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Abdullah Latif Kiyani

FAST · 2025
Email
ani@gmail.com
Phone
+923437774544
LinkedIn
https://www.linkedin.com/in/abdullah-latif-182135263/
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

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I
Abdullah Latif Kiyani
,\,..
+923437774544, abdullahlatifki~ani@gmail.com
Dhoke Chaudrian, Rawalpindi.
linked In: https://www.linkedin.com/in/abdullah-latif-182135263/
'Education
Bachelor of Science (Computer Science)
Major:
~atural Language Processing, Generative Al, Web Development, Blockchain, Cloud Computing,
rtificial Intelligence, MLOPs and Software Engineering.
Fauji Foundation College New Lalazar, Rawalpindi
F.Sc (Physics, Chemistry, Mathematics)
~ 1-Huda Model School, Rawalpindi
Matriculation (Physics, Chemistry, Computer Science)
Projects
r:;nal Proied: Automated Financial Record Digitalization, easily digitize unstructured financial records with our
automated deep tech solution [Nodejs, React, MongoDB, Python, OCR, Selenium]
~utomated extraction and analysis of financial data from PDFs, incorporating data scraping, data standardization, NLP
~echniques and a chatbot for streamlined, accurate, and user-friendly data retrieval and reporting.
Semester Proiects:
FYP-Management Sysyem [C#/ASP.NET, HTML, CSS, MySQL]:
~ Project facilitating 4 users Students, Supervisors, Panel member and FYP Commitee.
~ym Management System [JAVA, MySQI, PHP, CSS, and HTML]:
Designed a Gym Management System in JAVA and developed its all modules catering Member Management, Payment,
t i ass Scheduling, inventory and Communication.
~i-Assisted cooking Recipe Generator [Python, pytorch]:
rrrained a LightweightGPT-2 transformer model on a dataset, including detailed instructions and user ingredients.
Successfully enabling the model to generate precise recipe instructions based solely on provided ingredients.
Sketch-to-Image and Image-to-Sketch [python,]:
Implemented a CycleGAN model for sketch-to-image and image-to-sketch translation using unpaired datasets.
Preprocessed data and optimized training for efficient convergence.
Event management System Nascon [MERN]:
MERN Stack frameworks to fully create an Event Management System with multiple user profiles and interactions.
~utomated Timetable Scheduling Using Genetic Algorithms [Python]:
Developed a Genetic Algorithm for automated timetable scheduling using binary encoding.
Work Experience
Intern, UrduX
I
June 2024 - Aug 2024
Worked on Machine learning concepts like RAG and implemented a RAG based chatbot
Skills & Tools
Professional Skills
Teamwork, Communication, Adaptability.
iTechnical Skills
Python, Tensor Flow, SQL, No SQL, Sci-kit Learn, JavaScript, React, Nodejs, MongoDB, Java,
HTML, CSS, Selinium, OCR, C#/ASP.NET, git
!Achievements
Led a team of developers to successfully deliver a high-profile project on time.
K;ot First Position Presenting an idea in an ldeathon.
Trainings I Certification
:completed certifications of Generative Al with Large language Models with DeepLearning.AI
:completed a month-long workshop on MERN at FAST NUCES, Islamabad
!Activities
Blood Donation campaign, Inter-batch football,
1nterests
Playing Strategy games, Travelling, Hiking
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Abdullah Latif Kiyani is a Computer Science graduate with a focus on Natural Language Processing, Generative AI, and full-stack web development. He has practical experience implementing RAG-based chatbots and building automated data extraction systems using Python, React, and Node.js.
Skills (AI)
["Python", "React", "Node.js", "MongoDB", "TensorFlow", "Generative AI", "NLP", "RAG", "SQL", "NoSQL", "Java", "C#/ASP.NET", "Git", "Selenium", "OCR", "Machine Learning"]
Status: ai_done
Provenance
Source file:
Created: 1777724106