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(193 reviews)

Sajjad T.

@sajjadtaghvaeifr

4.8

193

8.2

89%

PhD in Mechanical Engineering AI/simulink

$50 USD / Hour

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United Arab Emirates (11:11 AM)

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Joined on September 8, 2018

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37 Recommendations

$50 USD / Hour

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I have phd in mechanical engineering from department of bioengineering and robotics from Tohoku university and I lead a team of expert engineering with the following skills: ***** AI Engineering ***** Machine Learning Models ETL / ELT Pipelines MLOps Hyperparametrs Tuning Fine Tuning GenAI Prompt Engineering Hugging Face ***** Data Engineering ***** CI&CD Kubernetflow Redis Vector Database Hadoop ecosystem GCP (Dataflow, BigQuery) Containerization (Docker) ***** Mechanical Engineering***** Solidworks Ansys Mechanical design Inventor Autocad Machine design Matlab Simulink Vibration Control Stress analysis ***** Electrical Engineering ***** Signal processing Image processing Power electronic Power transmission lines Kalman filters Electronics Conrol systems Identification ***** Computer engineering ***** Programming with python, Java, cpp, etc. Neural networks deep learning convolutional neural network artificial intelligence object detection web design and development iOS and Android apps

Verifications

On time

90%

On budget

89%

Accept rate

72%

Repeat hire rate

14%

See all Matlab and Mathematica Engineers in United Arab Emirates

Portfolio

This workflow is a compact data‑scraping and automation pipeline built in n8n: when the workflow is executed, one branch sends a request to Firecrawl to scrape structured content from a target webpage, then passes that cleaned text to an LLM message node for summarization or analysis before sending the result through Gmail authentication as an email. At the same time, a second branch downloads an Excel file from Google Drive using Drive authentication, reads it with the Excel extractor, evaluates conditions inside the sheet, and—if the data meets your criteria—also triggers a Gmail message; otherwise it stops cleanly. Together, these two paths show how n8n can combine web scraping, AI processing, cloud‑file access, and conditional logic into a single automated workflow that reacts to both online content and spreadsheet data.This workflow is a compact data‑scraping and automation pipeline built in n8n: when the workflow is executed, one branch sends a request to Firecrawl to scrape stru

n8n data scraping

13808393

This professional Streamlit-based speech recognition application leverages the Qwen3-ASR-1.7B model to provide secure, GPU-accelerated audio transcription with an intuitive web interface. The application features a complete authentication system with username/password login, supports both MP3 and WAV audio formats, and offers customizable transcription parameters ranging from 128 to 8192 tokens to accommodate various audio lengths. Users can upload audio files through a beautiful gradient-themed interface with glassmorphism effects, preview their audio before processing, and receive comprehensive results including auto-detected language, justified text formatting, word and character counts, and processing metrics. The sidebar provides detailed information about the Qwen3-ASR model's capabilities and limitations, while offering real-time configuration options and estimated output lengths. Results can be downloaded as plain text transcripts or detailed reports with metadata, making it id

ASR & STS

This repository belongs to the process of detecting the emotion in variety of languages such as Arabic, English and etc. Two versions of the Small Linguistic Models (SLM) such as phi 3 and GLM 4.7 are used as he backbone for feature extraction and finally the MLP with multi gated layers were used for the final classification

Sentiment anlysis

This project provides a complete, user‑friendly License Plate Detection and Recognition System built with Streamlit. It integrates YOLO‑based object detection models for accurate license‑plate localization and supports multiple OCR backends, including GLM‑OCR and Qwen2.5‑VL, to extract text from detected plates with high precision. The application allows users to upload images or videos, automatically detect plates, perform OCR, visualize results, and download processed outputs. It is designed to run efficiently on both CPU and GPU, with automatic device selection and optimized inference pipelines for real‑time or near‑real‑time performance.

Automatic-Number-Plate-Recognition

This Streamlit app lets you enter lyrics, style tags, CFG scale, and sampler settings, sends them to a ComfyUI workflow to generate music, and then displays the resulting audio in a styled interface with a custom background and output box.

Music Generation

13556877

This project provides a streamlined integration between ComfyUI and Gradio to create an elegant web-based interface for image manipulation.
The included Python script wraps the ComfyUI pipeline in a modern, user‑friendly Gradio front‑end enabling you to control prompt text, sampling steps, CFG scale, and image inputs directly from your browser.

Image Manipulation Application

n8n data scraping

13808393

ASR & STS

Sentiment anlysis

Automatic-Number-Plate-Recognition

Music Generation

13556877

Image Manipulation Application

4.8 · 193 Reviews

193 Reviews

Milestone for Powerpoints

Sajjad has very good knowledge and delivered the project on-time. We will have a new collaboration in the future.

Engineering

Matlab and Mathematica

Mechanical Engineering

Machine Learning (ML)

Mathematics

+1 more

Deep Learning Segmentation

Sajjad delivered the project requirements with high quality. I am happy with his work and would be willing to work with him again in the future.

Engineering

Matlab and Mathematica

Mechanical Engineering

Machine Learning (ML)

Mathematics

+1 more

EMV Power Side-Channel Analysis (archived)

The freelancer was very helpful in making us understand the requirements of the project for ML Training. He agreed to finish the task on time and waited patiently for us to provide the Datasets to him for training. Unfortunately the freelancer became ill to continue with the project and we had to close the contract. I highly recommend for ML Tasks to anyone....

Improving the model (archived)

The project is not completed according to the dispute

Automation in solid work

The project is not completed according to the dispute

Engineering

Matlab and Mathematica

Mechanical Engineering

Machine Learning (ML)

Mathematics

+1 more

CEO

Jan, 2021 - Present

•

5 years, 4 months

AvidMech

Jan, 2021 - Present

•

5 years, 4 months

AVIDMech will provide a bridge between Robotic, AI, and Mechanic.

Jan, 2021 - Present

•

5 years, 4 months

Toho University

2009 - 2012

•

3 years

Ph. D.

Japan

2009 - 2012

•

3 years

Detection of Unstable Periodic Orbits and Chaos Control in a Passive Biped Model

Springer

In this investigation, two chaos control algorithms based on linearization of Poincare´ map (OGY method) and artificial neural networks (ANNs) are utilized to control the motion of a passive biped model.

OPTIMAL MOTION PLANNING OF A PLANAR PARALLEL MANIPULATOR WITH KINEMATICALLY REDUNDANT DOF

Transactions of the Canadian Society for Mechanical Engineering

In this paper, an optimal motion planning algorithm and dynamic modeling of a planar kinematically redundant manipulator are considered.

HMM-based state classification of a user with a walking support system using visual PCA features

Taylor and Francis

In this study, we propose a method for real-time visual state classification of a user with a walking support system. The visual features are extracted using principal component analysis and classification is performed by hidden Markov models, both for real-time fall detection (one-class classification) and real-time state recognition (multi-class classification).