I’m a software engineer and AI-focused developer with 15+ years of experience building scalable backend systems, data platforms, and intelligent applications.
My current work is heavily centered around Artificial Intelligence, LLMs, and automation-driven architectures.
I enjoy combining AI + strong engineering fundamentals to solve complex, real-world problems—especially in data-heavy and enterprise-scale environments.
I focus on practical AI implementations that deliver measurable value.
- AI-powered assistants & agents for business workflows
- LLM-based systems for reasoning, validation, summarization & decision support
- RAG (Retrieval-Augmented Generation) over structured & unstructured data
- AI-driven automation for data processing and quality checks
- Intelligent APIs that integrate AI into existing platforms
- Semantic search & vector-based retrieval systems
- Large Language Models (LLMs) – cloud & local models
- Embeddings & Vector Databases
- Agent-based AI architectures
- Prompt engineering & evaluation
- AI integration via REST APIs
My AI work is backed by deep experience in backend engineering and data systems, which helps me build production-ready AI solutions, not just prototypes.
- Data modeling & system design
- Business rules & validation engines
- High-volume data ingestion & transformation
- Performance optimization & scalability
- API-first architecture & integrations
- Automation & deployment pipelines
Languages:
Java, Python, PHP, JavaScript (Angular)
AI & Data:
LLMs, RAG pipelines, Vector Search, SQL & NoSQL databases
Frameworks & Tools:
FastAPI, REST APIs, Git, CI/CD, Docker, Jenkins
Practices:
Clean architecture, Agile/Scrum, automation-first development
- Advanced AI agents & orchestration
- Multi-agent collaboration patterns
- AI-powered data governance & monitoring
- Scaling RAG systems for large datasets
- AI-first backend systems
- LLM-powered applications
- Automation-heavy platforms
- Open-source AI & data tools
- 📧 Email: dilip.godhani@ibm.com
- 🌐 GitHub: https://github.com/dilipgodhani
💡 I believe the future belongs to engineers who can blend AI, data, and solid system design into reliable, scalable solutions.