Innovative and results-oriented engineer with a strong background in machine learning, web development, and software engineering. Experienced in developing and deploying deep learning models, enhancing computer vision platforms, and creating responsive web and mobile applications. Proven ability to work effectively in agile environments and collaborate with cross-functional teams to deliver high-quality solutions. Skilled in Python, React.js, and web technologies. Passionate about leveraging technology to solve real-world problems and drive innovation.
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Project: Automated Data Visualization with Google Generative AI
Client: Internal Project
Duration: Ongoing
Description:
Developed an application leveraging Google Generative AI to create automated data visualizations from user queries. The system generates SQL queries, corrects them recursively, and produces Python scripts for data visualization, improving user interaction with data and decision-making processes.
Role: Developer
Key Activities:
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Project: Investment Advisory Portal
Client: Internal Project
Duration: 3 Months
Description:
Developed an Investment Advisory Portal for financial advisors and clients, featuring plan creation, rebalancing, subscription services, and advisor-client interaction with live market data integration. Utilized AI to enhance user experience and efficiency.
Role: Software Engineer
Key Activities:
Capgemini
Machine Learning Intern
Dec 2021 – Mar 2022 (4 months)
Project: CVEF
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Khayaal Foundation
Technical Intern
May 2022 – Jun 2022 (2 months)
Project: Developing Main Website
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Automated Waste Classification System
Publication: