• Contributed to the development of AI-powered solutions, including the ELX Chatbot, which utilized Large Language Models (LLM) for dynamic customer interactions and personalized user responses in eCommerce platforms.• Focused on data organization, cleanup, and the integration of the ChatGPT API to enhance the chatbot’s natural language processing (NLP) capabilities, resulting in a 25% improvement in response accuracy.• Optimized large datasets for feature extraction and data preprocessing, providing data-driven insights that led to significant improvements in traffic and sales.• Demonstrated proficiency in JavaScript libraries and frameworks for web applications like React Js, Next Js, TypeScript, and Angular.• Utilized Figma and Adobe XD to convert high-fidelity designs into responsive web pages.• Utilized vanilla JavaScript and CSS to implement A/B tests and variations, ensuring seamless user experiences and data accuracy.• Implemented event tracking and analytics using JavaScript to collect data for A/B testing, enabling data-driven decision-making.• Worked in collaboration with the DRIP Agency and their German partners such as Hoffman, Kickz, Blackroll, and Newshades and more.• Implemented event tracking and analytics using JavaScript to collect valuable data for A/B testing, enabling data-driven decision-making.• Worked closely with UX/UI designers to implement JavaScript-driven design changes based on A/B test results, resulting in improved user interface and user experience. • Utilized tools such as Optimizely, Convert, VWO, and Adobe Target to run experiments, leading to a 20% improvement in site performance and user experience.• Analyzed test results and provided actionable insights, leading to data-driven changes that boosted eCommerce sales by 18%

• Developed feature-rich Learning Management Systems (LMS) using React and incorporating various tools such as Redux for state management, Axios for handling HTTP requests, Firebase for real-time data storage, Webpack for module bundling, and more.• Designing comprehensive training programs that integrate software engineering, web development, and machine learning. These programs cover Agile methodologies, version control with Git, project management with JIRA, and collaboration tools like Slack. They include front-end tools like HTML, CSS, JavaScript, and frameworks like React, along with machine learning techniques such as data preprocessing, model development, and deployment using Docker and cloud platforms. This approach ensures a well-rounded skill set that bridges development and data science. • Staying updated with the latest advancements in the field, exploring new frameworks, libraries, and tools, and incorporating them into the training programs to ensure their relevance and effectiveness.• Collaborating with instructors, trainers, and experts to ensure accurate and relevant course content through reviews, expert input, industry research, curriculum enhancement, feedback incorporation, and instructional design support.

• Followed Agile practices such as Scrum, participating in daily stand-up meetings, sprint planning, sprint reviews, and retrospectives to enhance collaboration, adaptability, and delivery efficiency. • Utilized version control systems like Git to manage source code and facilitate collaboration among team members.• Designed interfaces using React JS, JavaScript, Bootstrap, and Material UI.• Collaborated with UX/UI designers to create intuitive & user-friendly interfaces, focusing on usability, accessibility & user experience.• Implemented database management systems (PostgreSQL) for efficient data storage and retrieval, ensuring data integrity &performance.• Developed and integrated RESTful APIs to enable communication between front-end and back-end systems, and facilities.• Implemented CI/CD pipelines to automate the build, testing, and deployment processes, ensuring frequent and reliable software releases.• Conducted comprehensive testing, including unit testing, integration testing, and user acceptance testing (UAT), to ensure the quality & reliability of the software.• Automated enterprise web applications like Learning Management System (LMS), Student Management System (STMS), and Employee Management System (EMS).

• Participated in training sessions, workshops, and hands-on exercises to stay updated & deepen skills in machine learning, web development, & cyber security, covering areas such as data analysis, model development, and web frameworks.• Conducted R&D on CNN models, exploring advancements in image classification, object detection, and semantic segmentation, experimenting with different techniques to improve performance.