Key Responsibilities:
Develop and implement advanced Machine Learning and Generative AI (GenAI) solutions on the Microsoft Azure platform to address client-specific business challenges with precision and innovation.
Leverage Azure’s AI and cloud ecosystem—including Azure Machine Learning, OpenAI Service, and Cognitive Services—to build, deploy, and manage ML and GenAI models at scale.
Optimize model performance and cost efficiency by utilizing Azure cloud resources strategically, ensuring scalability, reliability, and operational excellence.
Stay at the forefront of advancements in Machine Learning, Generative AI, and cloud computing to design and deliver cutting-edge solutions aligned with Microsoft’s evolving technology landscape.
Mentor and collaborate with team members, sharing expertise in ML, GenAI, and Azure technologies to foster a culture of innovation, technical excellence, and continuous learning.
Key Responsibilities:
Designed and implemented LLM and NLP models to process large text datasets.
Built and managed data pipelines and vector databases for LLM deployment.
Presenting findings and insights to technical & non-technical stakeholders.
Conducted peer reviews of NLP models, code, and research.
Key Responsibilities:
Investigate machine learning algorithms and approaches to solve AI problems.
Developed visualizations to interpret and present ML model results clearly.
Prepared detailed reports on ML model results and performance.
Key Responsibilities:
Investigated various machine learning algorithms and models for covid-19 medical image classification.
Collected and preprocessed covid-19 medical images for use in training and testing models.
Collaborated with team members to discuss research findings and ideas.
Key Responsibilities:
Conduct research projects applying machine learning techniques to real-world domains.
Explore and evaluate machine learning algorithms and methodologies to address AI challenges.
Write scientific reports to document research findings and experimental results.
Author and co-author research papers, publishing in top-tier journals, and present findings at academic conferences.
Key Responsibilities:
Supported AI and Probability courses through lectures, tutorials, and student guidance.
Managed preparation and grading of assignments and exams.
Provided academic assistance during office hours.
Key Responsibilities
Conducted research on information retrieval systems leveraging deep learning techniques.
Investigated data mining methods to support healthcare decision-making.
Analyzed experimental data and contributed to the preparation of research publications.
Collaborated with researchers to advance project objectives and achieve research outcomes.
Participate in Projects:
Titanic: Machine Learning from Disaster.
Minist Dataset: Digit Recognizer.
House Prices: Advanced Regression Techniques.
Real or Not? NLP with Disaster Tweets.
Categorical Feature Encoding Challenge II.
Santander Customer Transaction Prediction.
Key Responsibilities
Published book chapters focusing on machine learning and deep learning techniques.
Contributed to the dissemination of knowledge through research publications.
Collaborated effectively within a research team to advance project objectives.