Muhammad Rafay Kiyani

Academic

Verbatim text

Muhammad Rafay Kiyani
+92 309 5340030, rafaykiyani1135@gmail.com
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New Lalazar, Rawalpindi.
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Linkedln: https://www.linkedin.com/in/rafay-kiyani-0873a4246/
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':ducation
Bachelor of Science (Artificial Intelligence)
Major:
~a chine Learning, Deep Learning, Natural Language Processing, Computer Vision, Databases,
ata Analysis, Machine Learning Operations (MLOps & DevOps).
Roots College (DHA-1)
A'levels (Maths, Physics, Chemistry)
Roots Garden Schools (Harley Street)
D'Levels (Maths, Physics, Chemistry, Biology, Urdu, English, lslamiat, Pak Std.)
orojects
inal Proiect: A Mobile Application for the Hearing Impaired Individuals. (React Native, AWS Sagemaker,
Python, Tensorflow, Figma etc.)
A. mobile application created in React Native that aids the hearing impaired by providing real-time transcript ion and
ra nslation to blur the line between the normal working force and people w ith hearing issues.
~emester Proiects:
Air-Xonix Game (Assembly language):
: reated a full-fledged game using only assembly language and its graphic libraries.
Web-App with Databases:
Made use of frontend and backend (NodeJs) to create a web app involving CRUD operations and a SQL database.
:::ontainerized Ml-Application:
Made use of proper MIOps Practices, which included airflow, Mlflow, flask, Cl/CD, ETL pipeline, Docker and Kubernetes (K8s) to
Deploy a Machine Learning Application. The frontend was made in ReactJs.
Multimodal Neural Network for Sentiment Analysis:
mployed use of techniques such as multi-modality to make use of textual and image data both and use both the feature maps for
a final prediction.
Comic-Generation Application:
Used generative Al to create a pipeline that took user input from the frontend and utilized generative models to create scripts
which led to creation of comics.
Style GANs:
Made use of the Style GANs architecture from scratch to implement a procedure which changed a real life image to a game-like
Pnvironment using style transfer.
Work Experience
i:ull-stack Web Development Intern at Skylark Solutions:
April 2024 - August 2024
Worked as a full-stack web developer, main areas worked on: ReactJs, NextJs, NestJs, AWS
A.mplify.
Skills & Tools
Professional Skills
Teamwork and Team M anagement.
Technical Skills
Python, Tensorflow, Docker, Aws Sagemaker, React Js, Next Js, Node Js, Flask, Utilizing Lat est Al
Tools, MLFlow Airflow R Language mySql.
Achievements
A.warded with a Scholarship of 80% In College.
Trainings I Certification
ReactJs Basic Course by M eta.
Activities
Played and M anaged e-gaming (valorant) in NasCon-2022.
'nterests
: limbing Mountains & Playing Video Games.
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