Title of the talk
Engineering AI Systems, Not Just Models
Description
Hi,
I would like to propose a talk for the upcoming event.
🧠 Topic:
Engineering AI Systems, Not Just Models
🎯 What I’ll Cover:
- Why modern AI products fail after the demo stage
- The shift from model-centric AI to system-centric AI engineering
- Building production-ready AI systems using RAG, vector databases, memory, and orchestration
- Common challenges in real-world AI applications like hallucinations, latency, retrieval failures, and scaling
- Tools and technologies used in modern AI workflows (Python, FastAPI, vector DBs, LLM frameworks, Docker, etc.)
- Key insights for developers interested in building practical AI systems
💡 Why This Talk:
Today, building AI applications is no longer just about using powerful models — it’s about engineering reliable, scalable, and intelligent systems around them. This talk focuses on the practical side of AI engineering and explores how modern AI products are designed for real-world use cases.
⏱️ Duration:
~15 minute
:
Table of contents
Table of Contents
- Why AI products fail after the demo stage
- The shift from model-centric to system-centric AI
- Architecture of modern AI systems
- Retrieval-Augmented Generation (RAG)
- Vector databases and semantic retrieval
- Memory systems in AI applications
- Tool calling and orchestration frameworks
- AI evaluation and hallucination monitoring
- Inference optimization and latency challenges
- Scaling AI systems in production
- Key lessons from real-world AI engineering
- Future trends in AI infrastructure and systems design
Duration (including Q&A)
~15 minute
Prerequisites
Basic understanding of:
- Python
- APIs and backend systems
- Machine Learning / AI fundamentals
- Familiarity with LLMs or generative AI concepts is helpful but not mandatory
No software setup is required for attendees.
Speaker bio
Shreya Salve is an AI systems builder focused on machine learning, LLM orchestration, and scalable AI infrastructure. She builds intelligent workflows and automation systems using modern AI tooling and CLI-driven development environments. She is also a member of the United Nations UNEP GPML community and actively contributes to developer and student innovation ecosystems.
The talk/workshop speaker agrees to
Title of the talk
Engineering AI Systems, Not Just Models
Description
Hi,
I would like to propose a talk for the upcoming event.
🧠 Topic:
Engineering AI Systems, Not Just Models
🎯 What I’ll Cover:
💡 Why This Talk:
Today, building AI applications is no longer just about using powerful models — it’s about engineering reliable, scalable, and intelligent systems around them. This talk focuses on the practical side of AI engineering and explores how modern AI products are designed for real-world use cases.
⏱️ Duration:
~15 minute
:
Table of contents
Table of Contents
Duration (including Q&A)
~15 minute
Prerequisites
Basic understanding of:
No software setup is required for attendees.
Speaker bio
Shreya Salve is an AI systems builder focused on machine learning, LLM orchestration, and scalable AI infrastructure. She builds intelligent workflows and automation systems using modern AI tooling and CLI-driven development environments. She is also a member of the United Nations UNEP GPML community and actively contributes to developer and student innovation ecosystems.
The talk/workshop speaker agrees to
Share the slides, code snippets and other material used during the talk
If the talk is recorded, you grant the permission to release
the video on PythonPune's YouTube
channel
under CC-BY-4.0
license
Not do any hiring pitches during the talk and follow the Code
of
Conduct