Ameen
Chougle.
Computer Engineering student building reliable systems across hardware and software boundaries — from embedded C on STM32 to digital signal processing on Arm platforms.
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Professional Summary
Strong foundation in software development, embedded systems, and problem-solving — programming in C, C++, and Java to develop reliable systems across hardware and software boundaries. Hands-on with microcontrollers, Embedded C, debugging, and system-level testing, backed by a solid grasp of data structures, algorithms, and performance trade-offs. Collaborative, detail-oriented, and motivated to contribute to technically rigorous engineering teams building scalable, efficient systems.
Academic Record
| Institution | University of Texas at Dallas |
| Degree | Bachelor of Science, Computer Engineering — GPA 3.81 |
| Graduation | May 2027 |
| Coursework | Digital Circuits · Digital Systems · Signals and Systems · Electrical Network Analysis · Embedded Systems · Computer Architecture · Electronic Circuits · Electronic Devices |
Component Reference
IEEE Robotics — Electrical Team Member
- Programmed an STM32F411CEU6 microcontroller in Embedded C to control sensors, actuators, and peripheral interfaces.
- Developed firmware for time-of-flight sensors, standard servos, and analog servos with real-time control and signal handling.
- Performed soldering, hardware bring-up, and debugging to validate electrical and software operation.
- Contributed to an accessory PCB, coordinating hardware requirements with embedded software needs.
Optimize Drive — To Be Patented
- Designed and prototyped an embedded system integrating microcontrollers and sensors for reliable data acquisition.
- Implemented ADC-based data collection and processing logic in Embedded C, validating timing, accuracy, and robustness.
- Debugged hardware–software interactions and iteratively improved system performance through structured testing.
- Documented system architecture, software behavior, and testing results for design reviews.
Dallas Formula Racing SAE
- Assigned to the Data Acquisition subteam and tasked with designing a linear potentiometer sensor for the car's suspension system, to measure suspension travel for the car's data acquisition pipeline.
- Worked from the team's existing suspension sensor signal-chain design — an anti-aliasing filter and FIR digital filter running on an STM32, sampling through a sigma-delta ADC and outputting over CAN — to define the sensor's electrical requirements.
- Since the car's overall design was largely finalized for the season, full integration wasn't feasible this cycle, so the sensor was scoped for next year's chassis instead.
- Implementation is planned for next year's car and hasn't been carried out yet, making this year's contribution primarily design and specification work.
Credentials
Digital Signal Processing Certification
- Implemented FIR, IIR, and FFT-based DSP algorithms on Arm-based platforms for real-time processing.
- Analyzed sampling, reconstruction, aliasing, and frequency-domain behavior mathematically and experimentally.
- Evaluated latency, noise sensitivity, and power efficiency trade-offs to support system-level decisions.
Toolchain
Experience
Handshake AI
- Designed and built analog circuit simulations in LTSpice and Qucs-S, ranging from basic passive networks to more complex active circuits.
- Executed simulation runs to verify circuit behavior against expected outcomes, checking for correctness before tasks were submitted or finalized.
My Tutoring Spot
- Explained technical and mathematical concepts clearly, strengthening communication skills essential for collaborative engineering teams.
- Structured problem-solving approaches and validated solutions, reinforcing analytical rigor and attention to detail.
Let's build something reliable.
Open to embedded software, firmware, and hardware-adjacent engineering roles. Reach out directly or connect on LinkedIn.