Mohammad Raza

Mohammad Raza

$45/hr
Artificial Intelligence | Machine Learning | NLP | Deep Learning | Generative AI
Musketeers Tech (Private) Limited
Reply rate:
50.0%
Availability:
Full-time (40 hrs/wk)
Age:
27 years old
Location:
Lahore, Punjab, Pakistan
Experience:
3 years
Mohammad Raza AI / ML Engineer Lahore, Pakistan github.com/emraza1 PROFILE Experienced AI/ML Engineer with a strong background in developing and deploying advanced machine learning models and algorithms. Skilled in data preprocessing, feature engineering, and model selection to solve complex business problems. Proficient in Python, TensorFlow, and PyTorch, with expertise in deep learning architectures and natural language processing. Strong problem-solving and analytical skills, coupled with a keen eye for detail, to deliver accurate and efficient solutions. Proven track record of successfully implementing AI/ML projects and driving innovation. Committed to continuous learning and staying up-to-date with the latest advancements in the field. EDUCATION 2018 – 2022 Islamabad, Pakistan Bachelors in Computer Sciences Fast NUCES PROFESSIONAL EXPERIENCE 04/2022 – present Lahore, Pakistan Musketeers Tech Artificial Intelligence Team Lead Developing ETL data pipelines using Pandas, PostgreSQL, MongoDB. NLP (GPT-NeoX), Object Detection (YOLO), OCR Model training and fine tuning on Google Cloud Vertex AI Workbench. Taking AI/ML experimental projects to production. Model Deployment on AWS EC2 with Nginx and PM2 Configuration. Chatbot Development & Long document QA using Rasa, spaCy, haystacks and Transformers. Responsible for training team members, setting training strategy and monitoring progress towards goals. Skills: EC2 · Vertex AI Workbench · PM2 · FastAPI · Object Detection · Chatbot Development · Employee Training • • • • • • 08/2019 – 03/2022 Islamabad, Pakistan AIM (Artificial Intelligence & Machine Learning) Lab ML Engineer Creating Machine Learning Pipelines for Time Series, Tabular, Images, Text Data. Multi-modal model training and deployment. Developing Interpretable systems using Knowledge Graph. • • • Technology stack: Python (pytorch, tensorflow, keras, darts, fbprophet, opencv, transformers), SPARQL, Docker. Skills: Machine Learning · Natural Language Processing (NLP) · Computer Vision · MLOps · Data Mining · Data Science · Data Engineering · Knowledge Graphs SKILLS Back-End Development Databases: Firebase Cloud Firestore, Microsoft SQL Server, MongoDB, Amazon DynamoDB, Firebase Realtime Database, PostgreSQL, Redis. Back-End Development Skills: Django, Git, RESTful Architecture, Content Management System, Docker, Bitbucket, Amazon Web Services, Flask, FastAPI Web Servers: NGINX, Apache HTTP Server. Back-End Programming Languages: GraphQL, SQL, Python, Rust, TypeScript. Other Skills: Stripe API, ExpressJS, spaCy, Bash, Node.js, NestJS, Stripe. Machine Learning / Artificial Intelligence Machine Learning Methods: Computer Vision, Supervised Learning, Neural Network, Feature Extraction, Unsupervised Learning, Natural Language Generation, SemiSupervised Learning, Reinforcement Learning, Natural Language Processing, Deep Learning, Deep Neural Network, Artificial Neural Network. Machine Learning Techniques: Decision Tree, Cluster Computing, Logistic Regression, Support Vector Machine, Classification, Word Embedding, Linear Regression, Random Forest, Anomaly Detection, Gradient Boosting, Bayesian Statistics, Autoencoder, Principal Component Analysis. Machine Learning Deliverables: Machine Learning Model, Model Optimization, Recommendation System, Chatbot, Model Tuning, Software Maintenance, Data Science Consultation, Machine Learning, Data Science. Machine Learning Tools: BERT, Google AutoML, PyTorch, NLTK, Keras, TensorFlow, NumPy, SciPy, Amazon SageMaker, XGBoost, Tesseract OCR, fastText, pandas, OpenCV, Python, Scikit-Learn. Machine Learning Languages: R Python C++ Other skills: Deep Learning Modeling, Knowledge Representation. Front-End Development ReactJS, HTML 5, CSS 3, Bootstrap, Tailwind CSS. PROJECTS Znorkel AI-Based Web-Application Report Generation Customer segmentation using K-Means and Forecasting segment sales using darts, fbprophet. Automatic Receipt scanning and parsing using MM-OCR and LayoutLMv3 Chhotay AI-Based Web Application integrated with Whatsapp API Games (snake, pacman, centipede on OpenGL, Chess game using Minimax with Alpha-Beta Pruning and Tkinter). Imran Khan Bot AI-Based Mobile Application Modified Radix Sort research paper implementation Custom bash OS terminal Bidmate AI-Based Web Application & Chrome Extension Exam Scheduler using Genetic Algorithm Lawyer Documents OCR AI-Based Web Application School Management System Using ReactJS, NodeJS, ExpressJs & Oracle 11g. Data Profiling and Generating Insights of a Pharmacy for classification Using SQL, Data preprocessing, Feature Selection using PCA and Classification using KNN and Neural Network. YOLO from scratch Customer Segmentation and Sales Forecasting Artificial Intelligence Emotion Analyzer AI-Based Web Application Tarot Cards AI-Based Web Application Text Summarization Using GPT-3 Used GPT-3 to generate Headlines, Pegasus NLP Model for Text Summarization and T5 NLP Model for paraphrasing. Desktop App for Book Supply POS system (SQLite3 and QT for Python) Virtual Try-On Artificial Intelligence Document AI AI-Based Web Application Contactless Biometric Verification System (Face recognition using facenet & Voice recognition on MFCC features) Multi Model Meme Analyzer AI-Based Web Application Knowledge graph-based Word Set generation Podcast Creator AI-Based Web Application Content Engine (Tiktok/Youtube) AI-Based Web Application PDF Summarizer AI-Based Web Application Text to Story Artificial Intelligence Noonan app AI-Based Mobile Application Job Recommandor AI-Based Web Application Personal Statement AI AI-Based Web Application German Chatbot Artificial Intelligence Contactless Biometric System Artificial Intelligence Text to Slides Artificial Intelligence LANGUAGES English Urdu
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