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Muhammad Anas Tahir

NUST · 2021
Email
m.anastahir3@gmail.com
Phone
LinkedIn
https://www.linkedin.com/in/m-anas-tahir/
GitHub

Academic

Program
BSCS
CGPA
Year
2021
Education
SEECS
Address
Islamabad
DOB

Career

Current role
Hayyan Systems
Target role
Skills
Computer Science, Machine Learning, Deep Learning, Data Science, Research, Google Cloud development, Amazon Web Services, Python, C++, Java development, Problem Solving, Solution designing
Interests / quote
Work with highly motivated and innovative individuals to foster my technical and entrepreneurial skills.

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Muhammad Anas Tahir
Email ID: m.anastahir3@gmail.com
LinkedIn ID: https://www.linkedin.com/in/m-anas-tahir/
Work with highly motivated and innovative individuals to foster my technical and entrepreneurial 
skills.
2021
BSCS
National University of Science and Technology
Lahore Grammar School
2017
A levels
2015
O levels
Lahore Grammar School
DeeIDee
Sep, 2020 Present
1) Developed the model for the prototype of the Face De-Identification 
application.
2) Migrated the existing code base from Google collaboratory to Google Cloud 
platform
3) Optimized the training algorithm and reduced the training time by more than
Mar, 2021
Hayyan Systems
Present
1) Implementing the state of the art models for X-Ray diagnostics
2) Designing the system architecture for the app
3) Working on the interpretaility of machine learning models for different medical
 use cases
Computer Science
Machine Learning, Deep Learning, Data Science, Research
Google Cloud development, Amazon Web Services 
Computer Science
Computer Science
Python, C++, Java development
Problem Solving, Solution designing
Computer Science
1) Short-Term Load Forecasting:
I reproduced the results from the paper Short-Term Residential Load 
Forecasting Based on LSTM Recurrent Neural Network. It involved cleaning and 
formatting a large time series data dataset and implementing multi-layer LSTM 
network using Tensorflow framework.
2)Image Inpainting:
Watching documentaries
Doing coding projects
Reading the AI research papers
GYM
Football
Gold medalist A levels
Scholarship SEECS NUST
ACM Hackathon

AI enrichment

Muhammad Anas Tahir is a Computer Science graduate from NUST with professional experience in machine learning and deep learning applications. His background includes developing face de-identification models and implementing state-of-the-art X-ray diagnostic systems at DeeIDee and Hayyan Systems.
Skills (AI)
["Machine Learning", "Deep Learning", "Python", "TensorFlow", "Google Cloud Platform", "AWS", "C++", "Java", "LSTM", "Image Inpainting", "System Architecture Design"]
Status: ai_done
Provenance
Source file: graduate-booklet-BSCS-2021.pdf
From job #256 page 28
Created: 1778165534