Abdullah Latif Kiyani
FAST
· 2025
Email
ani@gmail.com
Phone
+923437774544
GitHub
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Academic
Program
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CGPA
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Year
2025
Education
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Address
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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