Open to opportunities

Sable Dayaram

@sabledayaram

Message

I build cloud-native AI applications using LLMs, RAG pipelines, data engineering, and Python.

India

Message

What I'm looking for

I'm looking to build cloud-native AI and data solutions that solve real business problems, collaborating with product managers and engineers while growing through end-to-end ownership, agile delivery, and applied LLM, RAG, and data engineering work.

I'm building scalable AI-powered applications at GlobalLogic, integrating LLMs and RAG pipelines with Python, LangChain, FAISS, ChromaDB, FastAPI, and Streamlit.

Previously at Hubverse, I developed machine learning models for real-world business problems, from dataset preparation and exploratory analysis through feature engineering, evaluation, visualisation, and web application integration. I worked closely with developers and cross-functional teams in an agile startup environment.

I've owned end-to-end AI and data projects, including a cloud-native finance analytics platform that combines LLM-powered insights, SQL data modelling, FastAPI, PostgreSQL, and Power BI dashboards. I also built an AI Resume Optimizer and an enterprise document Q&A system with agentic workflows, semantic search, embeddings, citation-backed responses, logging, and retrieval-quality benchmarking.

I'm motivated by applying cloud, AI, and data technologies to real business problems, with strong ownership of design, implementation, operations, and continuous improvement.

Experience

Work history, roles, and key accomplishments

Current

GenAI Engineer Intern

Current

GlobalLogic

Jun 2026 - Present (2 months)

Building scalable AI-powered applications integrating LLMs and RAG pipelines using Python, LangChain, FAISS, and ChromaDB. Designing backend APIs with FastAPI and Streamlit, applying engineering best practices to deliver end-to-end intelligent solutions.

Python Lang Chain Faiss ChromaDB fastAPI Streamlit Git Prompt Engineering N8n AI Agents

AI/ML Intern

Hubverse

Mar 2026 - May 2026 (2 months)

Developed and implemented ML models to solve real-world business problems, including data preprocessing, EDA, feature engineering, and model evaluation using Scikit-learn. Integrated ML solutions into web applications and created visualizations with Matplotlib and Seaborn.