Minahel Ahsan

PROFESSIONAL PROFILE Motivated electrical engineering undergraduate with a strong foundation in analog and mixed-signal IC design, digital system design, biomedical signal acquisition, and applied machine learning and computer vision applications. Experienced in CMOS circuit design and simulation using Cadence Virtuoso, with familiarity in HDL-based digital design methodologies and system-level design flows. Additionally, has practical exposure to machine learning and computer vision techniques. Strong in project coordination, technical documentation, and collaborative work in research-driven and industry-oriented environments. EDUCATION Electrical Engineering SEECS , Islamabad , 3.16 (2026) INTERNSHIP EXPERIENCE TechnoSofts 13-Jun-2024 - 13-Jul-2024 Assisted in project planning and execution by coordinating scheduling, resource allocation, and stakeholder communication, ensuring effective collaboration. NUST Chip Design Centre 10-Jun-2025 - 29-Aug-2025 Designed and implemented a 65 nm CMOS OTA in Cadence Virtuoso, performed simulations for functionality, and documented design flow and results. FINAL YEAR PROJECT Analog Front-End for EEG Signal Acquisition in Neurofeedback Therapy Aims to design and implement a low-noise 65 nm CMOS analog front-end (AFE) for EEG signal acquisition, incorporating chopper stabilization, DC offset suppression, and impedance boosting techniques to achieve low-noise, high-fidelity signal acquisition for neurofeedback therapy applications. TECHNICAL EXPERTISE Cadence Virtuoso Experience with schematic design, transient/AC/DC analysis, noise analysis, and performance evaluation AI and Machine Learning -CNNs, MediaPipe Face Mesh pipeline, Haar Cascade, Feature Extraction, Signal and Image-based classification, Diffusion-based Generative Methods and Representation Learning, Performance Optimization Evaluation. -Frameworks & Libraries: PyTorch, TensorFlow/Keras, OpenCV, NumPy, Pandas, Scikit-learn, Matplotli ... Embedded System and Hardware Design -Embedded Platforms & Development Boards ESP32, Arduino Uno, STM32 Discovery Boards -Programming Languages Embedded C / C++, SystemVerilog -EDA, Development & Simulation Tools Quartus, STM32CubeIDE, Arduino IDE

Motivated electrical engineering undergraduate with a strong foundation in analog and mixed-signal IC design, digital system design, biomedical signal acquisition, and applied machine learning and computer vision applications. Experienced in CMOS circuit design and simulation using Cadence Virtuoso, with familiarity in HDL-based digital design methodologies and system-level design flows. Additionally, has practical exposure to machine learning and computer vision techniques. Strong in project coordination, technical documentation, and collaborative work in research-driven and industry-oriented environments.