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@anushauser1

Entry-level system engineer building Spring Boot APIs and AI/NLP solutions.

India
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What I'm looking for

I’m looking for an entry-level role where I can build reliable Spring Boot backends and contribute to AI/NLP features, learn best practices in API design and microservices, and grow through real product impact and mentoring.

I’m a System Engineer Intern at Infosys, where I build RESTful backend services with Spring Boot and Java and develop frontend components using React with TypeScript. I’m focused on enterprise-grade API design, authentication basics, and microservice architecture fundamentals, while working in Git-based collaborative workflows.

Previously, I interned at GetProductSuccess (Remote), developing Python-based REST APIs for a feature prioritization platform and implementing scoring algorithms using usage metrics, customer feedback, and impact–effort analysis. I’m also actively building NLP and GenAI projects like EchoSnap (real-time misinformation detection) using Flask and Streamlit, and Sankalp App (adaptive learning) with React, TypeScript, and Supabase.

Experience

Work history, roles, and key accomplishments

GE

Intern - Python Backend

GetProductSuccess

Jul 2025 - Aug 2025 (1 month)

Developed Python-based REST APIs for PriorityAI, processing structured and unstructured product data to support feature prioritization. Implemented scoring and impact–effort analysis for feature ranking, built explainable outputs, and optimized backend data pipelines to improve response times for real-time analysis.

Education

Degrees, certifications, and relevant coursework

SD

SDMCET

Bachelor of Engineering, Artificial Intelligence and Machine Learning

2022 - 2026

Grade: 8.7/10

Activities and societies: Projects: EchoSnap (real-time misinformation detection) and Sankalp App (adaptive learning). Achievements: Top 25 finalist—TruthTell Hackathon; State-level finalist—Karnataka CatalyseTech.

B.E. in Artificial Intelligence and Machine Learning at SDMCET (Dec 2022–2026). Completed coursework and AI/ML-related project work including NLP and GenAI applications.

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