About Me
I am a Computer Science and Engineering student with a strong foundation in programming, web technologies, databases, and core computer science concepts. I have worked on academic and personal projects involving Python, Flask, Streamlit, OpenCV, Java, MySQL, and machine learning, with a focus on practical problem-solving and building useful applications.
I am particularly interested in software development, data-driven systems, and applied machine learning. My project experience includes building an AI-based intrusion detection and firewall system, a smart travel recommendation platform, a brain tumour detection solution using MRI images, and a supply chain management system.
I enjoy working across the stack and learning how different technologies fit together to create reliable products. My technical toolkit includes Java, Python, C, HTML, CSS, JavaScript, MySQL, MongoDB, Git, GitHub, and VS Code, along with concepts such as data structures and algorithms, DBMS, operating systems, OOP, and cloud computing.
I have also completed multiple certifications that strengthened my understanding of Java, software engineering fundamentals, operating systems, MongoDB, machine learning, and cloud technologies. These experiences have helped me build both technical depth and a structured approach to learning.
I am looking for opportunities where I can contribute as a software developer or related technical role, continue improving my engineering skills, and work on meaningful products with real-world impact.
I am open to roles that allow me to grow in a collaborative environment and apply my knowledge to solve challenging problems. I value continuous learning, clean implementation, and building solutions that are both practical and scalable.
Notice Period: immediately
Skills
PythonAWSJavaMachine LearningHTMLCSSSoftware EngineeringMongoDBCloud ComputingFlaskOOPStreamlitOpenCVCDBMSGame Theory
Tech Stack & Tools
Libraries
Experience
No experience data available.
Education
B.E., Computer Science and Engineering
B.E in Computer Science and Engineering, CGPA 8.28/10.0.
II PUC, PCMB
Completed II PUC in PCMB with 86%.
Class X
Completed Class X with 84%.
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