Headline

Final-Year AI/ML Engineer | Healthcare AI · Emotion Recognition · EEG Signal Processing | Open to Entry-Level ML Roles

About

My name is Pranesh, and I'm a final-year AI and ML student from Chennai. I really enjoy making things that seem alive. It all began with curiosity. I wanted to know if a machine could figure out how someone feels by looking at their face, brain signals, and patterns, not just what they say. That curiosity led to NeuroGuard, a system that uses EEG analysis and facial emotion recognition to find mental health problems in real time. It felt like something clicked when I saw it work with 93.1% accuracy. I haven't stopped building since then:🧠 A fatigue detector that reads EEG signals and lets you know when your brain is out of energy🎵 A music recommender that can tell how you feel by looking at your face and plays the right song before you even know what you want.IoT firmware at EVIQtech taught me how to write code that won't fail in the field. I really care about AI that helps people, not just scores on a leaderboard. Right now, I'm looking for my first full-time job as an AI or ML engineer. I'd love to be a part of something important in healthcare AI, computer vision, or intelligent systems. 📩 pbalu121171@gmail.com—I'm always happy to talk.

Location

Chennai

Work experience

Development Intern at Innovative Technology Ltd, Dec 2023 - Jan 2024 · 2 mos, Technology company specializing in software development and innovative solutions. Successfully completed a Full-Stack Development Internship, gaining foundational knowledge of back-end development alongside hands-on experience in front-end technologies. Designed and developed the front-end of a website using Html, Css, and JavaScript, ensuring responsive and user-friendly interfaces. Collaborated with mentors and team members to understand full-stack workflows and project integration. Delivered the front-end component of the project on time, meeting all design and functionality requirements.

Data Science Intern at Verzeo, Nov 2022 - Dec 2022 · 2 mos, Data Science company focusing on innovative solutions and projects. Developed a prediction model for the project Heart-Attack prediction using Python and libraries such as Pandas, NumPy, and Scikit-learn, achieving a high prediction accuracy. Analyzed large datasets to identify trends and patterns, providing actionable insights. Collaborated with a team to optimize algorithms, improving performance efficiency. Documented project findings and presented them to mentors, receiving positive feedback for technical depth and clarity.

Education

Bachelor of Technology - BTech, Artificial intelligence and machine learning, Vels University