AI/ML Engineer with hands-on experience in building, deploying, and monitoring machine learning models for real-world applications.
Built and optimized machine learning models and inference pipelines for real-world AI applications.
Designed data handling workflows including data cleaning, transformation, and validation for ML readiness.
Deployed AI systems using Django REST APIs, integrating models into production environments.
Monitored model performance and improved outputs through iterative tuning and preprocessing updates.
Collaborated with product and backend teams to align AI outputs with business requirements.
Built and optimized machine learning models and inference pipelines for real-world AI applications., Designed data handling workflows including data cleaning, transformation, and validation for ML readiness., Deployed AI systems using Django REST APIs, integrating models into production environments., Monitored model performance and improved outputs through iterative tuning and preprocessing updates., Collaborated with product and backend teams to align AI outputs with business requirements.
Developed responsive web applications using HTML, CSS, and Django.
Built RESTful backend APIs for CRUD operations and data processing.
Integrated frontend components with backend logic and relational databases.
Improved API response handling and ensured clean modular architecture.
Developed responsive web applications using HTML, CSS, and Django., Built RESTful backend APIs for CRUD operations and data processing., Integrated frontend components with backend logic and relational databases., Improved API response handling and ensured clean modular architecture.
Worked on real-world ML and analytics projects., Performed EDA, statistical analysis, and feature engineering., Trained and evaluated ML models using Scikit-learn and TensorFlow., Generated insights using SQL-based data extraction and analysis.
Worked on real-world ML and analytics projects.
Performed EDA, statistical analysis, and feature engineering.
Trained and evaluated ML models using Scikit-learn and TensorFlow.
Generated insights using SQL-based data extraction and analysis.
• Built an end-to-end data science pipeline combining market and sentiment data.• Performed feature engineering on time-series and NLP-based inputs.• Trained ML models achieving 78% accuracy for trend prediction.
• Built a real-time ML pipeline for multilingual text-based threat detection.• Implemented FastText and BiLSTM models for intent classification.• Engineered text preprocessing, feature extraction, and evaluation pipelines.• Deployed inference services using Django REST Framework for app and IoT integration.
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