• Spearheaded research on emerging tech trends, increasing project efficiency by 65%.• Engineered scalable web scraping engine using Selenium on AWS Lambda, contributing 500+ lines of code .• Automated workflows saving over 100 hours per month.• Communicated technical concepts to non-technical stakeholders, reducing project transition time by 25%

• Fine-tuned various LLMs using their APIs and AWS Bedrock, achieving over 95% accuracy in due diligence checklists.• Utilized Next.js and TypeScript for frontend development, improving user interface responsiveness by 40%• Implemented Docker for containerization and deployed applications through ECS Fargate, reducing deployment time by50%

• Designed and developed over 1200 MCQs across 5 subject areas, improving student engagement by 30% and increasingtest scores by an average of 15%.

AWS ML Developer Expertise: Specialized in leveraging AWS services, particularly Amazon SageMaker, for developing and deploying machine learning models at scale. This included optimizing ML workflows and ensuring models were production-ready.Proficiency in CNN and PyTorch: Demonstrated deep knowledge in Convolutional Neural Networks (CNNs) for image recognition and other computer vision tasks, utilizing PyTorch for model development and training. This expertise was applied in various… Show more AWS ML Developer Expertise: Specialized in leveraging AWS services, particularly Amazon SageMaker, for developing and deploying machine learning models at scale. This included optimizing ML workflows and ensuring models were production-ready.Proficiency in CNN and PyTorch: Demonstrated deep knowledge in Convolutional Neural Networks (CNNs) for image recognition and other computer vision tasks, utilizing PyTorch for model development and training. This expertise was applied in various projects, ranging from image classification to more complex vision-based applications.Global Client Collaboration: Worked with clients worldwide on Django web development projects, ensuring their needs were met from conceptualization to deployment. This involved customizing web applications to support ML model integrations seamlessly.Educator in ML and Cloud Technologies: Taught international students the fundamentals and advanced concepts of ML development on AWS, including practical sessions on SageMaker for model building, training, and deployment, fostering a new generation of cloud-savvy ML developers.Project Management and Implementation: Successfully managed multiple projects by adhering to best practices in design and implementation, ensuring the delivery of high-quality, scalable, and efficient solutions to meet diverse client requirements. Show less

• Became 2x AWS certified: Earned Machine Learning - Specialty and AWS Certified Developer - Associate certificationsduring the internship period, demonstrating advanced proficiency in AWS technologies.

Committed to leveraging my passion for technology to drive the club's progress and community engagement.

Produced articles in both Hindi and English, catering to a diverse readership and promoting knowledge sharing.Ensured high-quality content that aligned with the app's objective of providing comprehensive and informative resources.Collaborated with a team to cover a wide array of topics relevant to the interests and needs of the Indian population.Contributed to promoting learning, awareness, and cultural understanding through engaging and informative written content.