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I am a Generative AI Engineer / AI-ML Engineer / Data Scientist with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI, LLM applications, RAG pipelines, machine learning, deep learning, NLP, predictive analytics, and data-driven automation across banking, financial services, retail, healthcare, telecom, and enterprise technology domains. I specialize in building production-grade LLM-powered applications, end-to-end Retrieval-Augmented Generation architectures, and agentic AI patterns for secure, governed enterprise deployments. I thrive on turning complex data into practical AI-enabled decision support and scalable automation. I’ve designed and deployed banking policy assistants, fraud investigation tools, enterprise knowledge search platforms, document summarization workflows, virtual assistants, semantic search systems, and AI-powered workflow automation. My focus includes retrieval orchestration, grounded response generation, prompt engineering, LLM evaluation, and robust MLOps/LLMOps practices to ensure reliable, explainable, and compliant AI at scale.…I am a Generative AI Engineer / AI-ML Engineer / Data Scientist with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI, LLM applications, RAG pipelines, machine learning, deep learning, NLP, predictive analytics, and data-driven automation across banking, financial services, retail, healthcare, telecom, and enterprise technology domains. I specialize in building production-grade LLM-powered applications, end-to-end Retrieval-Augmented Generation architectures, and agentic AI patterns for secure, governed enterprise deployments. I thrive on turning complex data into practical AI-enabled decision support and scalable automation. I’ve designed and deployed banking policy assistants, fraud investigation tools, enterprise knowledge search platforms, document summarization workflows, virtual assistants, semantic search systems, and AI-powered workflow automation. My focus includes retrieval orchestration, grounded response generation, prompt engineering, LLM evaluation, and robust MLOps/LLMOps practices to ensure reliable, explainable, and compliant AI at scale.

Drona Chaitanya Reddy Gangarapu

Data Scientist, AI Engineer, AI Developer, +2

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I am a Generative AI Engineer / AI-ML Engineer / Data Scientist with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI, LLM applications, RAG pipelines, machine learning, deep learning, NLP, predictive analytics, and data-driven automation across banking, financial services, retail, healthcare, telecom, and enterprise technology domains. I specialize in building production-grade LLM-powered applications, end-to-end Retrieval-Augmented Generation architectures, and agentic AI patterns for secure, governed enterprise deployments. I thrive on turning complex data into practical AI-enabled decision support and scalable automation. I’ve designed and deployed banking policy assistants, fraud investigation tools, enterprise knowledge search platforms, document summarization workflows, virtual assistants, semantic search systems, and AI-powered workflow automation. My focus includes retrieval orchestration, grounded response generation, prompt engineering, LLM evaluation, and robust MLOps/LLMOps practices to ensure reliable, explainable, and compliant AI at scale.…I am a Generative AI Engineer / AI-ML Engineer / Data Scientist with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI, LLM applications, RAG pipelines, machine learning, deep learning, NLP, predictive analytics, and data-driven automation across banking, financial services, retail, healthcare, telecom, and enterprise technology domains. I specialize in building production-grade LLM-powered applications, end-to-end Retrieval-Augmented Generation architectures, and agentic AI patterns for secure, governed enterprise deployments. I thrive on turning complex data into practical AI-enabled decision support and scalable automation. I’ve designed and deployed banking policy assistants, fraud investigation tools, enterprise knowledge search platforms, document summarization workflows, virtual assistants, semantic search systems, and AI-powered workflow automation. My focus includes retrieval orchestration, grounded response generation, prompt engineering, LLM evaluation, and robust MLOps/LLMOps practices to ensure reliable, explainable, and compliant AI at scale.

Available to hire

I am a Generative AI Engineer / AI-ML Engineer / Data Scientist with 9+ years of experience designing, developing, deploying, and supporting enterprise-grade Generative AI, LLM applications, RAG pipelines, machine learning, deep learning, NLP, predictive analytics, and data-driven automation across banking, financial services, retail, healthcare, telecom, and enterprise technology domains. I specialize in building production-grade LLM-powered applications, end-to-end Retrieval-Augmented Generation architectures, and agentic AI patterns for secure, governed enterprise deployments. I thrive on turning complex data into practical AI-enabled decision support and scalable automation.

I’ve designed and deployed banking policy assistants, fraud investigation tools, enterprise knowledge search platforms, document summarization workflows, virtual assistants, semantic search systems, and AI-powered workflow automation. My focus includes retrieval orchestration, grounded response generation, prompt engineering, LLM evaluation, and robust MLOps/LLMOps practices to ensure reliable, explainable, and compliant AI at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Generative AI Engineer at First Citizens Bank

February 1, 2023 - Present

Design and deploy enterprise-grade Generative AI and ML solutions using Python, AWS Bedrock/SageMaker, LangChain, LlamaIndex, and FastAPI to automate banking workflows, support fraud detection and risk analytics, enable document search, and provide AI-assisted decision support.

AI/ML Engineer at Albertsons

March 1, 2021 - January 1, 2023

Developed AI/ML models for demand forecasting, pricing optimization, promotions, and customer personalization. Built time-series forecasting, anomaly detection, NLP for feedback, and production-ready model-serving services with FastAPI; implemented MLOps.

AI/ML Engineer at Maxim Healthcare

November 1, 2019 - February 1, 2021

Developed AI/ML-based predictive analytics for patient risk assessment, disease progression, and readmission risk; built medical image analysis and clinical NLP workflows; ensured HIPAA-compliant data handling and governance; deployed scalable inference endpoints.

Data Scientist at AT&T

June 1, 2017 - November 1, 2019

Led predictive maintenance, churn, and network analytics; built real-time anomaly detection and recommender systems; processed large-scale telecom data with Spark/Hadoop/Kafka; implemented end-to-end data pipelines and deployment using Airflow and CI/CD.

Data Scientist at DMS

August 1, 2016 - January 1, 2017

Supported predictive modeling, ETL, NLP basics, and data analytics for customer insights; designed data processing workflows and dashboards for decision support.