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Harshavardhan H N

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Student

Information Science and Engineering Student

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Bengaluru

About

Harshavardhan H N is a student pursuing Information Science and Engineering with a strong background in programming languages like Java, Python, C, and Javascript. He has experience with React, Git, GitHub, VS Code, PowerBI, and MySQL, focusing on Data Structures and Algorithms, DBMS, and OOPS. He has worked on several projects including a multilingual voice confirmation bot, a secure IoMT-based remote patient monitoring system, and an AI-powered job-profile matching and resume generation tool.

Education

Information Science and Engineering

Acharya Institute of Technology

Information Science and Engineering · 2023 – 2027 · CGPA: 8.7

PCMB (PU Board)

Narayana PU COLLEGE

Science · 2021 – 2023 · Percentage: 92.5%

Class: 10 (ICSE)

MES Kishore Kendra Public School

General Education · 2020 – 2021 · Percentage: 92.8%

Projects

Multilingual Voice Confirmation Bot

Built a full-stack voice automation system that places outbound calls to customers and confirms orders conversationally in 4 languages (English, Hindi, Kannada, Marathi) using Twilio Programmable Voice and rule-based NLP intent classification. Designed a role-based auth system with JWT tokens, engineered a real-time voice webhook pipeline, developed a customer shopping portal, and built a live admin dashboard.

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Secure IoMT-Based Remote Patient Monitoring and AI-Assisted Diagnosis System

Built a secure full-stack IoMT healthcare platform for continuous monitoring of ECG, SpO2, heart rate, and blood pressure using ESP32, MQTT, and WebSockets. Engineered an AI analytics engine using Random Forest/XGBoost for physiological anomaly detection and 1D-CNN for network intrusion detection. Implemented end-to-end security with Hyperledger Fabric, JWT-based authentication, RBAC, TLS/SSL encryption, and RLWE-inspired quantum-resistant authentication.

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AI-Powered Job-Profile Matching and Resume Generation

Collaborating in a team of four to develop a browser extension using MERN Stack and Python. Automates job-profile matching and dynamic resume generation by extracting job requirements from LinkedIn and Naukri. Utilizes NLP and Machine Learning to compare user profiles with job descriptions, highlight skill gaps, suggest improvements, and generate ATS-optimized resumes.

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Achievements

Head of Technical Team – STEIGEN

Leadership

Appointed as Assistant for Mentor in a State Level Hackathon

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