siddharatha10

I am currently pursuing my M.Tech in Computer Science and Engineering at Thapar Institute of Engineering and Technology, Patiala. I completed my B.Tech in Information Technology from North-Eastern Hill University, where I built a strong foundation in programming, software development, data structures, databases, and computer science fundamentals. My academic journey has strengthened my analytical thinking, technical problem-solving, and ability to learn new technologies and apply them to real-world challenges.

Throughout my academic journey, I have worked on projects spanning artificial intelligence, machine learning, software engineering, and IoT. My projects include a Smart Attendance System using computer vision, CNNs, OpenCV, and FastAPI; an AI-enhanced smart parking prediction system using machine learning; a lifestyle and meal pattern analysis system using predictive models; and an IoT-based train-specific fire detection system integrating sensors, Arduino, LoRa communication, and Firebase. These projects have given me practical experience in developing solutions, integrating different technologies, building application interfaces, and solving technical problems from concept to implementation.

Alongside my academic and project experience, I have gained industry exposure through internships in frontend and UI development, working with technologies such as React.js, JavaScript, HTML, CSS, and Tailwind CSS. These experiences helped me understand application development, user interface design, collaborative workflows, and the importance of building reliable and user-focused software.

Currently, my work in AI training and evaluation involves both coding and non-coding tasks, complex problem-solving, task creation, response evaluation, and solution verification. I contribute to AI projects, including Dynamo, Parchment, Aligner, Ernis, Micro1, and Starfish, where my work involves evaluating AI-generated outputs, identifying logical and technical errors, improving solution quality, and ensuring compliance with detailed project guidelines. I also work on pipeline troubleshooting and fixing workflow issues to improve task execution, reliability, and overall quality. This experience has strengthened my ability to analyze complex requirements, assess technical correctness, and approach ambiguous problems systematically.

My core interests lie in Artificial Intelligence, Machine Learning, Software Development Engineering (SDE), and building scalable, reliable technology solutions. I enjoy working on challenging problems that require a combination of coding skills, logical reasoning, critical thinking, and technical judgment. I am comfortable exploring unfamiliar technologies, debugging issues, improving existing solutions, and adapting to demanding technical environments.

I see myself as a technically driven, adaptable, and results-oriented individual who values precision, ownership, and continuous improvement. My goal is to build a strong career at the intersection of AI and software engineering, contribute to impactful projects, and develop technology that solves meaningful real-world problems. I am always ready to take on challenging assignments, learn from complex problems, and deliver work that meets high standards of quality and reliability.