Sreeja Shetty

Data Science Student focused on intelligent systems, AI workflows and developer-focused tooling.

Building practical software with interests in LLM applications, RAG systems, automation and modern AI infrastructure.

Projects

Saathi - cross-platform comparison workflow for food, travel, and shopping services

ML-powered platform with dedicated food, travel and shopping interfaces that compares pricing and recommendations across services like Swiggy, Zomato, Ola, Uber and Rapido based on user inputs such as location, destination and product queries.

Built around intelligent comparison workflows, pricing optimization and multi-platform aggregation to surface cheaper and more efficient choices in real time.

[Ongoing Project] — local-first retrieval workflow for AI systems

RAG-based AI workflow using Ollama and local LLM pipelines for contextual retrieval and intelligent response generation.

Focused on retrieval orchestration, local inference workflows and developer-oriented AI tooling.

Tech

Python • JavaScript • Tensorflow • NumPy • Pandas • PyTorch • FastAPI • django • SQL • Scikit-learn • OpenCV • Git • Github • RAG • Ollama • MCP • AI Agents • Prompt Engineering • Hugging Face

Current Focus

• AI systems and intelligent workflows
• RAG pipelines and retrieval systems
• Local-first AI tooling
• Backend systems for AI applications
• Developer-focused automation

Philosophy

Interested in building AI systems that are practical, efficient and genuinely useful.

Focused on learning in public, shipping consistently and building real-world projects over collecting credentials.

[LinkedIn]-(https://www.linkedin.com/in/sreeja-shetty-1b3711301)
[Gmail]-(sreejashetty01@gmail.com)