Backend Engineer with 5 years of experience building scalable APIs, AI-powered automation tools, and containerized applications. Focused on LLM systems, retrieval architectures, backend infrastructure, and practical machine learning applications.
- Node.js
- TypeScript
- Python
- Django REST Framework
- Flask
- FastAPI
- PostgreSQL
- OpenAI APIs
- Ollama
- ChromaDB
- Milvus
- Agentic RAG Applications
- Vector Databases
- scikit-learn
- pandas
- NumPy
- OpenCV
- NLP
- Docker
- Docker Compose
- Linux
- GitHub Actions
- Vue.js
- Bootstrap
- React
Retrieval-based AI assistant using vector databases, embeddings, and local LLM inference.
Utility for migrating and managing persistent ChromaDB collections across environments.
Automated GitHub pull request review system using local LLMs and AI-assisted code analysis.
Machine learning project developed using Python and Jupyter Notebook.
-
Deep Learning Specialization — Coursera
-
Continuous learning in:
- AI Engineering
- Backend Architecture
- Retrieval Systems
- Local LLM Infrastructure
Working on backend systems, APIs, AI integrations, and scalable application development.
Cuelogic Technologies (now part of LTIMindtree)
- LinkedIn: https://www.linkedin.com/in/akshatz/
- GitHub: https://github.com/akshatz