About
Aspiring AI/ML Engineer with a strong foundation in machine learning, data structures, algorithms, and object-oriented programming. Hands-on experience building and deploying regression, classification, and computer vision models in Python, with a focus on data-driven problem solving and software development practices.
Experience
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Machine Learning & Software Development PracticeCompany2025 – 2026
Education
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B.Tech - CSE (AI & ML)Takshashila UniversityAI & ML · 2023 – 2027
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Higher SecondaryState Board2021 – 2023
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SecondarySSLC Board2021 – 2021
Skills
Projects
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Python, Scikit-learn, Pandas, NumPy, Streamlit
Built and deployed an end-to-end regression pipeline to predict flight ticket prices from real-world travel data. Engineered predictive features and benchmarked Linear Regression against Random Forest Regression to improve MAE by ~40%.
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MedAssist AI – Intelligent Disease Prediction & Healthcare AssistantPython, FastAPI, PostgreSQL, Scikit-learn, Pandas, NumPy
Developed a full-stack AI healthcare application using FastAPI and PostgreSQL to predict diseases based on user symptoms. Built secure REST APIs with JWT authentication and integrated a Scikit-learn model for real-time disease prediction.
🏆 Achievements & awards
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3rd place in XE-Conclave Hackathon
Organized by Xebia at Takshashila University.
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Consistently maintained a CGPA of 8.4+ throughout the B.Tech program
AI & ML specialization.