Majid Iqbal Email & Phone Number
Who is Majid Iqbal? Overview
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Majid Iqbal is listed as Machine Learning Engineer at IKONIC, a company with 205 employees, based in Islāmābād, Pakistan, Pakistan. AeroLeads shows a matched LinkedIn profile for Majid Iqbal.
Majid Iqbal previously worked as Machine Learning Engineer at Revcloud and Machine Learning Engineer at Global Data 365. Majid Iqbal holds Master'S Degree, Data Science, 3.29 from National University Of Computer And Emerging Sciences.
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About Majid Iqbal
Passionate about Research and Development in state-of-the-art technologies in Natural Language Processing (NLP) and Computer Vision, with an equal focus on deploying these models on scale. I enjoy experiments, strive to learn new technologies, and apply my problem-solving skills to real projects. I am able to adapt to changing environments and eager to learn new technologies and concepts. I have 2.5 years of Industry experience and currently, I am working as a Business Intelligence (BI) Developer at Global Data 365. Some of the tools, frameworks, techniques & Network Architectures that I've Hands-on Experience include: TensorFlow, Pytorch, SkLearn, Pandas, Speech-to-Text, Transformers, Object Detection & Localization (YOLO-V7, EfficientDet, SSD MobileNet), OpenCV, Cloud Computing (AWS, Azure), Language Modeling, Sentiment Analysis, Word Level Identification, NLTK, Spacy, Classification, Regression, Forecasting, Big Data Processing, Some of the projects that I have worked on are as follows:PTCL Automatic call Analytics System for Agent Evaluation using ASR, Language Models (KenLM, SRILM, IRSTLM), Speaker Diarizarion and Audio Analysis (Librosa, Silhouette, K-Means), Sentiment Analysis & Word Level Identification using Transformers (DistilBERT), Object Detection with YOLOv7 in PyTorch (Localization, CNN, Classification, OpenCV).Educational Background:Strong computing background with a Master's in Data Science from FAST-NUCES (Islamabad) & Bachelor of Science in Computer Science from Comsats University Islamabad.
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Majid Iqbal work experience
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Machine Learning Engineer
Current- Stable Diffusion is a deep learning model used for Text to Image transformations. We have used this technology to develop an AI Home Remodeling application. This involved leveraging AWS Sagemaker, specifically the.
- Designed and executed an Inference Script to deploy Facebook's SAM model on AWS Sagemaker, facilitating seamless integration of advanced AI capabilities.
- Utilized Facebook's SAM model for Image Segmentation, producing Mask images to enhance visual analysis and processing.
- Applied AWS Rekognition for Object Identification and Localization within images, enhancing the application's capability for automated image analysis.
- Conducted comprehensive Interior and Exterior Home Retouching using Stable Diffusion, optimizing the application's performance and visual output.
- Established a live API endpoint using AWS Lambda and API Gateway to enable real-time interactions with the AI Home Remodeling application.
Machine Learning Engineer
Performed Object Detection in images and videos by identifying and localizing objects using PyTorch, TensorFlow and YOLOv7. Detecting objects by setting the appropriate Confidence and IOU thresholds. Visualizing objects and applying Non-Max Suppression to select most appropriate bounding box. Performing object detection with models such as EfficientDet.
Machine Learning Engineer (Artificial Intelligence And Machine Learning Lab)
- Hands On:
- Automated Speech Recognition in English & Urdu (DeepSpeech, Kaldi, XLSR-Wav2Vec2)
- Sentiment Analysis & Word Level Identification (Transformers, BERT, Ktrain)
- Speaker Diarization and Audio Analysis (Librosa, Silhouette, K-Means)
- Statistical Language Model for Speech Recognition (KenLM, SRILM, IRSTLM)
- Object Detection with YOLOv3 in Keras (Localization, CNN, Classification, OpenCV)
Teacher Assistant Nlp-Nlu (Msds, Phd)
- Guiding students on training ML model and using augmented dataset to reduce the Word Error Rate.
- Developing Urdu Speech Recognition model by fine-tuning Facebook's Wav2Vec2 model.
- Labeling a Custom dataset of around 7.5 hours and further extracting features from audio files.
- Reducing Word Error Rate up to 75% without utilizing a Language Model.
Software Engineer (Machine Learning)
Worked on Machine Learning projects. My goal was to develop a machine learning model after training on various datasets.
It Intern Software Developer
Majid Iqbal education
Master'S Degree, Data Science, 3.29
Bachelor'S Degree, Computer Science
Frequently asked questions about Majid Iqbal
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What company does Majid Iqbal work for?
Majid Iqbal works for IKONIC.
What is Majid Iqbal's role at IKONIC?
Majid Iqbal is listed as Machine Learning Engineer at IKONIC.
Where is Majid Iqbal based?
Majid Iqbal is based in Islāmābād, Pakistan, Pakistan while working with IKONIC.
What companies has Majid Iqbal worked for?
Majid Iqbal has worked for Ikonic, Revcloud, Global Data 365, Fast-Nuces, and Cipher Savvy.
How can I contact Majid Iqbal?
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What schools did Majid Iqbal attend?
Majid Iqbal holds Master'S Degree, Data Science, 3.29 from National University Of Computer And Emerging Sciences.
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