Sravan reddy UserSU
Open to opportunities

Sravan reddy User

@sravanreddyuser

AI/ML Engineer with 5+ years of experience in intelligent systems.

United States

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my AI/ML expertise to drive impactful projects and contribute to a forward-thinking team.

I am an AI/ML Engineer with over 5 years of experience in designing, developing, and deploying intelligent systems across various cloud platforms. My proven track record includes creating scalable ML pipelines, integrating GenAI tools, and optimizing data workflows for predictive analytics and real-time decision-making. I excel at transforming prototypes into robust, production-ready AI solutions.

Currently, I work at AIOptics, where I have developed end-to-end ML pipelines for fraud detection and customer segmentation using Azure and Databricks. I leverage OpenAI APIs and Hugging Face transformers to build GenAI agents for internal tools, enhancing productivity and efficiency. My experience also includes deploying scalable models via MLflow and Azure ML, enabling CI/CD integration with performance monitoring.

Previously, I worked as a Machine Learning Engineer at Citco, where I built AI pipelines for EHR analytics and patient monitoring. I utilized NLP techniques to extract medical conditions from unstructured clinical notes, significantly reducing clinical turnaround times. My educational background includes a Master's in Computer Science from Trine University, where I honed my skills in AI and machine learning.

Experience

Work history, roles, and key accomplishments

AI
Current

AI/ML Engineer

AIOptics

Apr 2023 - Present (2 years 1 month)

Developed end-to-end ML pipelines in Azure and Databricks for fraud detection, customer segmentation, and personalized services. Leveraged OpenAI APIs and Hugging Face transformers to build GenAI agents for internal tools and document summarization, deploying scalable models via MLflow and Azure ML. Created REST APIs to serve real-time inference from predictive models using FastAPI and Docker, int

CI

Machine Learning Engineer

Citco

Jan 2020 - Dec 2021 (1 year 11 months)

Built AI pipelines for EHR analytics, clinical trials, and patient monitoring using AWS SageMaker and Apache Airflow. Utilized NLP to extract medical conditions and key terms from unstructured clinical notes with SpaCy and BERT-based models. Developed models for patient risk scoring and early detection of adverse events, reducing clinical turnaround times by 25%.

Education

Degrees, certifications, and relevant coursework

Trine University logoTU

Trine University

Masters in Computer Science, Computer Science

Pursued advanced studies in Computer Science, focusing on specialized areas within the field. Gained expertise in complex computational concepts and their applications.

Bharath University logoBU

Bharath University

Bachelors in Computer Science, Computer Science

Completed a Bachelor's degree in Computer Science, building a foundational understanding of computing principles. Developed skills in programming, algorithms, and data structures.

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