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I am Chirag Srinivasa Reddy, an AI professional with over five years of experience in deep learning, large language models, and generative AI frameworks (OpenAI, Hugging Face, Lang Chain). I design and deploy scalable AI systems for conversational AI, content generation, and intelligent automation, partnering with cross-functional teams to deliver measurable business impact. I have hands-on experience building end-to-end data pipelines, retrieval-augmented generation, and model deployment using Docker, Kubernetes, and cloud platforms. I thrive in collaborative environments and am passionate about ethical AI, model explainability, and delivering robust, production-ready AI solutions.…I am Chirag Srinivasa Reddy, an AI professional with over five years of experience in deep learning, large language models, and generative AI frameworks (OpenAI, Hugging Face, Lang Chain). I design and deploy scalable AI systems for conversational AI, content generation, and intelligent automation, partnering with cross-functional teams to deliver measurable business impact. I have hands-on experience building end-to-end data pipelines, retrieval-augmented generation, and model deployment using Docker, Kubernetes, and cloud platforms. I thrive in collaborative environments and am passionate about ethical AI, model explainability, and delivering robust, production-ready AI solutions.

Chirag Srinivasa Reddy

Data Scientist, AI Engineer, Full Stack Developer, +1

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I am Chirag Srinivasa Reddy, an AI professional with over five years of experience in deep learning, large language models, and generative AI frameworks (OpenAI, Hugging Face, Lang Chain). I design and deploy scalable AI systems for conversational AI, content generation, and intelligent automation, partnering with cross-functional teams to deliver measurable business impact. I have hands-on experience building end-to-end data pipelines, retrieval-augmented generation, and model deployment using Docker, Kubernetes, and cloud platforms. I thrive in collaborative environments and am passionate about ethical AI, model explainability, and delivering robust, production-ready AI solutions.…I am Chirag Srinivasa Reddy, an AI professional with over five years of experience in deep learning, large language models, and generative AI frameworks (OpenAI, Hugging Face, Lang Chain). I design and deploy scalable AI systems for conversational AI, content generation, and intelligent automation, partnering with cross-functional teams to deliver measurable business impact. I have hands-on experience building end-to-end data pipelines, retrieval-augmented generation, and model deployment using Docker, Kubernetes, and cloud platforms. I thrive in collaborative environments and am passionate about ethical AI, model explainability, and delivering robust, production-ready AI solutions.

Available to hire

I am Chirag Srinivasa Reddy, an AI professional with over five years of experience in deep learning, large language models, and generative AI frameworks (OpenAI, Hugging Face, Lang Chain). I design and deploy scalable AI systems for conversational AI, content generation, and intelligent automation, partnering with cross-functional teams to deliver measurable business impact.

I have hands-on experience building end-to-end data pipelines, retrieval-augmented generation, and model deployment using Docker, Kubernetes, and cloud platforms. I thrive in collaborative environments and am passionate about ethical AI, model explainability, and delivering robust, production-ready AI solutions.

Skills

Experience Level

Expert

Expert

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Expert

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Intermediate

Intermediate

Work Experience

Generative AI Engineer at TD Bank

February 1, 2025 - Present

Developed advanced Generative AI models including GANs, diffusion models, and transformers to generate realistic synthetic datasets, enrich personalized media content, and simulate customer interaction scenarios. Designed and deployed conversational AI assistants using LangChain, OpenAI API, and FAISS, enabling contextual multilingual support across mobile, internet, and broadcasting services. Built real-time data streaming and analytics pipelines with Apache Kafka, Apache Airflow, and Spark Structured Streaming to ingest and process telecom usage data, network logs, and media metrics. Applied SAS, MATLAB, and Hive for data analysis and decision-making support.

Generative AI Engineer at Royal Bank of Canada

April 1, 2023 - January 31, 2025

Developed generative AI models (GPT, LLaMA, HuggingFace Transformers) to automate financial document summarization, client advisory notes, and regulatory compliance reports, reducing manual effort and turnaround time. Implemented retrieval-augmented generation workflows with LangChain, Pinecone, and Weaviate to enable intelligent knowledge search for risk, compliance, and wealth management. Engineered distributed data pipelines with Spark, Kafka, and Hadoop to support real-time model training for fraud detection and personalized banking solutions. Deployed LLM-based microservices on Kubernetes and Docker with CI/CD, and integrated explainability frameworks such as SHAP and LIME to ensure transparency and regulatory alignment.

Data Scientist at Falabella

April 1, 2020 - October 31, 2021

Developed predictive analytics models using Python, Scikit-learn, and XGBoost to forecast policy lapse, claims probability, and renewal likelihood, optimizing underwriting strategies and reducing churn. Built deep learning solutions for fraud detection and claim risk using TensorFlow, Keras, and PyTorch. Designed scalable ETL pipelines with Spark, Hadoop, and Airflow to integrate policyholder, claims, and transaction data for centralized analytics. Created dashboards in Tableau, Power BI, and Google Data Studio, enabling executives to monitor risk and performance.

Machine Learning Engineer at American Airlines

November 1, 2021 - December 31, 2022

Developed predictive models with Python and Scikit-learn to forecast loan defaults, credit scores, and transaction risks, enabling improved risk assessment and personalized financial offerings. Built real-time data pipelines with Kafka, Airflow, and ETL processes to support fraud detection and compliance monitoring. Led fintech data platform enhancements through collaboration with stakeholders to translate requirements into prototypes and production-ready solutions. Created dashboards in Tableau and Power BI to communicate insights to executives.