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I am a Generative AI and ML engineer focused on turning data into actionable AI-powered solutions. I architect production-grade pipelines and applications across Databricks, Azure, AWS, and GCP, specializing in RAG workflows, LLM-powered tools, predictive modeling, and scalable data platforms. I design and deploy end-to-end AI solutions that improve search relevance, automate document understanding, and optimize model deployment and operation. I bring a healthcare AI background and strong MLOps practices to ensure responsible, explainable, and governance-ready AI. I collaborate closely with cross-functional teams to translate complex business requirements into robust, scalable AI products while keeping cloud costs in check and maintaining reliable production performance.…I am a Generative AI and ML engineer focused on turning data into actionable AI-powered solutions. I architect production-grade pipelines and applications across Databricks, Azure, AWS, and GCP, specializing in RAG workflows, LLM-powered tools, predictive modeling, and scalable data platforms. I design and deploy end-to-end AI solutions that improve search relevance, automate document understanding, and optimize model deployment and operation. I bring a healthcare AI background and strong MLOps practices to ensure responsible, explainable, and governance-ready AI. I collaborate closely with cross-functional teams to translate complex business requirements into robust, scalable AI products while keeping cloud costs in check and maintaining reliable production performance.

LOKESH CHOWDHARY YELLAMANCHALI MA

AI Engineer, Data Scientist, Data Analyst, +2

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I am a Generative AI and ML engineer focused on turning data into actionable AI-powered solutions. I architect production-grade pipelines and applications across Databricks, Azure, AWS, and GCP, specializing in RAG workflows, LLM-powered tools, predictive modeling, and scalable data platforms. I design and deploy end-to-end AI solutions that improve search relevance, automate document understanding, and optimize model deployment and operation. I bring a healthcare AI background and strong MLOps practices to ensure responsible, explainable, and governance-ready AI. I collaborate closely with cross-functional teams to translate complex business requirements into robust, scalable AI products while keeping cloud costs in check and maintaining reliable production performance.…I am a Generative AI and ML engineer focused on turning data into actionable AI-powered solutions. I architect production-grade pipelines and applications across Databricks, Azure, AWS, and GCP, specializing in RAG workflows, LLM-powered tools, predictive modeling, and scalable data platforms. I design and deploy end-to-end AI solutions that improve search relevance, automate document understanding, and optimize model deployment and operation. I bring a healthcare AI background and strong MLOps practices to ensure responsible, explainable, and governance-ready AI. I collaborate closely with cross-functional teams to translate complex business requirements into robust, scalable AI products while keeping cloud costs in check and maintaining reliable production performance.

Available to hire

I am a Generative AI and ML engineer focused on turning data into actionable AI-powered solutions. I architect production-grade pipelines and applications across Databricks, Azure, AWS, and GCP, specializing in RAG workflows, LLM-powered tools, predictive modeling, and scalable data platforms. I design and deploy end-to-end AI solutions that improve search relevance, automate document understanding, and optimize model deployment and operation.

I bring a healthcare AI background and strong MLOps practices to ensure responsible, explainable, and governance-ready AI. I collaborate closely with cross-functional teams to translate complex business requirements into robust, scalable AI products while keeping cloud costs in check and maintaining reliable production performance.

Skills

Experience Level

Expert

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Expert

Language

English

Fluent

Work Experience

Generative AI Engineer at Databricks

June 1, 2024 - Present

Designed and deployed production-ready Generative AI and RAG solutions using Azure Databricks, AWS Databricks, PySpark, Delta Lake, MLflow, embeddings, vector search, and LLMs, reducing enterprise document search time by 40%. Built scalable LLM-powered applications including enterprise chatbots, semantic search tools, document summarization workflows, and AI knowledge assistants for business users. Processed over 10M+ records daily using Apache Spark, PySpark, SQL, and Delta Lake across Azure Databricks and AWS Databricks environments. Implemented Databricks Vector Search and embedding-based retrieval, improving search relevance by 45% compared to keyword-based search methods. Automated summarization and Q&A for 10,000+ enterprise documents, reducing manual review effort by 60%. Deployed AI inference workloads using Databricks Model Serving, achieving response latency below 2 seconds for business-critical applications. Optimized Spark jobs, SQL queries, cluster configurations, and work

AI/ML Engineer at Verily

March 1, 2022 - August 1, 2023

Designed and deployed scalable AI/ML solutions for healthcare and life sciences use cases using Python, SQL, Scikit-learn, TensorFlow, PyTorch, GCP, and AWS, improving prediction accuracy by 25% . Built end-to-end ML pipelines for data ingestion, preprocessing, feature engineering, model training, validation, deployment, and production monitoring. Processed large-scale healthcare datasets, improving model-ready data quality by 40% through automated validation, cleansing, and transformation workflows. Automated ML workflows using MLOps, CI/CD, Git, Docker, Airflow, and MLflow, reducing manual effort by 45% and deployment cycle time by 30% . Deployed production-ready ML models on GCP and AWS for batch and real-time inference, supporting reliable healthcare analytics and operational decision-making. Implemented model monitoring for data drift, accuracy, latency, prediction quality, and performance degradation to ensure stable production AI operations. Applied responsible AI practices, inc