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Junaid Maqbool Siddiqui

FAST · 2025
Email
junaidmaqbool18011@gmail.com
Phone
+923359974947
LinkedIn
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.
Junaid Maqbool Siddiqui
+923359974947, junaidmaqbool18011@gmail.com
Chour Harpal, Rawalpindi.
Linked In: www.linkedin.com/in/junaid-maqbool-5056bb304
I, Generative Al, Deep Learning, Data Analytics, Data Visualization, Machine Learning and
om uter Vision.
atriculation (Physics, Chemistry, Computer Science)
inal Pro ·ect: A Smart application that transforms your spoken ideas into detailed architectural drawings.
t aims to revolutionize the process of floorplan creation by introducing a voice-controlled interface, making the
reation of 2D floor plans accessible and intuitive.
emester Pro ·ects:
udo (C++]:
reating a Ludo game with a (GUI) in C++.
entiment Analysis [Python, Deep Learning]:
eveloped a multimodal framework to analyze sentiment and humor in memes by combining image and text analysis
ith feedforward neural networks.
lassifier Performance Analysis on the RUHA Audio Dataset [Python, Machine Learning]:
valuated various classification models for audio classification tasks using the RUHA Audio Dataset, analyzing
etrics like accuracy, precision, recall, and Fl score.
orecasting Sales in Dynamic Retail Environments: A Robust Approach [Python, Machine Learning, Time Series]:
mplemented advanced forecasting methods to predict sales in dynamic retail environments, accounting for
easonality and market fluctuations.
enerating Realistic Face Images from Sketches Using Conditional GANs [Python, GANs]:
eveloped a Conditional GAN model to convert sketches into realistic facial images, bridging the gap between
bstract and detailed representations.
ord-Level LSTM for Dynamic Sentence Completion: Real-Time Suggestions from Shakespeare [Python, Deep
earning, LSTM]:
reated a word-I evel LSTM model for real-time dynamic sentence completion, generating interactive suggestions based
n Shakes pea rea n text.
ython, Tensor Flow, No SQL, Sci-kit Learn, SQL, streamlit, graph DB, HTML, CSS, Pytorch,
a ngcha in, Socket programming, Creating chatbots.
chievements/ Certification
ttended seminars on Various Current Technologies led by industry professiona Is.
a rtici pa ting in competitive Programming events.
unner up in NasCon hackathon 2021.
unner up in Softech Programming competitions2022.
ertificate of Merit from 2016-2018 at PMS.
use to taught various subjects to SSC and HSSC student.
a mes, Readin motivational and businessrelated books, Cricket.
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Junaid Maqbool Siddiqui is a recent graduate from FAST NUCES with academic projects in Generative AI, Deep Learning, and Machine Learning. His experience includes developing multimodal sentiment analysis frameworks, GANs for image generation, and time-series forecasting models. He has demonstrated competitive programming skills through hackathon placements and technical certifications.
Skills (AI)
["Python", "Deep Learning", "Generative AI", "Machine Learning", "Computer Vision", "TensorFlow", "PyTorch", "LSTM", "GANs", "SQL", "NoSQL", "Streamlit", "C++", "Data Visualization", "Time Series Forecasting", "Sentiment Analysis"]
Status: ai_done
Provenance
Source file:
Created: 1777724106