Awais Ahmed

Academic

Career

Verbatim text

Awais Ahmed
Cell: 923033963186 
Email: awaisjatoi678@gmail.com 
Address: HOUSE NO: D-10
HYDERABAD TOWN PHASE-1
QASIMABADHYDERABAD SINDH 
Hyderabad , Pakistan
Cisco packet tracer
Networking tools (wireshark)
Arm, avr, arduino, atmel
Canva
Python & c languages
Matlab
Simulink
Figma
Communication skills
Microsoft word, excel, project
Communication and presentation
Project and team management
To be furnished upon request.
Professional Profile
As a Final Year Electrical Engineering Student at SEECS NUST, my goal is to use the
knowledege of Electrical Engineering to solve the real world relating to my area of study.
Education
BE Electrical Engineering 
School of Electrical Engineering and Computer Science , 3.07 
Matric / O levels 
, (2019) 
Intermediate / A levels 
, (2021) 
Intermediate Degree 
Public School and College , 979 (2021) 
Bachelor’s of Electrical Engineering 
NUST , 3.14 (2021) 
Internship Experience
CodeAlpha ( 01-Aug-2024 - 30-Aug-2024 ) 
I worked as Machine Learning Intern. Implemented the classification algorithms and
assessed their accuracy. • Developed a credit scoring model to predict the
creditworthiness of individuals based on historical financial data, and a model to predict
the likelihood of a disease based on medical data such as
Projects
IOT based smart home automation system with Arduino 
• Developed a home automation system, used to remotely control and monitor all home appliances
through mobile apps, enhancing security and energy efficiency.
Bandpass Sampling of High-Frequency Signals using MATLAB 
• Implemented bandpass sampling techniques in MATLAB to effectively capture and process high-
frequency signals, enhancing signal analysis and reconstruction.
Hybrid Power System based on Solar and Wind using Simulink 
• Designed and Implemented hybrid power system that combines wind and solar energy to optimize
electricity generation, improve reliability, cut down on carbon emissions and moving towards green energy
IoT-Based Smart Temperature-Controlled Fan System Using Arduino 
• This project aimed to build an IoT-based smart fan system using Arduino that automatically adjusts
fan speed based on temperature readings, allowing users to monitor and control their environment
remotely.
Projects
Adaptive questioning using Multimodal Response and Behavioral
Analysis(Ongoing) 
• Developing an LLM-driven adaptive questioning system using multimodal behavioral and verbal analysis. • Implementing micro-expression detection, CNN-based deception evaluation, and verbal tone analysis. • Utilizing a RAG-based LangChain LLM to generate context-aware follow-up questions. • Designed for in
Car Parking Management System using Object Tracking 
• Developed an intelligent parking management system using YOLOv8 for real-time vehicle detection and tracking. • Optimized object detection algorithms to enhance accuracy and efficiency in dynamic parking environments. • Designed the system to automate parking space monitoring, reducing manual effort and i
Credit Card Fraud Detection Using XGBoost 
• Developed an XGBoost-based machine learning model to detect fraudulent transactions with high accuracy. • Analyzed a dataset with 31 features, optimizing feature selection and model hyperparameters for improved performance.
Sound Localization on Raspberry Pi 4 
• Implemented Time Difference of Arrival (TDOA) method with multi-threading on Raspberry Pi 4 for real-time sound localization using multiple USB microphones. • Developed a real-time audio processing pipeline with Python, PyAudio, and Matplotlib, transitioning from simulation to a functional hardware setup.

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