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Laiba Khawar

FAST · 2025
Email
laibakhawar7@gmail.com
Phone
+923053335757
LinkedIn
https://linkedin.com/in/laiba-k-00b2b1249
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Laiba Khawar
+923053335757, laibakhawar7@gmail.com
Bahria Enclave, Islamabad.
Linkedln: https://linkedin.com/in/laiba-k-00b2b1249
ata Analysis and Visualization, Big Data Analytics, Artificial Intelligence, Data Mining,
dva need Statistics, Data base Systems, Data Structures, Design and Analysis Of Algorithms,
atural Language Processing, Cloud Computing, Generative Al.
-Levels Ph sics, Chemistr , Mathematics
:EDI/Non-EDI-to-EDI and EDI-to-ERP mapping system [Python, MongoDB, React, Node.js, HTML,CSS)
eveloped an intelligent EDI-to-EDI, Non-EDI-to-EDI and EDI-to-ERP mapping system using MongoDB, React-Node.js,
nd LLMs for automated semantic mapping. The solution streamlines data translation across Xl2, EDIFACT, HL7,
NCOM and TRADACOMS, ensurin seamless ma
in with ERP s stems like SAP and Microsoft 365.
emester Pro ·ects:
arallel Neural Network Training (C++, IPC): Designed a distributed system for parallel neural network training using
nter-process communication and synchronization primitives.
mage Processing [C++, RLC): Developed an image processing system with pixel analysis, component extraction, and
un-length coding for compression.
eme Sentiment Classification [Python, Flask, Sklearn): Built a sentiment classification model for memes by
ombi ni ng text and image analysis using six classifiers and majority voting.
rban Climate Dynamics Analysis [EDA, Tableau): Analyzed NYC climate trends using the Berkeley Earth dataset and
ntegrated economic and taxi data to reveal urban dynamics.
utfit Prediction System [React, MongoDB, Java, HTML, CSS]: Developed a user-friendly web application that suggests
utfits based on weather conditions, integrating real-time data with a MongoDB backend.
dvanced Video Processing Pipeline [Python, Whisper, ViT-GPT2, Phi-3): Designed a para 11 el-threaded system for
oncurrent audio-visual analysis, integrating speech recognition, image captioning, and contextua l summarization.
I-Powered Billing System [VOLO, Computer Vision): Designed a cashier-less billing system using YOLO for real-time
roduct detection and automated rice calculation at checkout.
eacher Assistant, FAST NUCES, Islamabad.
Jan 2025 - Apr 2025
each er Assistant for Data base Systems & Natura I Language Processing
ython, C++, R, Java, Javascript, Angular, React, Ski earn, Pandas, Numpy, Pytorch, NLTK, MySQL,
ongoDB, Apache Spark, Hadoop, Ta bl ea u, HTML, CSS, Socket Programming, PacketTra cer, AWS
i sted onto University's Dea n's I ist for outstanding Academic Performance - Spring 2023 & Fa 11 2024
rainings I Certification
atacamp- Introduction to Python, Intermediate Python, Understanding Data Visualisation, Introduction to Data
eline Bui lder Pro·ect
ice President Internal - FAST Data Science Socie
I ayi ng Strategy games , Reading motivationa I books
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Laiba Khawar is a recent graduate from FAST NUCES with a strong academic record, including Dean's List recognition, specializing in Data Science and Artificial Intelligence. She has practical experience as a Teacher Assistant and has developed multiple projects involving machine learning, computer vision, and full-stack web applications.
Skills (AI)
["Python", "C++", "Java", "JavaScript", "React", "Node.js", "MongoDB", "SQL", "PyTorch", "Scikit-learn", "Pandas", "NumPy", "NLP", "Computer Vision", "YOLO", "Tableau", "AWS", "Hadoop", "Spark"]
Status: ai_done
Provenance
Source file:
Created: 1777724106