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I'm Dharani Aerla, an AI Engineer powering retail experiences with production-scale ranking, forecasting, and GenAI solutions. I enjoy turning data into measurable impact, from fast product rankings and demand forecasts to intelligent search and personalized recommendations. I work across the stack—from PyTorch and PySpark to Snowflake and Delta Lake—building latency-optimized inference pipelines, anomaly detection, and multi-agent LLM workflows. I focus on safety-aligned ML systems that boost conversions, optimize inventory, and improve operational efficiency across e-commerce platforms.…I'm Dharani Aerla, an AI Engineer powering retail experiences with production-scale ranking, forecasting, and GenAI solutions. I enjoy turning data into measurable impact, from fast product rankings and demand forecasts to intelligent search and personalized recommendations. I work across the stack—from PyTorch and PySpark to Snowflake and Delta Lake—building latency-optimized inference pipelines, anomaly detection, and multi-agent LLM workflows. I focus on safety-aligned ML systems that boost conversions, optimize inventory, and improve operational efficiency across e-commerce platforms.

Dharani Aerla

AI Engineer, Data Scientist, Back-End Developer, +3

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I'm Dharani Aerla, an AI Engineer powering retail experiences with production-scale ranking, forecasting, and GenAI solutions. I enjoy turning data into measurable impact, from fast product rankings and demand forecasts to intelligent search and personalized recommendations. I work across the stack—from PyTorch and PySpark to Snowflake and Delta Lake—building latency-optimized inference pipelines, anomaly detection, and multi-agent LLM workflows. I focus on safety-aligned ML systems that boost conversions, optimize inventory, and improve operational efficiency across e-commerce platforms.…I'm Dharani Aerla, an AI Engineer powering retail experiences with production-scale ranking, forecasting, and GenAI solutions. I enjoy turning data into measurable impact, from fast product rankings and demand forecasts to intelligent search and personalized recommendations. I work across the stack—from PyTorch and PySpark to Snowflake and Delta Lake—building latency-optimized inference pipelines, anomaly detection, and multi-agent LLM workflows. I focus on safety-aligned ML systems that boost conversions, optimize inventory, and improve operational efficiency across e-commerce platforms.

Available to hire

I’m Dharani Aerla, an AI Engineer powering retail experiences with production-scale ranking, forecasting, and GenAI solutions. I enjoy turning data into measurable impact, from fast product rankings and demand forecasts to intelligent search and personalized recommendations.

I work across the stack—from PyTorch and PySpark to Snowflake and Delta Lake—building latency-optimized inference pipelines, anomaly detection, and multi-agent LLM workflows. I focus on safety-aligned ML systems that boost conversions, optimize inventory, and improve operational efficiency across e-commerce platforms.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

AI Engineer at Best Buy

August 1, 2024 - Present

Constructed real-time product-ranking models using PyTorch, feature stores, and Snowflake signals, improving conversion lift by 6.8% across high-traffic categories via optimized inference pipelines and continuous monitoring workflows. Architected demand-forecasting system with PySpark pipelines, incremental Delta ingestion, and SHAP analysis, reducing weekly inventory volatility by 12% and stabilizing replenishment across electronics and seasonal assortments. Engineered anomaly-detection framework combining embeddings, Kafka inputs, and drift-detection metrics, detecting pricing irregularities 23% faster and safeguarding pricing experiments. Developed retrieval-grounded assistant using vector embeddings, RAG routing, and structured prompts, decreasing agent resolution time by 18% for warranty, billing, and device-troubleshooting queries. Refined multi-agent LLM orchestrations for search-intent rewriting, improving long-tail query relevance by 9.4% with prompt specialization and groundi

AI Engineer at Flipkart

August 1, 2020 - July 1, 2023

Designed item-embedding pipeline to cluster SKUs by behavioral affinity, improving cross-category recommendation depth by 14% during seasonal campaigns. Built scalable candidate-generation models with hierarchical sampling and ANN retrieval, raising same-session discovery rates by 9% and reducing tail exposure gaps. Constructed a feature-store backed training fabric with transactional signals and contextual metadata, shortening model refresh latency from 22 hours to 9 hours during peak traffic. Deployed sequence-based re-ranking models in Triton inference servers with optimized batching, cutting P95 latency by 31% during mega-sale surges. Developed synthetic-cart augmentation using behavioral perturbations to improve robustness and add-to-cart recall by 6% for underrepresented items. Implemented continuous monitoring dashboards with drift metrics and embedding health diagnostics for rapid anomaly triage.