Hey, I'm Mishal Sagar.

I'm an electrical engineering senior at LUMS in Lahore, and I work where AI meets hardware. I care about making intelligence run on small, efficient devices: compressing models, designing digital systems, and building AI for hardware. So far I've designed a spiking neural network in 65nm analog circuitry, built wearable and embedded devices, put a perception pipeline on a robot, and TA'd four courses across circuits, electromagnetics and probability. I'm also Vice Chair of the IEEE LUMS Student Chapter.

View Resume

What I work on

Hardware & AI projects

Chips, circuits, embedded systems and robots, built from the transistor up.

Spiking Neural Network on a 65nm Analog Chip

SPICE · Neuromorphic Design

A spiking neural network built from integrate-and-fire neurons, designed entirely in custom transistor-level circuitry.

  • Designed every neuron cell in custom NMOS/PMOS analog circuitry at the 65nm process, without standard CMOS digital logic blocks.
  • Built programmable synaptic weight elements and the inter-neuron interconnect.
  • Analyzed area coverage and spike-timing dynamics through SPICE-level simulation.

Wearable Gestural Input Interface

Tiva C · UART · HID · Embedded C

A glove that turns finger orientation into real-time keyboard input.

  • Built around a Tiva C microcontroller that reads finger orientations and maps them to keystrokes.
  • Configured the glove as a Human-Interface Device (HID) over UART serial communication for plug-and-play PC use.

Socially Aware Navigation on RoboMaster EP Core

YOLOv8n · DWA · Python

A robot that sees the people around it and plans its path politely.

  • Detected and tracked nearby pedestrians in real time with YOLOv8n-pose.
  • Integrated the Dynamic Window Approach (DWA) for socially aware motion planning.
  • Deployed the full perception-to-planning pipeline on the RoboMaster EP Core platform.

Analog PPG Heart Rate Monitor

Op-Amps · BJTs · Active Filters · PCB Design

A heart rate monitor built with analog signal conditioning, from sensor to PCB.

  • Used IR-reflective photoplethysmography (PPG) to detect small volumetric changes in blood flow.
  • Built the conditioning and amplification chain with op-amps, BJTs and active filters.
  • Tuned component selection and PCB layout for signal integrity and ambient light and noise rejection.

Leadership

Vice Chair

Jun 2026 - Present

IEEE LUMS Student Chapter · Lahore, Pakistan

  • Set the chapter's strategic direction with the Chair and coordinate directors and committees.
  • Run technical workshops, talks and professional development events for members.
  • Manage operations, budgets, and industry and faculty outreach, and mentor members.

TA-ships

Teaching Assistant at LUMS, Lahore.

Education

BS Electrical Engineering

Aug 2023 - May 2027

Lahore University of Management Sciences (LUMS)

CGPA 3.8 / 4.0

O & A Levels

Aug 2018 - Jun 2023

Lahore Grammar School

Awards

Dean's Honor List

2023 - 2026

LUMS. Awarded every year of my degree so far.

Skills

Languages & Tools
Python, C/C++, SystemVerilog, MATLAB, Embedded C, ROS
Hardware & EDA
Vivado, Questa, SPICE, PCB Design, Digital System Design, 65nm Process Design
Areas
Edge AI, Machine Learning, Analog IC Design, Embedded Systems, IoT, Robotics
Design & Media
Adobe Creative Suite, Canva, Motion Design, Graphic Design

Get in touch

Working on edge AI, hardware or something adjacent? Send me a note and it lands straight in my inbox.