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Johann Alvares

@johannalvares

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Software Engineer focused on AI code validation, LLM-backed tooling, and full-stack application delivery.

India

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What I'm looking for

I’m looking for roles where I can build AI-powered engineering tools—validating code, improving LLM performance, and shipping full-stack features. I’m open to remote, hybrid, and relocation, and I thrive in teams that value testing, reviews, and maintainable documentation.

I’m a Software Engineer specializing in AI training and automation, building Python/JavaScript tools that validate AI-generated code and improve LLM reasoning, code quality, and model performance. In my contract role, I standardized workspace components, led design doc specifications and code reviews, and helped strengthen reliability across large engineering workloads.

Previously, I worked as a Machine Learning Intern, developing conversational AI backends with Python and LangChain. I integrated intent recognition, vector-based knowledge retrieval, and REST APIs, and I built NLP pipelines using RoBERTa and Random Forest to extract critical entities from unstructured text.

I value clean, maintainable engineering and strong collaboration through code reviews, documentation, and testing. From full-stack implementations to React/Node feature work and Jest/Swagger improvements, I focus on shipping reliable outcomes while continuously iterating on AI-powered workflows.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer - AI Training

Current

Invisible Technologies

Apr 2024 - Present (2 years 3 months)

Built Python and JavaScript automation tools to validate AI-generated code, reducing model failure rates by 30% across 800+ software engineering tasks. Standardized workspace components across enterprise modules with zero regressions and led system design documentation and code reviews for a squad of 4 engineers.

Python JavaScript TypeScript SQL Next.js Code Review System Design Technical Documentation

Machine Learning Intern

P360

Jul 2023 - Sep 2023 (2 months)

Built conversational AI backends with Python and LangChain, integrating intent recognition, vector-based knowledge retrieval, and REST APIs. Developed and deployed automated NLP pipelines using RoBERTa and Random Forest to extract entities from unstructured text, improving data processing accuracy.

Python Lang Chain RoBERTa Random Forest Pandas NumPy scikit learn Conversational AI REST APIs

Software Engineering Intern

P360

Aug 2022 - Jun 2023 (10 months)

Developed and shipped internal features using React and Node.js, writing maintainable code for production environments. Resolved 30+ Jira tickets spanning backend performance and UI bugs, and improved code quality by expanding test coverage with Jest and documenting REST APIs with Swagger.