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Muhammad Millwala

FAST · 2023
Email
millwalamuhammad@gmail.com
Phone
+923328238110
LinkedIn
https://www.linkedin.com/in/muhammad-millwala-02606724b
GitHub

Academic

Program
CGPA
Year
2023
Education
Address
DOB

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Muhammad Millwala
+92 332 8238110, millwalamuhammad@gmail.com, DHA Phase 6, Karachi
LinkedIn: https://www.linkedin.com/in/muhammad-millwala-02606724b
Github: https://github.com/MuhammadMillwala
Medium: https://medium.com/MuhammadMillwala
Education
Bachelor of Science (Artificial Intelligence) 2023
Major: rtificial Intelligence, Artificial Neural Networks, Machine Learning, Deep Learning, Natural
Language Processing, Computer Vision, DevOps, Computer Networks, Knowledge Representation &
Reasoning and Software Project Management & Engineering.
Alevels (Physics, Chemistry, Mathematics)
levels (Physics, Chemistry, Maths, Additional-Math)
rojects
Final Project: MockVue — Al based Mock Job Interview Web System
MockVue is a web application to conduct mock job interviews in the field of Al. This is specifically for fresh graduates
ho have little to no experience in giving interviews, especially the ones conducted online. Through our web app, we
will offer some reflection and areas for improvement for our users.
emester Projects:
+ Created an online social media platform for content creators to post their content.
- Ring Distributed Hash Table (DHT), a decentralized storage system, in C++.
+ Apple leaf disease classification using OpenCVv.
- Hill Climbing Search, K-Nearest Neighbors (KNN) algorithm and K-Mean Clustering in Python.
- Customized encoder and decoder model for image segmentation in Python Jupiter.
+ Spell Correction and Poetry Generation for Roman Urdu language in Python Jupiter.
- Android Malware, Public Key Cryptography and RSA Encryption, Cross-Site Request Forgery Attack.
+ A 2D space shooter game in 16-bit Assembly Language.
+ MLOps Model Pipeline
- Designed and developed a database managemnet system for a fitness application using SQL, P-SQL, HTML, PHP and
css.
+ 3d Scene Simulated a 3D scene by knowledge graph and NLP
- Inter-process communication in Linux using Fork and Named Pipes.
Attributed Weighted Graph using multiple inheritance, and MinSort algorithm in C++.
Work Experience
\Skills & Tools
Professional Skills Leadership, Interpersonal Skills, Communication, Adaptibility,
echnical Skills Python, C++, OOP, TensorFlow, Github, Jenkins, Docker, PL/SQL, MongoDB, Oracle, Protege,
ava Script, HTML, CSS, React, Flask, Pytorch, OpenCV
Achievements
LWon 2" place in Bugcatcher Nascon 22
Trainings / Certification
Activities
ice President at Full Send Athletics (FSA)
Head Public Relations at Full Send Athletics (FSA)
interests
revelling Volleyball, Badminton, Football, Horse Riding
ATIONAL UNIVERSITY Lo I
Muhammad Mohtad Younus
+92-321-2203903, mohtadr1423 @gmail.com
LinkedIn: https://www.linkedin.com/in/mohtad/
Education
Bachelor of Science (Artificial Intelligence) 2023
Major: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, MLOps, Applied
Evolutionary Computing and Knowledge Graphs.
Hitec School And College For Boys, Taxila 2019
FSC-Pre Engineering (Physics, Chemistry, Mathematics, Computer)
Hitec School And College For Boys, Taxila 2017
Matric (Physics, Chemistry, Mathematics)
Projects
Final Project: DeepFarm (Agricultural Information & Insights) [Python, TensorFlow, Flask, HTML, CSS, JS, Google Collab,
Opencv]
Deepfarm, a web application based on modern Al techniques such as deep neural networks and machine learning models
(Unet) using open-source satellite imagery (Sentinel 2) to assist the agricultural sector. Deepfarm aims to provide agricultural
insights and field level statistics such as crop identification, crop segmentation and crop yield estimation.
Semester Projects:
Face Mask Detection [OpenCV, TensorFlow, Python] :
re mask detector with OpenCV, Keras/TensorFlow, and Deep Learning
Roman-Urdu Spell Correction LM [Python, NLTK]:
pelling Correction Module for Roman Urdu using Language Modeling and Bias Theorem.
PointNet 3D Image Classification [PyTorch] :
mplementation of Point-Net architecture with 3D point cloud data classification pipeline.
SPARQL endpoint for Supplements dataset [Protege, rdflib, Python, GraphDB] :
Ontology design and knowledge graph developed for structured but unlinked supplements data
Healthcare Al Chatbot [Python, NLP]
Machine learning algorithms such as SVM, NB, and KNN to train the medical chatbot.
Work Experience
Python Developer, Taxovation, Islamabad September 2022 -
Designed the website’s layout, created and updated content, optimized the site for search January 2023
‘engines and ensured that it is responsive and accessible on all devices. Developed a client portal
here clients can access their tax documents, or an external application for tax professionals to
manage client data. Integrate tools of special software in the company’s website.
Skills & Tools
Professional Skills | Communication, Problem-solving, Time Management, Adaptability, Leadership, Continuous Learning
Technical Skills Programming Languages, Machine Learning Algorithms, Data Preparation and Analysis, Data
Structures and Algorithms, Cloud Computing Platforms, Big Data Technologies, Software Engineering,
NLP, Computer Vision
Achievements
e Winner ChatBot Competition
Trainings / Certification
e Certified AWS Cloud Fundamentals Practitioner. (Amazon)
e Certified Python Programmer (Microsoft)
Activities
@ Member of Al developers’ community under Al and DS society (ADSoc, FAST)
e Participated in chat-bot competition ‘BotBaazi’ under ADSoc in NaSCon’22
e Conducted University Seminar on Professional Practices.
Interests: Technology and innovation, Reading, Volunteer work, Sports and physical activities

AI enrichment

Muhammad Millwala is a 2023 graduate with a BS in Artificial Intelligence, possessing foundational skills in Python, C++, and machine learning frameworks like TensorFlow and PyTorch. His experience includes academic projects in computer vision, NLP, and web development, along with a brief professional role as a Python Developer.
Skills (AI)
["Python", "C++", "TensorFlow", "PyTorch", "OpenCV", "Flask", "React", "Docker", "Jenkins", "MongoDB", "Oracle", "SQL", "Machine Learning", "Deep Learning", "NLP", "Computer Vision", "Git", "Linux"]
Status: ai_done
Provenance
Source file:
Created: 1777726226