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I am a passionate AI/ML Engineer with over 5 years of experience creating end-to-end machine learning solutions specializing in Python and SQL. I enjoy leveraging my expertise in AI technologies such as large language models and cloud platforms to optimize complex workflows, improve accuracy, and reduce operational costs. My journey has allowed me to collaborate closely with cross-functional teams in financial services and healthcare sectors, enabling innovative AI-driven applications ranging from regulatory intelligence to predictive patient analytics. I am committed to continuous learning and pushing the boundaries of AI to drive real-world impact.…I am a passionate AI/ML Engineer with over 5 years of experience creating end-to-end machine learning solutions specializing in Python and SQL. I enjoy leveraging my expertise in AI technologies such as large language models and cloud platforms to optimize complex workflows, improve accuracy, and reduce operational costs. My journey has allowed me to collaborate closely with cross-functional teams in financial services and healthcare sectors, enabling innovative AI-driven applications ranging from regulatory intelligence to predictive patient analytics. I am committed to continuous learning and pushing the boundaries of AI to drive real-world impact.

G OPINATH REDDY THUMATI

AI Engineer, Data Scientist, Developer, +1

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I am a passionate AI/ML Engineer with over 5 years of experience creating end-to-end machine learning solutions specializing in Python and SQL. I enjoy leveraging my expertise in AI technologies such as large language models and cloud platforms to optimize complex workflows, improve accuracy, and reduce operational costs. My journey has allowed me to collaborate closely with cross-functional teams in financial services and healthcare sectors, enabling innovative AI-driven applications ranging from regulatory intelligence to predictive patient analytics. I am committed to continuous learning and pushing the boundaries of AI to drive real-world impact.…I am a passionate AI/ML Engineer with over 5 years of experience creating end-to-end machine learning solutions specializing in Python and SQL. I enjoy leveraging my expertise in AI technologies such as large language models and cloud platforms to optimize complex workflows, improve accuracy, and reduce operational costs. My journey has allowed me to collaborate closely with cross-functional teams in financial services and healthcare sectors, enabling innovative AI-driven applications ranging from regulatory intelligence to predictive patient analytics. I am committed to continuous learning and pushing the boundaries of AI to drive real-world impact.

Available to hire

I am a passionate AI/ML Engineer with over 5 years of experience creating end-to-end machine learning solutions specializing in Python and SQL. I enjoy leveraging my expertise in AI technologies such as large language models and cloud platforms to optimize complex workflows, improve accuracy, and reduce operational costs.

My journey has allowed me to collaborate closely with cross-functional teams in financial services and healthcare sectors, enabling innovative AI-driven applications ranging from regulatory intelligence to predictive patient analytics. I am committed to continuous learning and pushing the boundaries of AI to drive real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

AI/ML Engineer at Goldman Sachs

January 1, 2025 - Present

Designed and deployed LLM-powered chatbots using LangChain and AWS Bedrock, enabling legal and compliance teams to rapidly retrieve policy information. Developed Python workflows integrating Whisper and FastAPI, hosted on AWS SageMaker endpoints, reducing manual transcription efforts by 35% and enhancing documentation accuracy. Built vector search systems with FAISS on EC2 and S3 with SQL indexing, making financial data searchable in real time and cutting analyst research time by 25%, saving $1.2M annually. Orchestrated ML services deployment using Docker and GitHub Actions on AWS EKS, decreasing deployment cycles to 2-3 days. Partnered with risk teams to improve regulatory query responses by 20% via RAG models on AWS Bedrock. Engineered feature pipelines handling over 10 million records to streamline retraining and improve reproducibility.

Machine Learning Engineer at Neon IT Systems

August 1, 2023 - August 25, 2025

Developed predictive models (XGBoost, Random Forest) on EHR and claims data to identify high-risk patients, improving readmission predictions by 18%. Built NLP pipelines with spaCy and scikit-learn to extract clinical insights from unstructured physician notes. Created PySpark and Azure Data Factory ETL workflows unifying over 50 million patient records, reducing data preparation time from days to hours. Integrated explainable AI tools (SHAP, LIME) for physician interpretability, boosting clinical adoption. Deployed models as REST APIs on Azure Kubernetes Service, reducing inference latency below 200ms and enabling real-time clinical decision support.