I am a Gen AI / ML engineer with 8+ years of hands-on experience building data-driven AI solutions, spanning NLP, computer vision, fraud detection, and predictive analytics. I design and deploy scalable AI/ML pipelines on cloud platforms (AWS, Azure, GCP), lead cross-functional teams, and translate complex business needs into actionable models, dashboards, and production-ready APIs. I thrive on optimizing model performance, applying prompt engineering and GenAI techniques such as LoRA and QLoRA for domain adaptation, and delivering reliable, secure solutions for financial services and enterprise environments.

Venkata Ramana

I am a Gen AI / ML engineer with 8+ years of hands-on experience building data-driven AI solutions, spanning NLP, computer vision, fraud detection, and predictive analytics. I design and deploy scalable AI/ML pipelines on cloud platforms (AWS, Azure, GCP), lead cross-functional teams, and translate complex business needs into actionable models, dashboards, and production-ready APIs. I thrive on optimizing model performance, applying prompt engineering and GenAI techniques such as LoRA and QLoRA for domain adaptation, and delivering reliable, secure solutions for financial services and enterprise environments.

Available to hire

I am a Gen AI / ML engineer with 8+ years of hands-on experience building data-driven AI solutions, spanning NLP, computer vision, fraud detection, and predictive analytics. I design and deploy scalable AI/ML pipelines on cloud platforms (AWS, Azure, GCP), lead cross-functional teams, and translate complex business needs into actionable models, dashboards, and production-ready APIs.

I thrive on optimizing model performance, applying prompt engineering and GenAI techniques such as LoRA and QLoRA for domain adaptation, and delivering reliable, secure solutions for financial services and enterprise environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Gen AI Engineer at State Farm
November 1, 2024 - Present
Lead the effort to create an Enterprise Data Lake on AWS Cloud. Consolidation of various data sources from GCP and AWS to establish a single version of truth and enable efficient analytics capabilities. Led a team of Data Scientists and Engineers to develop and produce various versions of ML/NLP models in microservices architectures for batch scoring and real-time API serving. Implemented LoRA for efficient fine-tuning of large language models and robust prompt engineering techniques. Built scalable AI-driven solutions using Azure OpenAI Studio and Databricks for data processing and model deployment.
Gen AI Engineer at CVS Health
November 1, 2023 - October 31, 2024
Part of a dynamic team to harness data with ML/Gen AI technologies to enhance customer satisfaction. Preprocessed large financial datasets, developed scalable ML inference APIs, optimized models in Azure OpenAI Studio, led multiple AI initiatives including Predictive Analytics and Security Analytics, integrated LoRA/QLoRA for domain adaptation, designed prompt scoring, and deployed LLMs via Bedrock/OpenAI Studio. Built chatbots and dashboards, ensured CI/CD with Azure DevOps pipelines.
AI Engineer at Syntel Private LTD
January 1, 2021 - May 31, 2022
Designed and implemented AI solutions for real-time data processing using TensorFlow and AWS, developed RESTful APIs, mentored junior team members, implemented data preprocessing, CI/CD, and model monitoring, contributed to patents and workshops, and collaborated with cross-functional teams to deliver scalable AI applications.
Data Scientist at Golf Tripz
June 1, 2018 - December 31, 2020
Deployed ML models to production, designed data pipelines, implemented forecasting and anomaly detection, led multiple AI initiatives across product suite, built dashboards and analytics solutions, and collaborated with stakeholders to translate business needs into data-driven insights.
Data Engineer at Golf Tripz
April 1, 2017 - June 30, 2018
Designed and implemented data pipelines, ETL, and data integrations, built dashboards, optimized data processing, implemented data models using Dataverse and Elasticsearch, and improved data infrastructure to support analytics.

Education

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Qualifications

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Industry Experience

Software & Internet, Financial Services, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
See more