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WASHIM SHAIKH

Open to work0 years experience

Artificial Intelligence Engineer

Vijayapura, KarnatakaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Artificial Intelligence Engineer | AI/ML, Deep Learning, Computer Vision, Generative AI & Full Stack Developer

GitHub

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Skills & Technologies

57 skills
pythonjavascripttypescriptphpsqlhtmlcsstailwind cssreact.jsnext.jsbootstrapjqueryresponsive web designfastapiflaskdjangorest apisjsonapi integrationmysqlsqlitemongodbdbmsmldlnlptensorflowkeraspytorchcomputer visionscikit-learnxgboostfeature engineeringpandasnumpyedadata analysisdata preprocessingpredictive modelingdata visualizationgitgithubdockervs codejupyter notebookmicrosoft officepower bivision transformerimage processingfraud detectionobject detectionface recognitiongenerative airagprompt engineeringvibe codingllm applications

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Work Experience

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Projects

Face Recognition Attendance System

PythonOpenCVSQLiteMachine Learning
  • Developed an automated attendance management system using face recognition and computer vision techniques.
  • Implemented real-time facial detection, identification, and attendance recording with efficient data storage and retrieval.
  • Designed a structured software workflow integrating image processing, database management, and user-friendly operation.

OmniDetect AI

YOLOv8/v11PyTorchFastAPIOpenCVReact
  • Built a real-time multi-object detection platform using YOLOv8/v11 and SAHI, enabling accurate detection across diverse object categories.
  • Developed an asynchronous FastAPI backend with REST APIs and integrated it with a React-based frontend for seamless user interaction.
  • Optimized the inference pipeline for low-latency performance, scalable deployment, and real-time monitoring applications.

BrainScan AI – Brain Tumor Detection System

TensorFlowKerasCNNOpenCVFlask
  • Developed a deep learning-based CNN model to classify MRI scans as tumorous or healthy, supporting AI-assisted medical diagnosis.
  • Built a comprehensive image preprocessing pipeline including normalization, augmentation, and feature extraction to improve model performance.
  • Deployed the trained model through a Flask web interface for real-time prediction and confidence-based diagnostic support.

Financial Fraud Detection System

PythonXGBoostScikit-learnPandasFlaskChart.js
  • Developed an AI-powered fraud detection system using machine learning algorithms to identify suspicious financial transactions and minimize fraud risks.
  • Built an end-to-end ML pipeline including data preprocessing, feature engineering, model training, evaluation, and real-time prediction.
  • Deployed the solution through a Flask-based application with interactive analytics dashboards for intelligent monitoring and decision support.

Leaderboard Standings

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Assessment Highlights

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AI Collaboration Score

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Role Compatibility Profile

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About Details

Professional Bio

Aspiring Artificial Intelligence Engineer with hands-on experience in AI/ML, Deep Learning, Computer Vision, Generative AI, and Full Stack Development. Proficient in building intelligent applications, ML pipelines, and REST APIs using Python, TensorFlow, PyTorch, FastAPI, and OpenCV.

B.E. in Computer Science and Engineering in Computer Science and Engineering

BIT, Mangalore (VTU) (2022 - 2026)

Languages: English, Hindi
WASHIM SHAIKH - Profile | Swiftcruit