About
I’m building at the intersection of AI and engineering—turning data, signals, and real-world systems into intelligent solutions using Machine Learning and Deep Learning. As a B.Tech Electronics and Communication Engineering (ECE) student specializing in Artificial Intelligence & Machine Learning, I am passionate about building intelligent solutions that connect AI with real-world engineering problems. My core interests include Machine Learning, Deep Learning, Computer Vision, Embedded AI, IoT, and Signal Processing. I enjoy taking solutions from data preprocessing and feature engineering to model development, evaluation, and practical implementation. Through hands-on projects, I’ve worked with Python, TensorFlow, Scikit-learn, MATLAB, CNNs, LSTM, Random Forest, Digital Signal Processing, and Embedded Systems. My projects include an AI-Powered Smart Energy Meter, using LSTM-based time-series forecasting and Isolation Forest anomaly detection; a Real-Time Speech Emotion Recognition System, using Random Forest and MFCC-based audio feature extraction; and a CNN-based Plant Disease Detection System, applying Deep Learning and Computer Vision for image classification. My ECE foundation gives me a distinctive interest in applying AI beyond conventional software—particularly in Embedded AI, Edge AI, intelligent devices, IoT, signal-based systems, and next-generation communication technologies. I’m continuously strengthening my expertise in Artificial Intelligence, Machine Learning, Deep Learning, algorithms, and intelligent engineering systems, and I’m interested in opportunities as an AI/ML Intern, Machine Learning Intern, or AI Engineer Intern where I can contribute to real-world intelligent systems while developing industry-level expertise.
Work experience
Digital Electronics & VLSI Design Intern at Codec Technologies India, Jun 2025 - Jul 2025 · 2 mos, • Gained hands-on experience in Digital Electronics and VLSI Design, applying core ECE concepts to circuit design, analysis, and simulation. • Designed and analyzed digital and CMOS-based circuits, strengthening practical understanding of logic design, semiconductor devices, and VLSI design fundamentals. • Worked with circuit design and simulation workflows to evaluate circuit functionality, troubleshoot design issues, and understand performance characteristics. • Strengthened skills in Digital Electronics, VLSI, CMOS, Circuit Design, and engineering problem-solving through practical assignments and project-based learning. • Received a Letter of Recommendation (LOR) in recognition of performance and successful completion of the internship.
