I'm a B.Tech Computer Science student at IIT Mandi passionate about technology. I've won Bronze in InterIIT Tech Meet 2023 and participated in various programming contests, hackathons, and tech events. As a software developer, I excel in web and app development with expertise in HTML, CSS, JavaScript, React, Node.js, Java, Kotlin, Flutter, and React Native. I'm enthusiastic about exploring the potential of ML and AI and have hands-on experience in data analysis, predictive modeling, deep learning, and game AI. I also have experience in database management, including relational and NoSQL databases like MySQL, PostgreSQL, MongoDB, and Firebase. In addition, I have a keen interest in cybersecurity and have worked on implementing security measures like intrusion detection, prevention systems, and vulnerability assessments.
As a software developer, I excel in both web & app development, with experience in a wide range of technologies. I am proficient in HTML, CSS, JavaScript, React, Node.js and have built web apps with Flutter and integrated APIs. On the app dev side, I worked with Java, Kotlin, Flutter, and React Native, and am experienced in backend development with Node.js and Firebase. With my expertise in both web & app development, I create efficient software solutions to solve real-world problems.
I'm passionate about Machine Learning and AI's potential to transform our world. I've implemented various techniques in my projects & developed intelligent agents for games using AI. My hands-on experience in data analysis, predictive modeling, deep learning algorithms, and game AI techniques from competitions and projects has prepared me for exploring the potential of ML and AI in various domains. I believe they are key to future technological advancements and am excited to continue exploring their possibilities.
I'm interested in database management, with experience in both relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, and Firebase. I've designed and implemented complex schemas, optimized queries for performance, and ensured data integrity and security. I'm familiar with tools like phpMyAdmin and have also worked with cloud-based databases like AWS RDS. I'm always looking to expand my knowledge and explore new technologies to enhance my skills as a database administrator.
I'm interested in cybersecurity and keeping systems and networks secure from potential threats and attacks. At Arista Networks, I worked on Wireless Intrusion Prevention System (WIPS) and gained experience in implementing security measures such as firewalls, intrusion detection and prevention systems, and vulnerability assessments. I stay up-to-date with the latest trends and technologies in the field to contribute effectively towards keeping systems and networks safe from cyber threats.
As a creative professional with diverse experiences, I possess a wide range of skills in software development, ML and AI, database management, and cybersecurity. I am well-versed in a variety of programming languages and frameworks, including C, C++, Python, HTML, CSS, JavaScript, React, Node.js, Flutter, APIs, Java, Kotlin, and Firebase. I have worked on several ML and AI projects, including supervised and unsupervised learning, kernels, boosting, trees, neural networks, heuristic game-AI algorithms, transformers, stable diffusion, and reinforcement learning. In the domain of database management, I have extensive knowledge of MySQL, MongoDB, Firestore, and PHPMyAdmin. I have also worked on cybersecurity projects, including Wireless Intrusion Prevention Systems (WIPS), Wi-Fi 6, and Wi-Fi 7. My experiences in these domains have helped me develop strong problem-solving skills, an analytical mindset, and an eye for detail. I am highly adaptable and thrive in a fast-paced, challenging environment. With my skills and experiences, I am confident in my ability to deliver innovative solutions and make valuable contributions to any project or team.
A fresh take on the classic tower defense game and AI to play it. Made in Python. The game contains 2 modes: Manual AI mode (genetic Algorithm mode) Player can choose to use the game in any of given modes. Implemented Genetic Algorithm from scratch whose performance matches human level performance.
Automated proctoring system for online exams and can be further extended to offline exams. The system is based on face recognition and gaze detection. The system is made in python and uses opencv, vgg2, etc. The system is made to work on low end devices and can be easily deployed.
Reverse the typical direction of a generative text-to-image model: instead of generating an image from a text prompt, creating a model which can predict the text prompt given a generated image. I made predictions on a dataset containing a wide variety of (prompt, image) pairs generated by Stable Diffusion 2.0, in order to understand how reversible the latent relationship is.
Please don't hesitate to contact. Expanding network always helps us find our way to the goal.