Open to opportunities

Jaya Sree Myla

@jayasreemyla

Message

I build production LLM, RAG, and agentic AI systems.

United States

Message

What I'm looking for

I'm looking to build production-grade LLM, RAG, agentic AI, and machine learning systems, with opportunities to improve evaluation, MLOps, cloud deployment, and scalable AI/ML pipelines.

I'm building LLM-powered reporting assistants for Subaru that turn structured business data and enterprise documents into automated management insights, reducing manual reporting effort by 65%.

I develop production RAG architectures, semantic search, multi-agent workflows, and cloud-native AI APIs using Python, LangChain, LangGraph, Azure OpenAI, AWS Bedrock, FastAPI, and Azure and AWS services. I also build evaluation and prompt-optimization frameworks that improve response quality, factuality, relevance, and consistency.

Previously, I developed fraud detection and risk prediction models for iGATE Global Solutions using XGBoost, LightGBM, Random Forest, and Transformer-based models. I built MLOps and data engineering pipelines with SageMaker, MLflow, Kubeflow, Airflow, Spark, AWS Glue, Docker, Kubernetes, Terraform, and Jenkins.

I started by building AI chatbots and document summarization solutions at Juspay Technologies, where I supported data preparation, experimentation, model integration, testing, and production monitoring.

Experience

Work history, roles, and key accomplishments

Current

Generative AI Engineer

Current

Subaru

Oct 2024 - Present (1 year 11 months)

Built an LLM-powered reporting assistant that automates management insights, reducing manual reporting effort by 65%. Designed multi-agent AI workflows and RAG architectures using LangGraph, AWS Bedrock, and Azure OpenAI.

Python OpenAI SDK Azure OpenAI Gemini LangGraph RAG PySpark Spark SQL Databricks Azure Functions AWS Lambda Flask fastAPI Docker Terraform CloudFormation LLM Evaluation Prompt Engineering

AI/ML Engineer

iGATE Global Solutions

Jan 2022 - Jun 2023 (1 year 5 months)

Developed and optimized fraud detection and risk prediction models using Random Forest, XGBoost, and Transformer-based models. Built automated MLOps pipelines using Amazon SageMaker, MLflow, and CI/CD tools.

Random Forest XGBoost LightGBM Decision Trees Transformers Sagemaker MLFlow Kubeflow Airflow AWS Glue CI CD Apache Spark Terraform Jenkins Docker Kubernetes AWS IAM KMS RBAC Model Monitoring

AI/ML Intern

Juspay Technologies

Jun 2021 - Dec 2021 (6 months)

Developed and enhanced AI-powered chatbot and document summarization solutions. Performed data preprocessing and exploratory analysis to support machine learning model development.

Chatbot Development Summarization data preprocessing Data Cleaning Machine Learning Model Evaluation