09/18/2026 updated
100 % available
Python, AI & Electrical Engineer | Automation, Data, Embedded Systems & Software
Dubai, United Arab Emirates
Only remote
Bachelor of Science in Electrical Engineering (in progress), RIT Dubai, CGPA: 3.86 / 4.00About me
Electrical Engineer and technical developer working across Python automation, AI/ML, data, software, embedded systems and electronics. I enjoy solving defined technical problems and delivering practical, well-documented solutions.
GenAILLMGCPData AnalysisWeb ScrapingElectronic Design AutomationElectrical System DesignEmbedded CEmbedded SystemsGitHubPython (Programming Language)Node.jsTypeScriptWeb CrawlersExcel Solver
Python, Automation & Web Scraping
Development of Python automation tools, web scrapers, crawlers and data-processing workflows. Experience with Playwright, REST APIs, Pandas, CSV/Excel processing, pagination, retries, deduplication, validation and structured data extraction. Comfortable automating repetitive business and research workflows and delivering maintainable scripts and datasets.
Software & Web Development
Development and integration experience using Python, TypeScript, JavaScript, React, Node.js and NestJS. Familiar with REST APIs, Firebase/Firestore, Git/GitHub, cloud-based systems and full-stack application workflows.
Artificial Intelligence & Machine Learning
Practical experience developing AI/ML solutions using Python and PyTorch, including convolutional neural networks, image classification, computer vision, NLP, sentiment analysis and AI-assisted applications. Experience taking projects from data preparation and model development through testing and usable application interfaces.
Data Analysis & Business Automation
Data cleaning, transformation, analysis and reporting using Python, Pandas, SQL, Excel and Google Sheets. Experience working with large datasets and building tools that reduce repetitive manual work, consolidate information and produce structured outputs.
Signal Processing & Imaging
Experience with digital signal processing, SAR/radar imagery and image-processing pipelines. Development of workflows for noise analysis, image conditioning and enhancement using Python, OpenCV and machine-learning techniques.
Embedded Systems & Control
Hands-on experience with embedded systems, microcontrollers, sensor/actuator integration, PID control, motor-control systems and hardware/software interfacing. MATLAB and Simulink experience for modelling, simulation and control-system development.
FPGA & Digital Hardware
FPGA design using Verilog and VHDL, including implementation of digital systems and hardware accelerators. Experience with Quartus and DE10-Nano FPGA platforms, including an AES encryption/decryption accelerator.
Electrical, Electronics & RF Engineering
Electrical and electronic system design, circuit analysis, simulation and prototyping. Experience with RF/microwave engineering, microstrip antenna design and fabrication, CST Studio Suite, KiCad and PSpice.
Cloud, APIs & Development Tools
Experience with Google Cloud Platform, Firebase/Firestore, Git, GitHub, REST APIs, Google Apps Script, Streamlit and modern development workflows. Comfortable integrating external services and APIs into automated systems.
Technical Research & Engineering Projects
Able to take on defined technical research, prototyping, proof-of-concept, troubleshooting and engineering tasks across software, AI, data and electrical engineering. Comfortable learning unfamiliar systems quickly and producing documented technical deliverables.
Experience
Professional experience0 - 5 years
Freelancer since2022
Languages
EnglishFluentHindiGood
Project history
Analyzed engineering activities related to space-based sensing and maritime surveillance systems, with exposure to electrical engineering, signal processing, and SAR-focused workflows. Assisted with technical research, data analysis, documentation, and structured reporting while collaborating remotely on ongoing engineering problem-solving. Worked on SAR-based data pipelines and contributed to AI-driven image processing workflows.
Built a reproducible SAR Stage-1 conditioning pipeline for maritime surveillance, improving radar image usability through denoising, normalization, contrast enhancement, and detector-ready preprocessing. Evaluated raw vs. conditioned SAR imagery using controlled experiments, PSNR/SSIM metrics, and downstream ship-detection performance comparisons.
Engaged prospective students through personalized outreach, event representation, and admissions guidance, boosting interest and visibility for the university.