Abhinay Bandela
Open to work6 years experienceAI Engineer
AI Engineer | Agentic AI Systems | Data Engineering
Standing Rank
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Skills & Technologies
31 skillsWork Experience
Founder & AI Engineer
Atheera
- 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 where specialized agents observe operational data, reason over inventory signals, and trigger execution workflows with human approval for high-value actions.
- Developed autonomous agents for data ingestion, data cleaning, demand-pattern detection, forecasting, reorder planning, PO generation, supplier communication, and audit tracking.
- Built backend services using Python, FastAPI, PostgreSQL, AWS, and REST APIs, with a connector layer unifying commerce, marketplace, fulfillment, and finance data into one operational system.
- Engineered a replenishment decision engine using sales velocity, lead times, safety stock, MOQ, pack size, inventory position, vendor rules, explainability, and audit logging.
AI Engineer
Farmers Insurance
- Built and deployed LLM-powered assistant workflows, in production for ~20 pricing and analytics users, enabling natural-language retrieval, summarization, and reasoning over policy, claims, premium, and driver-behavior data.
- Engineered RAG pipelines on pgvector grounding AI responses across 1,000+ underwriting, policy, and pricing documents, improving answer relevance, traceability, and decision confidence.
- Designed LangGraph and custom Python agent workflows for intent classification, context retrieval, and explainable pricing insights, cutting routine pricing-data lookups from ~30 minutes to ~5.
- Developed FastAPI services exposing AI assistant, RAG search, document summarization, and pricing-intelligence workflows for internal decision support.
- Integrated Redshift, PostgreSQL, pgvector, and document stores to unify structured analytics with unstructured insurance documents for grounded, context-aware responses.
- Built and tracked driver-risk scoring models with SageMaker, Scikit-learn, and MLflow, versioning experiments and model runs across pricing scenarios.
- Orchestrated data refresh, embedding generation, retrieval updates, and AI workflow execution with Apache Airflow for reliable, recurring pricing-intelligence cycles.
Data Analytics Engineer
Farmers Insurance
- Built Redshift analytical datasets combining policy, claims, premium, customer, and driver-behavior data to support dynamic pricing and risk-segmentation analysis.
- Developed advanced SQL models using CTEs, window functions, and aggregations to measure driver risk, claim frequency, premium movement, and retention behavior.
- Created Tableau dashboards for pricing, claims, retention, and driver-behavior KPIs, enabling pricing and analytics teams to identify risk-based pricing gaps.
- Built feature-ready datasets and trained Random Forest and XGBoost models for driver-risk scoring, improving pricing decision support across customer segments.
- Engineered trusted KPI definitions, validation logic, and structured datasets that helped transition pricing analytics from descriptive reporting to AI-driven decision support.
Data Engineer
USAA
- Built AWS ETL pipelines ingesting policy, claims, customer, and transaction data from 5+ source systems into Amazon S3 raw and staging layers.
- Developed AWS Glue jobs using Python and SQL to apply business rules, schema standardization, and field-level validations across 40+ tables.
- Automated file validation, Glue job triggering, metadata checks, and S3 inter-layer data movement with AWS Lambda, saving 10+ hours per week.
- Loaded curated datasets into Amazon Redshift and RDS reporting tables to support reconciliation, audit checks, recurring reporting, and analytics.
- Implemented data quality checks for duplicates, missing identifiers, invalid policy numbers, null claims, and source-to- target mismatches, reducing downstream discrepancies by 30%.
Projects
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Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
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AI Collaboration Score
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Role Compatibility Profile
Role Compatibility Analysis Pending
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Achievements
AWS Certified Solutions Architect – Associate
AWS Certified Solutions Architect – Associate
Microsoft Certified: Azure Fundamentals
Microsoft Certified: Azure Fundamentals
Lean Six Sigma Black Belt
Lean Six Sigma Black Belt
About Details
Professional Bio
AI Engineer with 5+ years of experience building data-intensive AI systems across insurance, pricing intelligence, and supply-chain automation. Specialized in taking LLM and agent-based systems from raw data to production, including RAG pipelines and multi-agent workflows.
M.S. in Engineering Management in Engineering Management
University of North Texas (2022 - 2023)