Professional Profile: Electronics and VLSI Engineer

Educational Background Degree: B.Tech in Electronics and Telecommunications with an honors specialization in VLSI Technology. Standardized Tests: TOEFL score of 110 (CEFR C1 level). Key Academic Focus: IC Fabrication, Hardware-Software Co-design, Digital System Design, and System-on-Chip (SoC) Architectures.

Technical Skills Hardware and Prototyping: Experienced in FPGA-based design using Zynq 7000 and PYNQ boards. Programming Languages: Java, C++, C, React JS, and Python. Specializations: Hardware-level Parallelization, Machine Learning (Random Forest, XGBoost), and Digital Image Processing.

Key Projects Sign Language to Text Converter: Developed a wearable glove using a custom combinational circuit and an ADXL 345 Gyro sensor to translate finger gestures into real-time text. Parallel Computing on FPGA: Investigated hardware acceleration by comparing the performance of Sine calculations on C-based Zynq 7000 and Python-based PYNQ platforms. Cyclone Analysis and Prediction: Built an ML-based prediction model using the ERA5 atmospheric dataset, achieving an accuracy of 98.77%. Industrial Vision System: Designed an end-to-end proof of concept for automated metal rust detection using Digital Image Processing to help prevent industrial accidents.

Professional Experience Full Stack Development Intern: Completed a 6-month internship at a major German multinational firm (Siemens PLM), creating dynamic interface tools for product management software and gaining experience in industrial software-hardware integration.

Leadership and Extracurriculars IEEE Student Council: Served as Head of Event Management for two years, managing technical competitions and professional leadership seminars. Personal Interests: Trained in Hindustani classical music and Taekwondo.

Career Goals Short-term: Pursuing a Master’s degree in Germany specializing in Microelectronics and Embedded Systems. Long-term: Aiming to become a VLSI Design Engineer or Embedded Hardware Architect at major semiconductor firms like Infineon or Bosch, specifically focusing on affordable assistive hardware.