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Muhammad Hisan Usman

FAST · 2025
Email
hisan.usman20@gmail.com
Phone
+923035453473
LinkedIn
https://www.linkedin.com/in/hisan-usman/
GitHub

Academic

Program
CGPA
Year
2025
Education
Address
DOB

Verbatim text

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Muhammad Hisan Usman
+923035453473, hisan.usman20@gmail.com
E-11, Islamabad
Linkedln: https://www.linkedin.com/in/hisan-usman/
rtificial Intelligence, Generative Al, Computer Vision, Language Models, Machine Learning, Al
gents, and Natural Language Processing.
uperNova School, Islamabad
Cambridge GCE A-Levels
uperNova School, Islamabad
Cambridge GCE 0-Levels
rojects
Final Pro "ect: CCTV surveillance of violent activities using computer vision & generative Al [Vision Transformer,
LangChain, OpenAI, Scene understanding (CLIP)]
n Al system for CCTV surveillance of violence and criminals, capable of automatically detecting different activities,
enerating Al based reports, bookmarking timestamps and alerting authorities.
emester Pro·ects:
I Agent for university portal(s) [LangChain, Pytorch, JavaScript]:
Developing an agent for automation of university portals (result calculation, statistics, automatic Al emails etc).
AG model for Law queries [RAG, OpenAI, LangChain, Python]:
Created a RAG model for answering queries related to Law, utilizing OpenAI and LangChain.
Deep learning for custom emoji generation from facial expressions [GANs, Python]:
rained a deep learning model which used GANs to generate emojis based on facial expressions.
ign language detection & audio generation [Computer Vision (CNNs), Text-To-Speech, Python]:
Developed a model to detect sign language gestures and form proper sentences. Generated audio using TIS models.
tock Price Prediction with LSTM [Reinforcement learning, LSTM]:
Created a Long-short-term-memory model on the stock price of Google and used an API for live stock prediction.
eather forecasting with MLOps [DVC, Airflow, MLFlow, Docker, Kubernetes]:
Leveraging MLOps tools, created an automated, scalable, and reproducible workflow for automation of ML models.
achine Learning Model for Credit Score Classification [Pytorch, Teradataml, Teradata Vantage]:
ML model for the classification of credit score, using both sci kit-learn and teradataml.
achine Learning Intern, Teradata.
Created deep learning models leveraging Teradata Vantage with teradataml for large-scale
inancial analytics, and separately with sklearn for various deep learning workflows.
rtificial Intelligence Intern, Systems Limited.
utomated the data science pipeline which removed the need for ML Engineers to write
code for training models, visualizing data, and exploring datasets.
Machine Learning Intern, Rapidev (NSTP).
Developed a computer vision model, for Saudi military, to detect vehicles & equipment.
Dashboard & Analytics Intern, Data Bl (NSTP).
nalyzed large datasets of companies by using Tableau & Power Bl.
kills & Tools
rofessional Skills
Leadership, Problem-Solving, Time-Management, Communication.
Jun 2024 - Aug 2024
Jul 2023 - Sep 2023
Jun 2023 - Jul 2023
Jan 2023 - Jan 2023
echnical Skills
Generative Al, Computer Vision, Machine Learning, Language Models, Data Science, Python,
ensor Flow, Pytorch, Data Engineering, FastAPI, SQL, Flask, JavaScript, ETL, HTML, CSS.
Trainings I Certification
Mastering Generative Al: Agents with RAG and LangChain - IBM.
Google Project Management - Google (In progress).
dvanced Al: Transformers for Computer Vision - Linkedln Learning.
Machine Learning - Stanford Online.
FAST NUCES ISLAMABAD CAMPUS

AI enrichment

Muhammad Hisan Usman is an AI and Machine Learning professional with internship experience at Teradata, Systems Limited, and Rapidev, focusing on computer vision, generative AI, and MLOps. He has built various projects involving LLMs, RAG systems, and deep learning models, supported by certifications from IBM and Stanford.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "Computer Vision", "Generative AI", "Natural Language Processing", "LangChain", "PyTorch", "TensorFlow", "RAG", "MLOps", "Docker", "Kubernetes", "FastAPI", "SQL", "Flask", "JavaScript", "Tableau", "Power BI"]
Status: ai_done
Provenance
Source file:
Created: 1777724106