Muhammad Nadeem Email & Phone Number

United Kingdom

United Kingdom

Lahore, Punjab, Pakistan

💬 Developed Chatbots: Utilized Retrieval-Augmented Generation (RAG) techniques, seamlessly integrating retrieval and generative methods to enhance conversational AI capabilities.🎛️ Fine-Tuned LLMs: Implemented quantization techniques such as LoRA, QLoRA, and sparsity methods to boost model efficiency and performance while minimizing computational and memory requirements.☁️ Azure SQL & AI Integration: Established an Azure SQL Database, integrated with Azure AI Search, to convert user queries into SQL, leveraging GPT-4 for response generation.🔗 Unified Data Models: Combined unstructured data RAG models with knowledge graphs and structured data, improving retrieval efficiency and conducting experiments with GPT-4 and LlamaIndex for text-to-SQL conversion.🌐 Knowledge Graph Implementation: Researched and implemented Knowledge Graphs using Neo4j and Azure Cosmos DB, significantly improving information retrieval processes.🤖 Multi-Agent Systems: Developed multi-agent systems for LlamaIndex and NL2SQL tools, integrating LangChain and Neo4j for seamless and efficient workflows.🔍 Optimized Data Retrieval: Found Cosmos DB with Gremlin API optimal for graph storage, writing code for precise data retrieval from knowledge graphs.⚙️ Hybrid Retrieval: Enhanced graph density and incorporated vector embeddings for hybrid retrieval, optimizing performance across various applications.🔧 Knowledge Graph Indexer: Implemented Neo4j and LlamaIndex Knowledge Graph Indexer, achieving smooth integration and production readiness, and stored Graph Index locally to avoid reloading, despite occasional pipeline issues.🚀 Custom AI Tools: Developed a custom CrewAI tool for knowledge graph retrieval, overcoming compatibility and optimization challenges.🏎️ Property Graph Performance: Observed that Property Graphs outperformed simple Knowledge Graphs, offering quick retrieval times and robust performance in various use cases.

Lahore, Punjab, Pakistan

🚀 Passionate AI Engineer | NLP & Computer Vision SpecialistI am an accomplished AI engineer with a focus on optimizing algorithms and deploying cutting-edge models for real-world applications. My expertise lies in enhancing the efficiency and accuracy of various tasks through innovative solutions. Here's a snapshot of my key contributions:🔍 YOLO Algorithm Optimization:Transformed the YOLO algorithm for superior logo detection on webpages, delivering outstanding results.🤖 AutoModelForSequenceClassification Optimization:Specialized in fine-tuning AutoModel for classifying invoices, distinguishing legitimate purchases from potential scams.🌐 Real-time NLP BiLSTM Model:Developed a BiLSTM model for dynamic differentiation between malicious and benign web pages, achieving a remarkable precision of 99.5 and recall of 99.6 through a Chrome extension.🤯 Customized BERT Model Deployment:Optimized and deployed a BERT model tailored for specialized data, incorporating diverse sources like Twitter and ChatGPT-generated data for robust training.📃 Text Classification & Feature Engineering:Engineered text classifiers leveraging URL and HTML features, including text extraction and curation of bespoke features from HTML content.🔄 Efficient Data Pipeline Automation:Automated the source data pipeline using Apache Airflow, streamlining data preprocessing and Dockerizing the entire process for seamless deployment.🌐 Offline HTML Model for Web Page Identification:Engineered an offline HTML model using deep learning techniques for the identification of malicious web pages, extracting nuanced features from HTML structures.📊 Extensive Data Analysis:Conducted comprehensive data analysis on large-scale datasets, preprocessing millions of records for model readiness.I am eager to contribute my skills and passion for AI to drive impactful solutions in your organization. Let's connect and explore opportunities!

Lahore, Punjab, Pakistan

I have gained experience working on various aspects of web development, including Django Restful API, front-end and back-end development, and database management. One of my notable projects was the Calgary Lock and Safe website, where I worked as a full-stack developer.Specifically, I used Django as the back-end framework and React.js as the front-end library to create a responsive and user-friendly interface for the website. To manage the website's data, I utilized SQL Server as the primary database and implemented efficient data models to store and retrieve data. In addition, I worked on Elastic Search, a powerful search engine tool, to enhance the website's search functionality and improve the user experience.As a part of my work on the Calgary Lock and Safe website, I built an admin dashboard that provided an intuitive and comprehensive interface for the website's administrators to manage and monitor the website's activities. This dashboard allowed administrators to view website analytics, manage user accounts and permissions, and track website events and activities.Overall, my experience working on the Calgary Lock and Safe website has provided me with valuable skills in web development, database management, and project management, and I look forward to utilizing these skills to create innovative solutions for future projects.

Punjab, Pakistan

Throughout my career in machine learning, I have worked on various algorithms and models, including linear regression, logistic regression, and classification. Additionally, I have experience with custom object detection using Yolo-v4, which is a powerful deep learning framework for object detection and recognition.One of my notable projects involved stock price prediction and forecast prediction. I worked on developing machine learning models to analyze historical data and predict future stock prices and trends. This involved using advanced statistical techniques and data analysis tools to identify patterns and trends in the data.In addition to my work in machine learning, I have also worked on developing autonomous systems, including an autonomous lawnmower. As a part of this project, I developed an Android app that allowed users to control the lawnmower remotely and built a system to enable autonomous movement and operation of the lawnmower. This project involved integrating various hardware and software components, including GPS, sensors, and control systems, to enable safe and efficient operation of the lawnmower.Overall, my experience in machine learning and autonomous systems has provided me with valuable skills in data analysis, modeling, and system integration, and I look forward to applying these skills to develop innovative solutions for future projects.