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Entry-Level Fullstack Engineer with AI/ML skills and a problem-solving mindset.
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Full-stack Software Engineer dedicated to architecting and building complex, end-to-end applications. Proficient in leveraging modern technologies, including AI, to create innovative and intuitive user experiences. Seeking to apply hands-on technical expertise and a collaborative, problem-solving mindset to drive product growth in a dynamic startup environment.
Sreyas Institute of Engineering and Technology
Bachelor of Technology · Computer Science
N/A – Present
FACE RECOGNITION AND EMOTION PREDECTION (Real time Project)
June 1, 2026 – June 1, 2026
In recent years, the integration of artificial intelligence (AI) into the field of computer vision has led to significant advancements in face recognition and emotion prediction technologies. These systems enable machines to not only identify individuals based on their facial features but also infer their emotional states by analyzing facial expressions.
MUSIC GENRE using Machine Learning
June 1, 2026 – June 1, 2026
Music genre classification in machine learning focuses on using algorithms to automatically identify or categorize music into genres. This field bridges audio signal processing, machine learning, and music theory, creating tools that can analyze and classify music based on its acoustic properties. By using methods such as feature extraction, neural networks, and deep learning, models can learn to differentiate genres based on characteristics like rhythm, timbre, harmony, and tempo.
WILDFIRE SPREAD PREDICTION USING MULTIMODAL DATA AND DEEP LEARNING APPROACH
June 1, 2026 – June 1, 2026
Wildfires are a significant global concern, posing threats to ecosystems, human lives, and property. The increasing frequency and intensity of these events, exacerbated by climate change, necessitate advanced predictive models to enhance preparedness and response strategies.
Agile Scrum
Scrum Learning Society
June 1, 2026 – Present
Machine Learning
Kaggle
June 1, 2026 – Present
Python
Kaggle
June 1, 2026 – Present
SQL
Hackerranker
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, focusing on AI/ML applications like face recognition, music genre classification, and wildfire prediction. While these demonstrate a breadth of interest in advanced technologies, they are all academic and lack real-world deployment or team collaboration context. The target role is 'Fullstack Engineer', and while AI/ML skills are valuable, the resume does not explicitly detail fullstack project experience beyond listing technologies. This suggests a potential gap in direct alignment with the 'Fullstack Engineer' role's typical demands for end-to-end application development, potentially impacting cultural fit for a pure fullstack team without an AI/ML focus.
Soft Skills & Operational Fit
The resume highlights soft skills such as Problem Solving, Team Collaboration, Analytical Skills, and Attention to Detail, which are crucial for a collaborative and dynamic startup environment. The Agile Scrum certification also indicates familiarity with agile methodologies, suggesting a good operational fit for teams practicing Scrum.