I am Darshil Kalyani, currently pursuing a Master of Applied Computer Science (Co-op) at Concordia University, Montreal, with an expected graduation date in May 2027. I hold a Bachelor of Technology in Computer Science and Engineering from Indus University, where I graduated with a strong CGPA of 8.98/10. My academic background has provided me with a solid foundation in computer science principles and practical software development skills.
Throughout my studies and internships, I have gained hands-on experience in software development, automation, and data science projects. During my internship at the Physical Research Laboratory, I engineered Python automation scripts to streamline telescope operations, significantly reducing manual effort. I also developed a hybrid control interface using Tkinter that is actively used by scientists for astronomical observations.
In my role as a Front-End Developer Intern at Plumscope Inc., I contributed to building responsive web interfaces and collaborated in an agile team to deliver database-backed dynamic features. I focused on improving UI performance and maintainability, ensuring cross-browser and mobile compatibility.
I have worked on several projects involving advanced machine learning and natural language processing techniques, including sentiment analysis using BERT and RoBERTa models, semantic search engines leveraging Elasticsearch, real-time news analytics platforms, and disease risk prediction web applications. These projects demonstrate my ability to apply theoretical knowledge to real-world problems using modern tools and frameworks.
My technical skill set includes programming languages such as Python, Java, JavaScript, SQL, PHP, HTML, and CSS. I am proficient with frameworks and libraries like Django, Play Framework, React, PyTorch, Scikit-learn, and Tkinter. Additionally, I have experience with tools and platforms including Git, REST APIs, Elasticsearch, MySQL, MaxImDL, PyAutoGUI, and Telnetlib. I am familiar with key concepts such as data structures, algorithms, machine learning, natural language processing, transformer models, object-oriented programming, agile methodologies, and continuous integration/continuous deployment.
I am passionate about leveraging technology to solve complex problems and eager to contribute to innovative projects in software development and data science. I am continuously seeking opportunities to expand my skills and collaborate with teams that value creativity and technical excellence.
