Available to hire
Hi, I’m Sravanthi Sankepally, an AI/ML engineer with over 8 years of experience working on intelligent systems across various industries including healthcare, education, and enterprise applications. I specialize in designing, developing, and deploying AI pipelines, fine-tuning large language models, and building scalable AI-driven APIs. I enjoy collaborating with cross-functional teams to build impactful AI products that are both efficient and trustworthy.
I have hands-on expertise with cloud platforms like Google Cloud Platform and AWS, and I am passionate about leveraging cutting-edge AI techniques such as parameter-efficient fine-tuning and explainable AI to drive real-time, customer-focused solutions. I’m also an advocate for ethical AI practices and continuously stay updated on the latest AI trends to ensure the AI tools I build are both innovative and compliant.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Language
English
Fluent
Work Experience
AI/ML Engineer at Evolve Bank & Trust
July 1, 2024 - PresentDesigned and implemented end-to-end AI pipelines, aligned with system architecture and performance requirements; applied parameter-efficient fine-tuning techniques such as LoRA and QLoRA for domain-specific large model customization. Built low-latency microservices for real-time model inference using asynchronous Python programming. Optimized GPU/TPU resource usage while collaborating across teams to deliver impactful AI features. Developed containerized AI model deployments using Docker and Kubernetes on cloud-native infrastructures. Leveraged Vertex AI Pipelines and Model Registry for scalable LLM fine-tuning and automated workflows. Managed model experiment tracking and lifecycle using MLflow, DVC, and Weights & Biases. Developed explainability solutions using SHAP and LIME and built proof-of-concept LLM-based agents for internal applications. Built REST and GraphQL APIs for AI model integration with banking tools, and implemented responsible AI practices including bias mitigation a
AI/ML Engineer at Advance Digital Textiles
June 30, 2024 - July 18, 2025Collaborated with marketing and support teams to define AI/ML-driven customer retention strategies. Developed end-to-end customer lifecycle analytics pipelines with Python, PySpark, SQL and AWS S3. Architected retrieval-augmented generation (RAG) chatbots using LangChain, LangGraph, Milvus vectors, and embedding models from OpenAI and Hugging Face. Designed GenAI-powered slide generation engines using Vertex AI and Google text-to-image models. Engineered robust ETL workflows and feature stores supporting real-time model training and retraining on Databricks and Amazon EMR. Built and deployed LLM pipelines integrated with ADK prompt orchestration, achieving churn reduction through predictive targeting. Automated CI/CD processes with GitHub Actions, MLflow, and deployment monitoring tools. Authored documentation and performed business impact analyses, achieving over 80% model accuracy and notable customer retention improvements.
AI/ML Engineer at Colonial Life Insurance
December 31, 2022 - July 18, 2025Developed scalable backend services and AI-driven chatbot frameworks using Python, LangChain, and LangGraph for generative AI applications. Automated deployment pipelines with GitHub Actions and Prometheus integration. Enabled autonomous database querying and real-time AI interactions to enhance customer support capabilities. Designed RESTful API integrations using Django and Node.js with Azure databases. Prototyped LLM-based policy assistant agents and experimented with Vertex AI for insurance-specific NLP tasks. Built frontend applications with React.js and Angular tied to AI backends. Implemented testing frameworks (Pytest) to assure performance and stability. Contributed to innovation initiatives by evaluating emerging LLM technologies and agent-based architectures.
Data Engineer at Elephant Insurance
March 31, 2021 - July 18, 2025Built and deployed ML models (logistic regression, decision trees, neural networks) for healthcare datasets, improving predictive accuracy by 25%. Engineered domain-specific features enhancing model performance by over 35%. Developed REST APIs for seamless model deployment and integration. Automated ETL pipelines using Python, Pandas, and SSIS. Applied hyperparameter tuning and model interpretability techniques (SHAP, LIME) ensuring transparency in healthcare use. Delivered training modules to university students on data science topics. Implemented ethical AI best practices and continuous model monitoring and version control with MLflow. Maintained documentation and conducted experiments comparing model effectiveness in production environments.
Data Analyst at Live Oak Bank
December 31, 2018 - July 18, 2025Automated risk reporting using Python scripts, reducing manual effort significantly. Developed robust ETL pipelines with SAS and SQL to process risk and financial datasets. Created dynamic Tableau dashboards delivering real-time insights on credit and market risks to leadership. Performed exploratory data analysis to identify trends and improve data quality. Integrated forecasting models for enhanced risk scoring accuracy. Validated and cleansed data for consistency and collaborated with IT to optimize query performance. Documented workflows and supported deployment of automated reporting aligned with business timelines and compliance requirements.
AI/ML Engineer at Evolve Bank & Trust
July 1, 2024 - PresentDesigned and implemented end-to-end AI pipelines and applied parameter-efficient fine-tuning techniques like LoRA and QLoRA for domain-specific tasks. Developed low-latency microservices using asynchronous Python programming for real-time model inference. Leveraged PyTorch, Hugging Face, and Scikit-learn for training and evaluation. Managed deployment using Docker, Kubernetes, and cloud-native solutions on platforms including Vertex AI. Collaborated with cross-disciplinary teams and contributed to strategic AI decisions. Implemented explainable AI using SHAP and LIME, automated experiment tracking with MLflow and DVC, and developed REST/GraphQL APIs to expose AI services securely. Mentored team members and enforced responsible AI practices.
AI/ML Engineer at Advance Digital Textiles
June 30, 2024 - July 31, 2025Collaborated with stakeholders to define AI/ML objectives for customer retention and support automation. Developed analytics pipelines using PySpark, SQL, and AWS S3. Architected RAG-based chatbot systems with LangChain and vector DB solutions. Built GenAI-powered tools for slide generation and deployed scalable applications on GCP. Designed ML models for churn prediction and optimized model accuracy through tuning and validation. Managed Azure resources and monitored performance. Packaged modular NLP components and integrated CI/CD workflows with GitHub Actions. Achieved measurable business impact via churn reduction and personalized marketing campaigns.
AI/ML Engineer at Colonial Life Insurance
December 31, 2022 - July 31, 2025Developed scalable backend services and agent frameworks leveraging LangChain and LangGraph to create AI chatbot solutions. Automated deployment, logging, and monitoring pipelines. Built REST APIs and integrated with Azure SQL and Cosmos DB. Evaluated GenAI tools and prototyped LLM-based assistants for insurance domain use cases. Used Vertex AI for model deployment and testing. Created modular Python components for scalable LLM support and ensured backend performance with modern monitoring tools. Authored documentation and contributed to innovation initiatives in AI agent technology.
Data Engineer at Elephant Insurance
March 31, 2021 - July 31, 2025Built and deployed ML models including logistic regression, decision trees, random forests, and neural networks for healthcare datasets. Improved model accuracy and user experience by 25%. Conducted feature engineering and ensured model interpretability with SHAP and LIME. Created REST APIs to integrate models with frontend systems. Automated data pipelines and used MLflow for version control. Delivered training modules to university students and ensured compliance with ethical AI guidelines in healthcare.
Data Analyst at Live Oak Bank
December 31, 2018 - July 31, 2025Automated risk reporting using Python scripts to reduce manual effort. Built ETL pipelines with SAS and SQL and developed Tableau dashboards to provide real-time insights on risk areas. Validated and cleansed data for accuracy and consistency. Collaborated with IT and BI teams to optimize reporting and supported deployment aligned with business timelines.
Education
Qualifications
Industry Experience
Financial Services, Healthcare, Education, Software & Internet, Professional Services, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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