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Itz bumblebee

@itzbumblebee

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Electronics engineer blending embedded systems with AI/ML for edge intelligence.

Pakistan

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What I'm looking for

I’m looking for a role where I can build embedded systems and deploy ML/DL models on edge devices—especially for speech and computer vision—using real-time pipelines, model compression, and production-focused engineering.

I’m an Electronics Engineer from UET Taxila, specialized in Simulations, AI, ML, and DL. I work across MATLAB signal processing, Python deep learning (TensorFlow, MediaPipe), and embedded platforms like ESP and Arduino.

With 1 year of professional hands-on experience, I’ve designed and maintained embedded firmware for microcontrollers and microprocessors (including CH32, Arduino, ESP32, Raspberry Pi variants, STM32, and Rockchips). I train, optimize, and deploy ML/DL models to constrained hardware, applying model compression techniques such as quantization, pruning, TensorFlow Lite, ONNX, and RKNN.

Recently, I deployed and optimized Speech-to-Text pipelines (Whisper, Faster-Whisper, Deepgram) with seamless REST API integration, and built ESP32-S3 audio acquisition using I2S MEMS microphones with BLE and Wi-Fi Direct. I’m also active in computer-vision style pipelines (object detection, gesture recognition, sign-language) and earned recognition as a Winner of the 2025 Electronics Department Open House competition.

Experience

Work history, roles, and key accomplishments

Current

Electronics Engineer

Current

Khayal Incotech

Dec 2025 - Present (7 months)

Deployed and optimized speech-to-text pipelines and integrated them with production-ready REST APIs. Built and extended ESP32-S3 audio acquisition and embedded firmware for real-time audio streaming and interactive audio navigation.

Electronics Engineer

MachaDev Engineering

Jul 2025 - Nov 2025 (4 months)

Designed and developed embedded systems and electronic hardware, including firmware testing and maintenance for microcontrollers and microprocessors. Developed real-time device software and deployed machine learning/deep-learning models to edge devices with model optimization for constrained hardware.

Internship

NICAT (National Incubation Center for Agri-Tech)

Aug 2024 - Feb 2025 (6 months)

Developed and optimized an AI-powered weed detection system for precision agriculture, improving crop management efficiency and reducing herbicide usage through targeted application. Implemented model optimization techniques to enable real-time edge deployment and built an OpenCV-based detection system as part of an applied project.

Precision Agriculture Weed Detection OpenCV Optimization Image Processing

Internship

PAC Kamra

Aug 2024 - Aug 2024 (0 months)

Observed and supported predictive maintenance workflows, including datapreprocessing and evaluation of AI-based fault detection models. Documented key performance metrics such as accuracy, precision, and recall.

data preprocessing Predictive Maintenance Fault Detection Model Evaluation Accuracy Precision Recall Machine Learning

Education

Degrees, certifications, and relevant coursework

University of Engineering and Technology, Taxila

Bachelor of Electronics Engineering, Electronics Engineering

2021 - 2025

Activities and societies: Final Year Project: AI-powered Agri-Rover for crop management (autonomous modes, GPS navigation, sensor fusion, >90% crop detection accuracy).

Completed a Bachelor’s in Electronics Engineering. Final year project focused on designing an AI-powered Agri-rover with real-time crop monitoring using OpenCV/TensorFlow and multi-sensor fusion for autonomous GPS navigation.