Junaid Maqbool Siddiqui
FAST
· 2025
Email
junaidmaqbool18011@gmail.com
Phone
+923359974947
LinkedIn
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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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Verbatim text
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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