Muhammad Oaun

Academic

Verbatim text

Muhammad Oaun
+923209032921, s.m.oaun27@gmail.com
Satellite Town, Rawalpindi
Linkedln: https:ljwww.linkedin.com/in/syed-oaun-7ala9023a
Bachelor of Artificial Intelligence {Al)
Major:
Generative Al, Computer Vision, Knowledge Representation & Reasoning, Artificial Intelligence,
Database Systems, Fundamentals of Software Engineering, Parallel Distributed Computing,
Computer Networks, Reinforcement Learning, Machine Learning
HIST School and college Hangu
F.Sc {Physics, Computer Science, Mathematics)
HIST School and college Hangu
atriculation {Physics, Chemistry, Computer Science)
rojects
inal Pro 'ect: llmMate [chroma, langchain, ngrok, huggingface, ollama]
Developed a WhatsApp-based educational chatbot using Retrieval-Augmented Generation (RAG), integrating the Phi-
-medium LLM and ChromaDB for intelligent retrieval and context-aware responses.Designed t he syst em to support
tudents with personalized learning resources and instant assistance such as assessments, quizes and generates a
report on their progress.
hatsapp Bot builder:
Made a bot builder where users come with their shop info ( inventry, shop information (what they do) ), and my bot
builder make a bot for them specific for their phone number, connects it, and they are good to go. Now their users
can message their bot and have a conversation.
Multimodal Sentiment Analysis:
Implemented a Neural Network from scratch using pytorch for sentiment analysis using textual and visual data.
Evaluation: Achieved an accuracy of 94. 7% on the test set,
outperforming unimodal baselines.
Deepfake Detection :
I Implemented a Convolutional Neural Network (CNN) to detect deepfakes in a video dataset.Dataset: Used the DFDC
dataset containing 2,000 video samples, with 1500 real videos and 500 deepfake videos. Approach: Preprocessed
ideos to extract frames, then trained a CNN model with 4 convolutional layers and 3 fully connected layers.
Results: Achieved an accuracy of 89% on the test set
eather forecasting [MLOPS] :
complete end-to-end MLOps pipeline for building a weather forecasting model. By leveraging tools like DVC,
irflow, and MLFlow, Created an automated, scalable, and reproducible workflow for collecting data, training models,
nd monitoring performance.
ycleGAN Implementation for Person Face Sketches:
Conversting face images to sketches and sketches back to face images using cycle gans
xperience
ssociate Machine Learning Engineer at Vector inc
august 2024- present
kills & Tools
Professional Skills
eamwork & Collaboration, Interpersonal Skills, Communication.
echnical Skills
Python, C++, Assembly Language, C, SQL, Bootstrap and HTML & CSS, Git, MySQL, Visual Studio
Code, PyCharm, SQLite, Protege, GraphDB, VS Code, Jupyter
Notebook, TensorFlow, & Pytorch, NumPy, Pandas, Scikit Learn, OWLReady2, Keras
Dean's list of Honors (Spring 2023 )
Dean's list of Honors (Fall 2021)
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