• Developed an intelligent multi-agent system utilizing Azure OpenAI and LLAMAIndex for enhanced content analysis and decision-making.

• Engineered a fault-tolerant architecture achieving 99.98% uptime and reduced production incidents by 76%.

• Implemented a comprehensive MLOps pipeline with AWS SageMaker, cutting model deployment time from two weeks to three hours.

• Developed and fine-tuned cutting-edge GenAI models for text and image generation, enhancing business applications.

• Engineered a GenAI-powered knowledge assistant utilizing a semantic RAG architecture, achieving high accuracy in domain-specific queries.

• Created a personalized fitness recommendation engine, improving user engagement and prediction accuracy through advanced machine learning techniques.

• Designed and delivered ML-driven banking solutions for customer analytics, risk assessment, and operational intelligence.

• Developed predictive analytics models for customer churn and risk scoring using structured banking data.

• Implemented CI/CD pipelines and established model monitoring to ensure reliability and compliance with regulations.

• Designed and developed a comprehensive website UI using HTML, CSS, and JavaScript, enhancing user experience.

• Developed both frontend and backend modules with Python on the Django framework, ensuring robust functionality.

• Successfully migrated the Django database from SQLite to MySQL, maintaining complete data integrity throughout the process.