Open to opportunities

Swathi Angadi

@swathiangadi

Message

I’m an AIML Engineer building GenAI and ML systems on Databricks and Azure with RAG, Text2SQL, and LLMOps.

India

Message

What I'm looking for

I’m looking to build production GenAI/ML platforms on Databricks and Azure—focused on RAG, multi-agent orchestration, Text2SQL, and strong LLMOps with evaluation, monitoring, and CI/CD to improve model quality and business outcomes.

I’m an AIML Engineer with “4+ yrs” building production GenAI and ML systems on Databricks and Azure. I’m strong in Apache Spark / PySpark, RAG and multi-agent orchestration, Text2SQL, and LLMOps—model serving, evaluation, prompt engineering, and monitoring—implemented in Python with LangChain, HuggingFace, and PyTorch.

In my recent roles, I built continuous LLM evaluation pipelines for agentic systems (including RLHF and SFT dataset preparation) and enforced quality gates for training exports. At Livspace, I designed a production conversational AI platform with multi-agent orchestration (LangChain/LangGraph) and delivered LLMOps with automated dashboards and CI/CD via Azure DevOps; I also helped drive a “20% increase in Lead Conversion Rate across metro cities.”

Experience

Work history, roles, and key accomplishments

AI / ML Engineer

Outlier AI

Oct 2025 - May 2026 (7 months)

Built continuous LLM evaluation pipelines for agentic systems with MCP tool integration, including A/B response scoring for factuality, format, and latency. Prepared RLHF and SFT datasets and added dataset-hygiene quality gates for training exports.

Python PyTorch MCP Agentic AI SFT LLM Evaluation Prompt Engineering NLP Computer Vision

AI / ML Engineer

Livspace

Oct 2024 - Oct 2025 (1 year)

Designed a production conversational AI platform on Azure ML with multi-agent orchestration using LangChain/LangGraph and MCP tool-calling interfaces. Built RAG and Text2SQL agents, owned LLMOps (model serving, monitoring, evaluation), and delivered a 20% increase in Lead Conversion Rate across metro cities.

Python SQL Azure ML Databricks PyTorch scikit learn Lang Chain LangGraph MCP RAG Text2SQL LLM Evaluation MLFlow Docker Kubernetes REST APIs

Python / ML Engineer

Associates

Aug 2023 - Oct 2024 (1 year 2 months)

Developed and deployed a customer churn prediction model on Azure Databricks using PySpark and Scikit-learn. Built governed Delta Lake ETL pipelines and evaluated models with precision/recall, F1-score, and AUC-ROC while tracking experiments with MLflow.

Python Pyspark Apache Spark Azure Databricks Delta Lake scikit learn XGBoost MLFlow TensorFlow MySQL ETL Feature Engineering Unity Catalog SMOTE Random Forest

Data Analyst Intern

Prax Associates Ltd.

Jan 2022 - Aug 2023 (1 year 7 months)

Performed SQL/Excel data analysis for architecture and design projects and translated findings into actionable recommendations for design and planning teams.

SQL Excel Data Analysis Reporting Data Cleaning