About
B.Tech Computer Science (AI & ML) student with hands-on experience in Python, core algorithms, and end-to-end machine learning workflows. Builds clean, modular utilities and predictive models, with practical experience in data preprocessing, exploratory data analysis, and collaborative development using Git/GitHub and Linux tools.
Education
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Bachelor of Technology in Computer Science & Engineering (AI & ML)Computer Science · 2025 – 2029
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Senior Secondary2023 – 2024
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Secondary2020 – 2021
Skills
Tools / apps / platforms
Languages
Projects
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Student Record Management UtilityC, Dynamic Memory, File I/O
Engineered a CLI utility providing disk-persistent record storage, custom serialization, and dynamic memory allocation. Optimized record search and updates using memory pointers and binary search routines.
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Algorithm Visualizer & Complexity AnalyzerPython, Java, C++
Implemented core algorithms with step-by-step logic tracing and state updates. Benchmarked execution profiles across diverse data distributions to confirm theoretical Big-O curves and used structured edge-case unit testing.
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Tabular Data Preprocessing & Predictive ML PipelinePython, Scikit-Learn, Pandas
Constructed a modular machine learning pipeline to preprocess raw multi-feature datasets, handling imputation, categorical encoding, and feature scaling. Trained and validated classification models with stratified k-fold cross-validation and analyzed model metrics with automated visual feature correlation heatmaps.