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Soubhagya Nayak

@soubhagyanayak

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Full Stack Engineer with expertise in web applications and AI features.

India

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What I'm looking for

I am seeking a role that fosters innovation, collaboration, and growth opportunities in technology.

I am a Full Stack Engineer with 3 years of experience in building high-performance web applications and integrating AI-powered features. My journey has been marked by a commitment to creating user-centric solutions and collaborating with cross-functional teams to optimize workflows through machine learning.

At TCG Digital, I played a pivotal role in core product development, where I designed and developed reusable UI components using React.js and Next.js, significantly improving UI performance. I also led the implementation of key product features and established CI/CD pipelines, ensuring seamless deployment and adherence to industry best practices.

My internship at Ineuron.ai allowed me to delve into machine learning, where I developed end-to-end systems that processed millions of data points. I am passionate about leveraging technology to drive efficiency and innovation in every project I undertake.

Experience

Work history, roles, and key accomplishments

Software Developer

TCG Digital

Feb 2022 - Present (3 years 5 months)

Collaborated with a U.S client to deliver core product development and system enhancements in an Agile environment. Designed and developed reusable UI components (e.g., nested breadcrumbs, pagination, dynamic forms) using React.js and Next.js, improving UI performance by 80%. Led the implementation of key product features and established CI/CD pipelines for seamless deployment following industry b

React Next.js Redux Microservices REST APIs CI CD Agile Adobe Experience Manager PostgreSQL

Machine Learning Intern

Ineuron.ai

Aug 2021 - Nov 2021 (3 months)

Gained experience developing end-to-end machine learning systems, from requirement analysis to data collection and implementation of feature engineering techniques. Designed and deployed gradient boost models, processing 2M+ rows of customer data to reduce manual prediction time by 70%.

Machine Learning Gradient Boosting Data Collection Python scikit learn Pandas NumPy

Education

Degrees, certifications, and relevant coursework

C.V Raman Global University

B.Tech, Computer Science and Information Technology

2018 - 2022

Completed a Bachelor of Technology in Computer Science and Information Technology. Gained foundational knowledge and practical skills in various aspects of computer science.