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Muhammad Hammad Mobin
Karachi, Pakistan
I'm a Graduated student from the National University of Computer and Emerging Sciences (FAST) with a Bachelor of Science in Computer Science (2016-2020). Now I work as a Software Engineer at Trafix LLC (NYSE Option Solution Provider) My research interest is in Computer Vision, Machine learning, and Probabilistic Graphical Models. In which by using probabilistic modeling and statistical learning, we can understand large coupled with the availability of large training datasets, which has led to remarkable progress in computer vision. I did my internship at Deloitte and Jubilee Life Insurance as a Data Analyst in which I used regression models for predictive analytics. I also have an interest in the MLOPS and Reinforcement Learning in finance, especially in financial institutions such as banks, asset management firms, or hedge funds.
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326.5
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HTML
34.9
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SCSS
24.4
exp.
Less
6.7
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JavaScript
41.1
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JSON
43.5
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TypeScript
63.4
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Python
10.7
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Protocol Buffer
10.5
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Jupyter Notebook
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CoffeeScript
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Solidity
4.1
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List your work history, including any contracts or internships
TRAFiX LLC Full-time
Mar 2021 - Oct 2021 (7 months)
Software Engineer
Software Engineer Focus on the JavaScripts Technologies with the PostgreSQL to design the Web Applications by using the Ng-Client technology, Web Client Technology, Smart Client Technology.
Get the Core idea about the server side programming using C/C++.
Outsourced to a US Company
1) Work on their Fixed Income Collateral Management System.
2) Work on their Simple Solutions for Compliance with FINRA Rule 4210.
3) Understand and Work on the Agency Broker algorithmic Trading Provider, Order Management System (OMS), Reporting System Provider.
Get the Core idea about the server side programming using C/C++.
Outsourced to a US Company
1) Work on their Fixed Income Collateral Management System.
2) Work on their Simple Solutions for Compliance with FINRA Rule 4210.
3) Understand and Work on the Agency Broker algorithmic Trading Provider, Order Management System (OMS), Reporting System Provider.
Cloud Innovators Solution Full-time
Jan 2021 - Mar 2021 (2 months)
Research Analyst (Computer Vision and Numeric Computing)
Currently, work on Real-time Traffic Analysis by using Big Data Technologies.
Done some research on the skeletonization by using Zhang’s method vs Lee’s method.
Work on Numeric Computing by using Matlab to solving the Engineering Modelling Problem (Shear Force and Bending moment).
Understand the Digital Signal Processing Technique, understand Various Digital Systems (Kaiser window, Butterworth approximation, Chebyshev approximation)
Work on some opensource Cloud Computing serverless tools ( Knative, openfaas, tubeless )
Using Machine Learning technique to understand the sound pitch and Wavelength)
Done some research on the skeletonization by using Zhang’s method vs Lee’s method.
Work on Numeric Computing by using Matlab to solving the Engineering Modelling Problem (Shear Force and Bending moment).
Understand the Digital Signal Processing Technique, understand Various Digital Systems (Kaiser window, Butterworth approximation, Chebyshev approximation)
Work on some opensource Cloud Computing serverless tools ( Knative, openfaas, tubeless )
Using Machine Learning technique to understand the sound pitch and Wavelength)
Deloitte Internship
Dec 2019 - Feb 2020 (2 months)
Risk Advisory
client interaction understanding organization business process and their financial reports.
Apply controls and technical reviews in organization databases and operating systems.
Using R language and SPSS to perform analytical tests.
journal entries testing reconciliation.
Apply controls and technical reviews in organization databases and operating systems.
Using R language and SPSS to perform analytical tests.
journal entries testing reconciliation.
Add some compelling projects here to demonstrate your experience
Medical Insurance Premium Prediction using Stochastic Variational Inference
Aug 2019 - Dec 2019
The purposes of this Project to look into different features to observe their relationship, and used a Bayesian learning approach on several features of individual such as age, physical/family condition and location against their existing medical expense to be used for predicting future medical expenses of individuals that help medical insurance to make decision on charging the premium.
By using Stochastic Variational Inference,HMC and Gaussian Process.
By using Stochastic Variational Inference,HMC and Gaussian Process.
Customers Analysis Through Financial App Behavior Analysis
we are worked on financial application data and predict the customer who will take a premium version app subscription or not. Then the company will take action on the customers to give the offers or not. The data contain the customer’s behavior and our job to find the insights from it.
To complete this project, we use python programming and it’s libraries NumPy, Pandas, Matplotlib, and Seaborn.
To complete this project, we use python programming and it’s libraries NumPy, Pandas, Matplotlib, and Seaborn.
Game of Life Using Q learning : Reinforcement Learning
In Game of life by using Q learning approach we develop a autonomous methods in which block find the best possible path and precise path to move into right destination by using Learning Rate and Discount Factor.
Approach used: Bellman Equation,Markov Decision Process,Value iteration.
Approach used: Bellman Equation,Markov Decision Process,Value iteration.
This section lets you add any degrees or diplomas you have earned.
National University of Computer and Emerging Sciences
Bachelor of Science - BS, Computer Science
Jan 2016 - Jan 2020
National Taiwan University
Machine Learning Summer School (MLSS), 2021
Jan 2021 - Jan 2021
The Machine Learning Summer School (MLSS) is held periodically each year at various universities around the world.
Gulshan e Iqbal College
Engineering
Jan 2014 - Jan 2016
The Educators
Mathematics, Physics and Computer Science
Jan 2008 - Jan 2014
Beaconhouse School System
Jan 2002 - Jan 2007