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Abhinay Reddy

@abhinayreddy

Applied AI engineer at Atheera building agentic supply-chain systems for forecasting, replenishment planning, and purchase-order execution.

India

Message

What I'm looking for

AI Engineer, Gen AI Engineer, Applied AI Engineer, Agentic AI Engineer.

At Atheera, I built and deployed an agentic supply-chain intelligence platform that automates inventory monitoring, demand forecasting, replenishment planning, and purchase-order execution. Its specialized agents can observe operational data and trigger workflows, with human approval for high-value actions.

I’m also a Senior AI/ML Engineer at Farmers Insurance, where I built production LLM assistant workflows and RAG pipelines for pricing and analytics users. I developed LangGraph agent workflows for explainable pricing insights and driver-risk scoring models with SageMaker, Scikit-learn, and MLflow.

Earlier at Farmers Insurance, I built pricing and risk-analysis datasets, SQL models, and Tableau dashboards. At USAA, I developed AWS ETL pipelines and data-quality checks for policy, claims, customer, and transaction data.

Experience

Work history, roles, and key accomplishments

Current

Founder & Applied AI Engineer

Current

Atheera

Jan 2025 - Present (1 year 9 months)

Built and deployed an agentic supply-chain intelligence platform for consumer brands, automating inventory monitoring, demand forecasting, replenishment planning, and purchase-order execution. Designed a multi-agent architecture with specialized agents for data ingestion, forecasting, and execution workflows.

Agentic AI LangGraph RAG fastAPI Python PostgreSQL AWS REST APIs scikit learn Prophet Croston's method PyTorch TensorFlow Redis Amazon SQS SNS Pytest

Current

Senior AI/ML Engineer

Current

Farmers Insurance

Dec 2024 - Present (1 year 10 months)

Built and deployed LLM-powered assistant workflows for pricing and analytics users, enabling natural-language retrieval and reasoning over policy and claims data. Engineered RAG pipelines on pgvector and developed FastAPI services for AI-driven decision support.

LLM RAG LangGraph Python fastAPI PostgreSQL Pgvector Redshift Sagemaker scikit learn MLFlow Airflow Pytest Postman

AI/ML Engineer

Farmers Insurance

May 2023 - Dec 2024 (1 year 7 months)

Built Redshift analytical datasets and developed SQL models for driver risk and pricing analysis. Created Tableau dashboards and trained Random Forest and XGBoost models for risk scoring, improving pricing decision support.

SQL Redshift Tableau Random Forest XGBoost Sagemaker scikit learn MLFlow Python Airflow

Data Engineer

USAA

Jul 2019 - Dec 2021 (2 years 5 months)

Built AWS ETL pipelines ingesting data from multiple source systems into S3 and Redshift. Automated data validation and monitoring with Lambda and CloudWatch, reducing discrepancies and manual effort.