving, and reporting capabilities for streamlined administration and transparency.
Developed and analyzed bias-variance models in a Jupyter Notebook environment, utilizing Python's scientific computing ecosystem. Explored core concepts of model performance, overfitting, and underfitting through interactive visualizations and data-driven experiments. Implemented statistical evaluation techniques including cross-validation, learning curves, and error analysis to demonstrate the trade-offs between bias and variance. Provided clear documentation and step-by-step code annotations for reproducibility and educational clarity.
Secured All India Category Rank 16
Ranked 495th out of 48,643 Participants
Ranked 27th out of 27,876 Participants