Mohsin Quddus

MOHSIN QUDDUS Contact: - Email:-GitHub: https://github.com/mohsinquddus LinkedIn: https://www.linkedin.com/in/mohsin-quddus-1a3b36154/ “Software Developer Professional in delivering value and transforming requirements into meaningful solutions.” Education Technical Skills ✓ Languages: By efficiently utilizing Python, SQL & DAX, I deliver efficient solutions across diverse projects. ✓ IDEs: I have utilized esteemed IDEs such as VS Code, Spyder, Jupyter Notebook, Google Colab, PyCharm, and Jupyter Lab in projects, optimizing efficiency and achieving successful outcome. ✓ Frameworks &Toolkits: With a comprehensive framework and toolkit including Tensorflow, Keras, Flask, Django, Mediapipe, Numpy, Matplotlib, Plotly, OpenCV, NLTK, Scikit-learn, langchain, Pandas, aiohttp, sqlalchemy, alembic, docker, etc These resources not only help me create but also bolstered the efficiency and effectiveness of my projects. Work Experience ✓ Algo 2022-09, Present Role: NLP Engineer with API & Development skills. Responsibilities: NLP, Machine Learning, Deep Learning, Scrapping, EDA, Python Scripting for task automation, API exposing, database models and migrations, etc. ✓ Hawk Logix (Pvt) Ltd 2022-02, 2022-09 Role: Machine Learning Engineer Responsibilities: Machine & Deep Learning, Computer Vision, Medical Data Analysis, API Exposing using Flask/Django. ✓ SpimeLab Canada (Remote) 2020-01, 2022-02 Role: Machine Learning Engineer Responsibilities: Supervised & Unsupervised Machine Learning using SAS Enterprise Miner, Content creation on ML. ✓ Ibrahim Fibers Ltd 2020-07, 2020-12 Role: Network System Architect Responsibilities:Inter-VLAN routing, trunking, DHCP, Gateway, and other devices configuration. Virtual Machine Creation & window 7, server 2012 R2 Installation GUI. ✓ Freelancing 2018-01, 2020-01 Role: Machine Learning Engineer Responsibilities: Machine Learning, Deep Learning, Data Analysis, Scrapping API exposing, Data Cleaning. BS Software Engineering 3.38 CGPA NTU, Faisalabad. Area of Interest ✓ ✓ ✓ ✓ ✓ Artificial Intelligence Automation Data science Ethical Hacking API Integration Proficiency ✓ Machine Learning ✓ Supervised ✓ Unsupervised ✓ Deep Learning ✓ Computer Vision ✓ NLP ✓ Data Science ✓ Linux ✓ Web Scrapping ✓ API Exposing Extramural Activities ✓ Horticultural Activities. ✓ Senior Boys Coordinator at Character Building Society ✓ Media Head at DCS Projects: ✓ Supply Chain Chatbot: (Microsoft Bot Framework Integration) Developed using the Microsoft Bot Framework, Azure Conversation Language Understanding, and GPT-3.5 Turbo, the Algo supply chain chatbot effectively comprehends and responds to queries related to supply chain-specific data and also engage in general chit chat. ✓ Azure CLU Training: (Azure Conversation Language Understanding Training Algorithm Automation) Implemented an algorithm that automates the generation of utterances by utilizing provided Measures, Entities, Filter types, and corresponding values provided in an Excel workbook. transform data into the required format, seamlessly passing through each step, interacting with CLU API, train, test, deploy and validate model automatically. ✓ Q/A on Tabular Data: (aiohttp based API for querying tabular data using Gen AI) Implement an API in aiohttp that takes excel or csv file from Front end automatically dump is Azure MySQL using pandas, SQL Alchemy to ensure effective database management and user memory retention after that Langchain custom agents created that use LLM to generate dynamic SQL query to extract data from database autonomously, process further in python if required and present to user the results in natural language format. ✓ Autocomplete for Algo: (Flask-based API for Data Extraction and Query Autocompletion) Developed an API using Flask to facilitate data extraction from a Business Excel workbook. Implemented tokenization of Business measures, filters, and supply chain-specific keywords to enable accurate and error-free query composition while interacting with the chatbot. The autocomplete functionality greatly simplifies the process of completing long keywords and phrases, enhancing user experience and productivity. ✓ Brands Scraper: (Automated Data Extraction and Analysis Script) An automated script that scrap more than 14 kids’ brands data and transform into four subcategories for prize and business analysis, for this project I have used selenium, requests, beautiful soup and multiple other libraries. ✓ Future Stroke Prediction: (Implemented an LSTM-based deep learning algorithm for Telespecialists LLC) LSTM-based deep learning algorithm that predicts strokes for the next 24 hours for Telespecialists LLC, these strokes are further used for blast probability calculation and help in Physician Scheduling. ✓ Data Analysis of Telespecialists LLC: In this project, the Telespecialist’s 4-year data of strokes and blasts is analyzed and a pipeline is created for automatic data fetching and analysis. Dynamic plots of plotly is used to visualize meaningful information in the data e.g optimal and required Base Credential Index (BCI), Physician count ratio according to the facility for each hour to minimize the blast ratio, etc. ✓ Face Mask Detection: A real-time Program that detects masks on the face and indicates users using text and color, build in Pythion using an artificial neural network through Keras and OpenCV. ✓ Traffic Signals Classification: Deep Learning based traffic signals classification program that classifies images of seven classes like speed limit, school, object marker, etc. classification is done after feature extraction, with an accuracy of 98%. Keras, TensorFlow, and scikit-learn libraries are used to complete the project. ✓ Automatic Amazon Crawler: Python program for crawling 20+ Amazon categories, extracting 10+ dynamic attributes per product. Scrapes over 200,000 data points with rotating user-agent and proxies using Requests, Scrapy, Beautiful Soup, and Pandas. ✓ Guide Pose: Computer Vision application for pose estimation, extracting multiple points in the human body to calculate joint angles and provide feedback on correct exercise form. Designed for homework and athlete users. ✓ Image Extractor: Program using face detection to separate images into desired and opposite face folders with TensorFlow, OS, and scikit-learn. ✓ Fake News Detector: NLP project utilizing logistic regression, NLTK, and scikit-learn for 97% accurate binary classification of news authenticity. ✓ Cats & Dogs Classification (Feature Extraction, Data Augmentation, Feature Visualization). ✓ Sentiment Analysis on IMBD dataset. Courses: ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ ✓ LangChain for LLM Application Development (deeplearning.ai) ChatGPT Prompt Engineering for Developers (deeplearning.ai) The Python Mega Course: Build 10 Real World Applications. Machine Learning A-Z™: Hands-On Python. Deep Learning with Python and Keras. Deep Learning and Computer Vision A-Z™. PIAIC Q4 AI on cloud: Amazon Sage maker e.g. Auto ML etc. Advance computer vision using Mediapipe in python. Neural Networks and Deep Learning by Andrew Ng. What is Data Science by IBM. Certifications ✓ What is Data science by IBM on Coursera. ✓ Neural Networks and Deep Learning by Andrew Ng on coursera.