Khalid Sadiq

Khalid Sadiq Email and Phone Number

Senior AI Engineer @ Nexrupt Technologies
Islamabad, PK
Khalid Sadiq's Location
Islāmābād, Pakistan, Pakistan
About Khalid Sadiq

My areas of interest are Computer Vision, NLP and Data Science with more than 5 years of experience in developing customer-centric solutions from prototype to production. Worked with computer vision and AI for healthcare, retail and helping. Moreover, I have more than 2 years of international teaching experience in AI field at Poland and Estonia.The type of projects I would love to get my hands in computer vision are documents OCR, video analytics, object detection & recognition, all types of classification, 3D pose estimation and real time sign language translation (PSL/ASL). Although Computer Vision is my passion but NLP also excites me. I'm experienced in different flavors of transformers like BERT, BART, T5, GPT-3 and Chat-GPT. Trained many transformers based large NLP models on DGX machines. Lead NLP a product with a team of 4-5 people. Also developed a chatbot using Rasa framework for handling patients quries. I am a young and energetic explorer having huge passion and devotion for productive innovation, possessing good communication, trustworthiness, teamwork and leadership skills, having strong belief in professional ethics and keeping an ultimate vision of contributing to the betterment of the whole of mankind.

Khalid Sadiq's Current Company Details
Nexrupt Technologies

Nexrupt Technologies

View
Senior AI Engineer
Islamabad, PK
Website:
nexrupt.com
Employees:
10
Khalid Sadiq Work Experience Details
  • Nexrupt Technologies
    Senior Ai Engineer
    Nexrupt Technologies
    Islamabad, Pk
  • Software Development Academy
    Tutor
    Software Development Academy Sep 2022 - Present
    Poland
    - Teaching Data Science Courses.- Segmentation (background removal) and Classification(tags) of clothes for more than 300 classes for ecommerce brands.
  • At Tech
    Machine Learning Engineer
    At Tech Sep 2022 - Feb 2023
    Islāmābād, Pakistan
    - Chatbot (patients and doctor queries)Developed a chatbot using Rasa framework for handling patients and doctors queries for the national health system (NHS) of London for their medical app Dr.IQ- Single Sing On ( SSO )Also worked in a python team who developed SSO project for At-Tech medical products. SSO is basically to sign in once and then easily switch from one product to others without the need to enter credentials for each product. It is exactly the same concept as Google uses for its multiple products like Gmail, Drive, Docs, sheets etc.
  • Innovative Solutions
    Ai Engineer
    Innovative Solutions Dec 2021 - Sep 2022
    Islāmābād, Pakistan
    Lead “News Revealer” project which has a web portal and mobile app for authentication of news articles and generating news in its own wording by keeping the context and meaning of input articles same which is called paraphrasing and managed team of 5 people. 1. Crawler / Scraper for downloading Common Crawl data (news data)2. ETL on Common Crawl news data [ De-duplication(MongoDB), Filtering (Bert and Cosine), Community Detection (sister articles)]3. Trained a large NLP transformers based model on a huge amount of Common Crawl Data for re- writing a news article. Built data pipeline with generators (yield) and training pipeline from scratch in tensor-flow. 4. Deployed models on Triton Server after optimization5. RnD on Hugging-Face models and Nvidia Megatron-LM6. Collaboration with Pulses.AI and Blend360
  • Visionx
    Computer Vision Engineer
    Visionx Jan 2020 - Dec 2021
    Islamabad
    - Successfully delivered McDonalds CV based use cases live and past actionable insights for Curbside, Drive-Thru, Dine-In/Take-Out, KIOSK and POS. - Worked extensively on video analytics. R&D of cutting edge algorithms of Computer Vision like face detection, face recognition, face/full-body demographics (gender&age), face emotions, people counting in crowds, object detecting and tracking, pose estimation etc.- Deployment (ML-Ops) of scale-able deep learning modules on clouds(AWS Sage-Maker) for real time business insights by processing CCTV videos.- Worked on Post-COVID19 use-cases like real time alerts of face mask detection, social distancing in public places, glove detection, detection of Corona patients using thermal cameras etc.- Managed data labeling team of 3 people. RnD for labeling tool. [Label-me, Data-Turks, Semi-supervised tools]
  • Mtbc
    Data Scientist
    Mtbc Oct 2019 - Jan 2020
    - TalkCheck-in Application ( lead role)This application is being used by all internal medicine patients in the US to automatically generate HPI(History of presenting illness) based on symptoms for patients & doctors. Extended it to other specialties like Psychiatry, family medicine, etc. - Domain training and Teaching Provided domain training for U.S health system and taught ML/DL major topics to newly hired members in the data science team. Motivating and Inspiring members so that they can reach their maximum potential level. Also creating a collaborative work environment among the team by helping them out in difficult stages of their work and making them trustworthy.
  • Mtbc
    Jr. Data Scientist
    Mtbc Jun 2018 - Oct 2019
    - Document Classification Automatic segregation of multiple types of scanned documents (Superbill, EOB, Demographics, Insurance Cards, Referrals, Face Sheet, etc. ). Transfer learning & FineTuning of all Imagenet pre- trained models (Vgg16, Inception-v3, ResNet-50, SeNet, NasNet). Finally developed a customized CNN model (TensorFlow, Keras, Pytorch)- Localization of ICD&CPT CodesTarget was to localize ICD&CPT Codes encircled or ticked by the providers on SuperBills. Synthetic data generation to cover all types of variation and used pre-trained object detection models( Yolo-v2, RCNN, Fast-RCNN, etc. )- OCR of multiple types of text imagesPerformed OCR (Pytesser-act & Google Vision API) on Superbills & EOB documents and also developed OCR APIs for Insurance and CNIC card data extraction. - Version Controlling for Data Science team on TFS using PyCharm.- Documents Similarity Unsupervised learning method to identify the similar types of documents using documents embeddings from CNN models.- Made a customized labeling tool in python for efficient labeling of different types of documents.
  • Reveal Lab
    Research Intern
    Reveal Lab Jun 2017 - Jul 2017
    Fast-Nuces, Islamabad
    - Worked on a Face Recognition application and developed a docker service.

Khalid Sadiq Skills

Decision Making Machine Learning Deep Learning Data Mining Artificial Intelligence Research Programming Data Visualization Computer Science Python C++ C# Tensorflow Pandas Keras Scikit Learn

Khalid Sadiq Education Details

Frequently Asked Questions about Khalid Sadiq

What company does Khalid Sadiq work for?

Khalid Sadiq works for Nexrupt Technologies

What is Khalid Sadiq's role at the current company?

Khalid Sadiq's current role is Senior AI Engineer.

What schools did Khalid Sadiq attend?

Khalid Sadiq attended National University Of Computer And Emerging Sciences, Government Post Gradute College Dera Nawab Sahb, Al Noor High Secondary School.

What skills is Khalid Sadiq known for?

Khalid Sadiq has skills like Decision Making, Machine Learning, Deep Learning, Data Mining, Artificial Intelligence, Research, Programming, Data Visualization, Computer Science, Python, C++, C#.

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