Welcome to my portfolio! I'm Satvik Eltepu, a passionate and driven software engineer currently pursuing a Bachelor of Science in Computer Science at the University of California, Los Angeles. With a strong academic foundation, I have immersed myself in diverse coursework ranging from deep learning with computer vision to operating systems, fueling my fascination with technology and innovation.
My professional journey includes co-founding CSX Labs, where I lead the development of scalable web applications using cutting-edge technologies like React.js, ElasticDB, and TailwindCSS. I have successfully secured contracts with startups, streamlined UI development, and implemented state management solutions, significantly enhancing efficiency and functionality.
In addition to my entrepreneurial endeavors, I have contributed to research at the Darko Marinov Research Group at UIUC, focusing on flaky test detection and publishing findings in esteemed conferences like ACM and ICSE. My role as Lead Software Engineer at WiFindit Worldwide allowed me to pioneer a cross-platform mobile application and secure a patent for innovative data-sharing solutions.
My projects showcase my versatility and commitment to solving real-world problems. From building a retrieval-augmented generation agent using advanced AI technologies to developing a mental health web application, I am dedicated to leveraging technology for impactful solutions. With proficiency in languages like C++, JavaScript, and Python, and expertise in frameworks and libraries such as Angular, React, and TensorFlow, I continuously seek opportunities to expand my skill set and take on new challenges. Explore my portfolio to discover how my experiences and projects align with my passion for technology and innovation.
Languages: C++, CSS, HTML, Java, JavaScript, Lisp, Python, TypeScript
Technologies: Angular, AWS, Emacs, Express, Git, Google Firebase, MongoDB, Node, OpenCV, React, Redux, Shell
Libraries: Bedrock, Chroma, Langchain, Matplotlib, NumPy, Ollama, OpenAI, Pandas, Scikit-learn, TensorFlow