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Trinath SwainTS
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Trinath Swain

@trinathswain

Full-stack software engineer specializing in web applications and machine learning.

India
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What I'm looking for

I seek a role building scalable full-stack products that integrate ML, emphasize performance and security, and offer growth in system design and cloud-native engineering.

I am a full-stack software engineer with strong expertise in building scalable web applications, secure authentication systems, and AI-driven predictive models. I apply solid data structures, algorithms, and system design principles to deliver reliable, high-performance solutions.

My projects include a MERN-based AI study assistant with JWT authentication and a real-time chat interface, and an AI-based test case prioritization model that achieved 98.06% classification accuracy on NASA defect datasets. I optimize backend performance, reduce latency, and improve UI responsiveness through focused engineering and iterative refinement.

I work across frontend and backend technologies, cloud platforms, and ML frameworks, and I value maintainable code, reproducible ML workflows, and scalable architecture. I seek opportunities where I can contribute to impactful products while continuing to grow in full-stack and ML engineering.

Experience

Work history, roles, and key accomplishments

SE

Software Engineer

Self Employed

Built full-stack web applications and AI-driven predictive models, implementing secure JWT authentication and optimizing APIs to reduce latency by 60% and improve UI response time by 35%. Developed a test-case prioritization ML model achieving 98.06% accuracy and reducing false positives by 22%.

Education

Degrees, certifications, and relevant coursework

CU

C.V. Raman Global University

Bachelor of Technology, Computer Science

2021 - 2025

Grade: 8.56

Bachelor of Technology in Computer Science completed with a CGPA of 8.56 from June 2021 to May 2025.

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