Omair Siddique
NUST
· 2025
Email
omairsiddiquer@gmail.com
Phone
923325137454
LinkedIn
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GitHub
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Academic
Program
BE Electrical Engineering
CGPA
3.52
Year
2025
Education
School of Electrical Engineering and Computer Science
Address
Islamabad , Pakistan
DOB
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Career
Current role
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Target role
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Skills
Cuda, Microcontrollers avr, pic, stm, Convolutional neural networks, Recurrent neural networks, Freertos, mbed rtos, Computer architecture, Tensorflow, scikit-learn, Stm32/arm, GenAI, LLMs, DSL, Deep Learning, RNNs, LSTMs, Transformer Foundations, Prompt Engineering, NLP, BERT, T5, GPT, STM32 CubeIDE, PID control, IMU sensor, stepper motor
Interests / quote
Passionate and driven electrical engineering student specializing in chip design, embedded systems, robotics, and LLMs!
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Omair Siddique Cell: 923325137454 Email: omairsiddiquer@gmail.com Address: CECHS, SOAN GARDENS, H NO. 2, ST. 3, BLOCK F,ISLAMABAD, PAKISTAN. Islamabad , Pakistan Cuda Microcontrollers avr, pic, stm Convolutional neural networks Recurrent neural networks Freertos & mbed rtos Computer architecture Tensorflow, scikit-learn Stm32/arm To be furnished upon request. Professional Profile Passionate and driven electrical engineering student specializing in chip design, embedded systems, robotics, and LLMs! Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.52 Matric / O levels , (2019) Intermediate / A levels , (2021) Internship Experience Skylabs-AI ( 01-Oct-2024 - 13-Mar-2025 ) As a GenAI intern, I have developed AI-driven solutions for the Abstract Reasoning Corpus (ARC) challenge using LLMs, program synthesis, and pattern recognition. More specifically, I designed and optimized DSL-based approaches for grid-based reasoning. Advanced AI Bootcamp on LLMs, SEECS & Skylabs-AI ( 08-Jul-2024 - 30-Aug- 2024 ) - Week 1: Deep Learning Overview (RNNs, LSTMs, Transformer Foundations), Prompt Engineering, and NLP basics - Week 2: Advanced Transformer Model Architectures (BERT, T5, GPT) - Week 3: Crafting and Training Large Language Models - Week 4: Scaling LLMs: Training Techniques and Performance Boosts (Quantiza SEECS ( 10-Jul-2023 - 02-Sep-2023 ) As a lab assistant for embedded systems at SEECS, NUST, I managed a concise, week-long training camp for STM32 microcontroller programming for international students and local industry personnel. While preparing for this, I gained knowledge on how to work with STM32 microcontrollers using STM32 CubeIDE Projects 2-Axis Platform Stabilization Gimbal A stabilization system designed to maintain a steady platform by compensating for unwanted motion across two axes (pitch and roll). Utilizes sensor data acquisition and control algorithms to dynamically adjust orientation, ensuring stability for applications like cameras, sensors, or robotic platforms. Self-Balancing Two-Wheeled Robot I developed a self-balancing two-wheeled robot that uses an IMU sensor to detect tilt and a PID control system to maintain stability. By continuously adjusting stepper motor speeds based on real- time feedback, the robot stays upright and responds to external disturbances. Cool project for a control systems co Fine-tuning an LLM for Code Generation As a capstone project for the 2 months rigorous BootCamp on LLMs, I worked on training an LLM to convert LaTeX expressions into valid Python code. This involved fine-tuning the model on mathematical expressions, ensuring accurate syntax generation, and optimizing for correctness and efficiency. The importance
AI enrichment
Omair Siddique is a BE Electrical Engineering graduate with a 3.52 CGPA, specializing in embedded systems, robotics, and large language models. He has practical experience through internships in GenAI and as a lab assistant, alongside projects involving microcontroller programming and LLM fine-tuning.
Skills (AI)
["CUDA", "Microcontrollers (AVR, PIC, STM32/ARM)", "Convolutional Neural Networks", "Recurrent Neural Networks", "FreeRTOS & mbed RTOS", "Computer Architecture", "TensorFlow", "Scikit-learn", "LLMs", "GenAI", "Program Synthesis", "PID Control", "STM32 CubeIDE"]
Status: ai_done