I build modern, scalable applications with React JS and AWS, design cloud-powered customer experiences with Amazon Connect, and apply Machine Learning to transform data into actionable insights. I’m passionate about solving real-world problems through technology and building solutions that are intuitive, scalable, and impactful.
Work Experience
Tata Consultancy ServicesNov 2025 - Current
Systems Engineer
Completed ILP (Initial Learning Program) with hands-on training in Java, Spring Boot, AngularJS, CSS, JDBC, SQLite, and H2 Database, along with practical exposure to Agile methodologies and software development practices.
Currently working as an Amazon Connect Developer, developing and supporting cloud-based contact center solutions using AWS services, including Amazon Connect, Amazon Lex V2, AWS Lambda, Amazon DynamoDB, and Amazon Kinesis.
My experience includes building serverless solutions, conversational AI workflows, contact center integrations, and event-driven applications while following Agile development practices.
Inopro SolutionsOct 2025 - Nov 2025
Product Development Intern
Worked as a Product Development Intern, and contributed to the design and implementation of web applications using Next.js, React, Python.
Integrated AI/ML features into the product, including predictive analytics and recommendation systems to enhance user experience.
Built and optimized APIs, managed database interactions (SQL/NoSQL), and ensured responsive, scalable, and maintainable front-end architectures.
AccentureMay 2024 - July 2024
Packaged App Development Associate
Underwent comprehensive technical and functional training, building a strong foundation across multiple enterprise IT areas.
Contributed to live project tasks within the Supply Chain Management space, gaining practical experience with industry-standard tools and workflows.
Studies
Sri Krishna College of Technology2021 - 2025 • 8.26 CGPAB.Tech Artificial Intelligence and Data Science (Hons.)
Hillock International School2020-2021 • 93%Higher Secondary Education
Gained foundational knowledge of AI, Machine Learning, and Generative AI concepts, including their practical applications and use cases.
Developed an understanding of AWS AI and Machine Learning services, including Amazon Bedrock, Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend.
Learned key concepts related to Generative AI, foundation models, responsible AI, prompt engineering, and the lifecycle of AI solutions on AWS.
Gained foundational knowledge of Claude and Generative AI concepts, including how large language models can be applied to real-world business and productivity use cases.
Learned effective prompting techniques and best practices for working with Claude to generate, analyze, summarize, and transform content.
Developed an understanding of responsible AI practices, including safety, privacy, appropriate use, and human oversight when working with Claude.