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Minahel Ahsan

NUST · 2026

menahil.ahsan07@gmail.com

Phone

923366600598

https://www.linkedin.com/in/minahel-ahsan7902/

GitHub

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Academic

Program

Electrical Engineering

CGPA

3.16

Year

2026

Education

SEECS

Address

Sialkot, Pakistan

DOB

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Career

Current role

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Target role

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Skills

analog and mixed-signal IC design, digital system design, biomedical signal acquisition, applied machine learning, computer vision, CMOS circuit design, simulation, Cadence Virtuoso, HDL-based digital design, system-level design, project coordination, technical documentation, schematic design, transient/AC/DC analysis, noise analysis, CNNs, MediaPipe Face Mesh pipeline, Haar Cascade, Feature Extraction, Signal and Image-based classification, Diffusion-based Generative Methods, Representation Learning, Performance Optimization Evaluation, PyTorch, TensorFlow/Keras, OpenCV, NumPy, Pandas, Scikit-learn, Matplotlib, Embedded System, Hardware Design, ESP32, Arduino Uno, STM32 Discovery Boards, Embedded C, C++, SystemVerilog, Quartus, STM32CubeIDE, Arduino IDE

Interests / quote

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.

Verbatim text

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Minahel Ahsan
Cell: 923366600598 |  Email: menahil.ahsan07@gmail.com
LinkedIn: https://www.linkedin.com/in/minahel-ahsan7902/
Address: , Sialkot , Pakistan
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

AI enrichment

Minahel Ahsan is an Electrical Engineering undergraduate graduating in 2026 with a focus on analog/mixed-signal IC design and applied machine learning. She has practical experience in CMOS circuit design using Cadence Virtuoso and embedded systems development with platforms like STM32 and ESP32.

Skills (AI)

["Cadence Virtuoso", "CMOS Design", "Analog Front-End Design", "Machine Learning", "Computer Vision", "PyTorch", "TensorFlow", "OpenCV", "Embedded C/C++", "SystemVerilog", "STM32", "ESP32", "Arduino"]

Status: ai_done

Provenance

Source file: SEECS - Electrical Engineering-2026.pdf
From job #259 page 99
Created: 1778168427