Harsh Jaiswal
@harshjaiswal3
I'm building data-driven applications and iOS experiences with Java, Python, SwiftUI, and machine learning.
IndiaWhat I'm looking for
I've built SafeNest, an AI-based women’s safety risk prediction and geospatial monitoring app with a SwiftUI frontend, FastAPI backend, Firebase Firestore, and a Random Forest model engineered to 94.5% accuracy.
I’ve also developed machine learning platforms for blood donation participation and early diabetes risk identification, comparing models including Random Forest, XGBoost, Logistic Regression, and Artificial Neural Networks. My work combines predictive analytics with user-friendly interfaces, real-time updates, data validation, and risk visualization.
I’m a Computer Science student at Manipal University Jaipur who enjoys solving algorithmic problems and building scalable, user-centric software with clean code.
Experience
Work history, roles, and key accomplishments
Recent Graduate
N/A
Recently graduated in July 2026 with no prior work experience.
Education
Degrees, certifications, and relevant coursework
Manipal University Jaipur
Bachelor of Technology, Computer Science Engineering
Grade: 7.87/10
Pursuing a B.Tech in Computer Science Engineering with a CGPA of 7.87/10, expected to graduate in July 2026.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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