Shehroz Ali

Academic

Verbatim text

Shehroz Ali
+9 23200423124, jrshehrozali619@gmail.com
Rawal Colony, Rawalpindi
Linkedln: https://www.linkedin.com/in/shehroz-ali-802952258
Bachelor of Artificial Intelligence (Al)
Major:
Generative Al, Computer Vision, Machine Learning, Deep Learning, Natural Language
Processing, MLOps, Knowledge Representation & Reasoning, Artificial Intelligence, Database
Systems, Fundamentals of Software Engineering, Parallel Distributed Computing, Computer
Networks, Reinforcement Learning
Hitec taxila cantt
F.Sc (Physics, Computer Science, Mathematics)
PS Noor Mahal Campus bahawalpur
Matriculation (Physics, Chemistry, Computer Science)
rojects
Final Pro 'ect: llmMate [chroma, langchain, ngrok, huggingface, ollama]
-Developed a WhatsApp-based educational chatbot using Retrieval-Augmented Generation (RAG), integrating the Phi-
3-medium LLM and ChromaDB for intelligent retrieval and context-aware responses.Designed the system to support
tudents with personalized learning resources and instant assistance such as assessments, quizes and generates a
report on their progress.
Pro'ects:
Pneumonia Classification Using self supervised Vision Transformer (DINO V2)):
Developed and implemented a self-supervised learning model(self distillation) for pneumonia detection from chest X-
ray images using the DINOv2 Transformer architecture.
ReforesTree:
Leveraging a fine-tuning based deep learning CNN architecture enhanced with regression heads and MLP feature
mapping, and powered by cost-effective drone imagery, to predict the tropical forest carbon stock estimation.
eather forecasting [MLOPS] :
complete end-to-end MLOps pipeline for building a weather forecasting model. By leveraging tools like DVC,
irflow, and MLFlow, Created an automated, scalable, and reproducible workflow for collecting data, training models,
and monitoring performance.
Medical Symptons text classification :
Developed an NLP pipeline to preprocess and classify medical symptom texts into distinct categories using advanced
eature extraction (TF-IDF, CountVectorizer) and machine learning models (including BaggingClassifier).
Optimized the system through extensive data exploration, cross-validation, and hyperparameter tuning.
ideo Classification:
Classification of videos using a VIT (vision Transformer)
lmateralist:
ine tuning yolo and faster rcnn on imateralist dataset and deploying it on the frontend using NGROK
CycleGAN Implementation for Person Face Sketches:
Conversting face images to sketches and sketches back to face images using cycle gans
Internship
cquired hands-on experience with ROS and OpenAI Gym, developing simulation
environments for reinforcement learning and creating projects like a Flappy Bird game
using Deep Q Learning. Successfully deployed a deep learning-based turtle obstacle
avoidance system in Gazebo, significantly enhancing autonomous navigation capabilities.
kills & Tools
eamwork & Collaboration, Interpersonal Skills, Communication.
June 2024- july 2024
echnical Skills
Python, C++, Assembly Language, C, SQL, Bootstrap and HTML & CSS, Git, MySQL, Visual Studio
Code, PyCharm, SQLite, Protege, GraphDB, VS Code, Jupyter
Notebook, TensorFlow, & Pytorch, NumPy, Pandas, Scikit Learn, OWLReady2, Keras
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