Open to opportunities

Mithil Baria UK

@mithilbariauk

Message

MSc Advanced Computer Science candidate and experienced software engineer specializing in AI-enabled backend systems.

United Kingdom

Message

What I'm looking for

I’m seeking roles building production-grade AI and backend systems with strong engineering practices, collaborative teams, and opportunities to lead ML-driven security or fraud-detection projects.

I am a software engineer with strong experience building Spring Boot microservices and Angular frontends, augmented by hands-on work in NLP and anomaly detection. I’ve deployed systems serving thousands of users, improved performance and test coverage, mentored junior developers, and contributed to published research on fake review detection.

My background spans end-to-end AI projects—transformer-based NLP, VAEs for unsupervised detection, and RAG-based developer tools—backed by cloud and DevOps practices. I seek to bring scalable, secure AI-driven solutions to production while continuing to grow in ML engineering and secure system design.

Experience

Work history, roles, and key accomplishments

Software Engineer

Wolters Kluwer

Aug 2022 - Jul 2025 (2 years 11 months)

Built and deployed Spring Boot microservices and Angular applications serving 15,000+ healthcare professionals, improving page load performance by 25% and maintaining 95%+ test coverage. Mentored two junior developers and resolved production issues using Grafana and application logs.

Spring Boot Angular Java Microservices Grafana CI CD Unit Testing

Software Developer

Philips Innovation Campus

Sep 2021 - Jul 2022 (10 months)

Developed REST APIs using Spring Boot for healthcare identity management and wrote 30+ BDD Gherkin tests to achieve 95% code coverage. Implemented OAuth2/JWT security patterns and contributed to API technical documentation.

Spring Boot Java REST APIs OAUTH2 JWT BDD Gherkin Test Automation Documentation

Associate Consultant

Infrasoft Technologies

Jul 2019 - Jan 2021 (1 year 6 months)

Developed backend modules for anti-fraud systems using Spring and Hibernate with MongoDB, optimizing queries to reduce average response time by 35%. Collaborated with senior developers to deliver client-facing financial application features.