Professional Overview
Software engineer building AI powered developer tools and B2B SaaS products. Currently working with Noxyn for keeping APIs, SDKs and docs in sync, TryOz for code/documentation retrieval using hybrid search and reranking, and worked on production backend systems using Node.js, Python, PostgreSQL, Redis and RabbitMQ.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Building OZ, a version-aware documentation and integration layer for developers
- Designing systems for SDK docs, API references, and MCP-ready context
- Creating tooling that helps developers ship integrations faster
Key Achievements / KPIs
- Built hybrid retrieval with vector search, BM25, RRF, and reranking.
- Developed pipelines for ingesting, chunking, and indexing code and docs
AI Expertise
Skills
Employment Type
Education
Field of Study: Artificial Intelligence and Data Science
Areas of Expertise
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
