Hello, I'm Hemanth S
Computer Science and Cyber Security Engineering Student | Passionate about building scalable and secure solutions.
About Me
Hi there! I'm Hemanth S, a passionate Computer Science and Cyber Security Engineering student with a strong drive for building innovative and secure technological solutions. My academic journey at M S Ramaiah Institute of Technology has equipped me with a solid foundation in data structures, algorithms, system design, and cutting-edge technologies. I thrive on tackling complex problems and am constantly exploring new ways to leverage technology for positive impact. I'm always eager to collaborate on exciting projects and contribute to a team that values creativity and excellence.
Education
M S Ramaiah Institute of Technology, Bengaluru
B.E - Computer Science and Cyber Security Engineering
CGPA: 9.82 2022 – 2026
Bengaluru, Karnataka
Projects
Ethical Hiring – AI Hiring Platform
Next.js, Firebase, AWS S3, NLP, Vapi AI | Jan'25
Developed a cutting-edge SaaS platform offering AI-powered mock interviews, integrating real-time voice interaction and secure resume handling. This project leverages advanced NLP and generative AI to personalize the interview experience, significantly boosting user retention.
- Designed and deployed a scalable SaaS web application delivering AI-powered mock interviews for job aspirants.
- Integrated Vapi AI for real-time, voice-based interviews and utilized AWS S3 for secure resume uploads, enhancing both interaction quality and data handling.
- Implemented AI-powered video integrity checks using TensorFlow.js and BlazeFace for live face detection,emotion analysis, and frame-by-frame video tracking
- Implemented user profile customization to support personalized assessments, increasing user retention by 60%.
Smart Farming Assistant – Crop Recommender
Python, Flask, scikit-learn, Next.js | Dec'24
Created an intelligent crop recommender system, offering farmers data-driven insights for optimal planting. The system features a robust Flask API for real-time predictions and a user-friendly Next.js frontend, enhancing agricultural productivity.
- Implemented a secure crop recommender system using decision trees trained on live farm data.
- Built and deployed a Flask API with input validation and weather integration for real-time predictions.
- Designed a responsive Next.js frontend for farmers to receive dynamic and personalized suggestions.
DynamiCache – Hybrid Cache System
C++, Threading, LFU, LRU, Multi-Level Queues | Mar'25
Engineered a high-performance, dynamically adaptive caching solution that intelligently switches between LFU and LRU policies. This system offers exceptional scalability and low-latency operation through efficient threading and optimized data access management.
- Developed a high-performance caching system with dynamic switching between LFU and LRU caching policies, optimizing performance based on real-time data access patterns.
- Ensured high scalability and robustness of the system by designing it to handle fluctuating workloads and large-scale data demands without performance degradation.
- Leveraged threading to asynchronously manage cache operations, enabling low-latency updates and cache reconfiguration without blocking user requests.
Technical Skills & Coursework
Languages
Technologies/Frameworks
Systems & Concepts
Coursework
Certifications
Extracurricular
Data Structures & Algorithms
Solved 150+ problems across LeetCode and GFG. Strong in graphs, trees, DP, and system design patterns.
Student Teacher – Yuva Bengaluru Trust, Bengaluru, India
Delivered offline technical and soft-skills training to 300+ students through workshops, curriculum design, and mentoring.