Skip to content
View wahidulalamriyad's full-sized avatar
💻
Building end-to-end ML products
💻
Building end-to-end ML products
12 followers · 4 following

Highlights

  • Pro

Organizations

@zero-to-mastery

Block or report wahidulalamriyad

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
wahidulalamriyad/README.md

🏆Bio

Machine Learning Software Engineer with experience developing and deploying sophisticated AI models. Proficient in Python, Java, Scikit-Learn, PyTorch, TensorFlow, and a range of essential ML libraries, with hands-on expertise in data preprocessing, feature engineering, and model evaluation. Adept at collaborative work and problem-solving.

🧑🏻‍💻Portfolio

Portfolio

🕸️Socials

LinkedIn Medium Credly

🦾Skills

Machine Learning Deep Learning Clustering & Classification Regression Predictive Analytics Data Modelling Data Visualisation LLM NLP Web Scraping Collaborative Leadership Skills Project Management

🥷🏻Programming Languages

Python Java SQL

🤖Machine Learning Stack

PyTorch TensorFlow Scikit-Learn NumPy Pandas Matplotlib Keras OpenCV spaCy

👽Software Engineering Stack

AWS Docker Git GitHub Bash

Pinned Loading

  1. qa-on-private-documents-rag qa-on-private-documents-rag Public

    Developed an advanced question-answering system utilising the OpenAI, Pinecone, and LangChain (OPL) stack, enabling dynamic information retrieval from nonpublic or recent documents not covered in t…

    Jupyter Notebook

  2. skimlit skimlit Public

    Replicated a cutting-edge NLP model from the 2017 paper "PubMed 200k RCT" to classify sentences in medical abstracts sequentially, using the dataset of ~200,000 labelled Randomised Controlled Trial…

    Jupyter Notebook

  3. food-vision-big food-vision-big Public

    Developed the Food Vision Big model using TensorFlow, surpassing the performance of the 2016 DeepFood CNN model with an accuracy of 80.2% on the Food101 dataset comprising 101,000 images. Implement…

    Jupyter Notebook

  4. classification-models-for-coronary-heart-disease classification-models-for-coronary-heart-disease Public

    Conducted research and developed a system under Dr Jixin Ma on the comparison of numerous classification models to predict coronary heart disease using past medical data from the UCI Machine Learni…

    Jupyter Notebook

  5. smart-analysis-system smart-analysis-system Public

    Conducted research and developed a system under Dr Hamam Mokayed on an intelligent analysis system for juvenile safety against gun violence using facial recognition technology by utilising real-tim…

    JavaScript 3

  6. vehicle-intelligent-ystem vehicle-intelligent-ystem Public

    The proposed algorithms that have been used in this Project are Saliency, Background Subtraction, K-Means, Dilation, Erosion, Blob, and YOLO. The YOLO v3's accuracy in the project is faster and mor…

    C++ 2