Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Sravya, a Senior AI/ML Engineer with 8+ years of experience designing and deploying enterprise-scale AI/ML and Generative AI solutions across finance, healthcare, and IT. I build production-grade, compliant, and scalable systems with a focus on reliability, governance, and measurable impact. I specialize in Generative AI, NLP, and LLMs, with hands-on experience fine-tuning GPT, Claude, LLaMA, BERT, and RoBERTa for regulated use cases. I design RAG architectures, multi-agent orchestration, and secure data pipelines, and I enjoy collaborating with cross-functional teams to drive ethical, explainable AI adoption.…Hi, I’m Sravya, a Senior AI/ML Engineer with 8+ years of experience designing and deploying enterprise-scale AI/ML and Generative AI solutions across finance, healthcare, and IT. I build production-grade, compliant, and scalable systems with a focus on reliability, governance, and measurable impact. I specialize in Generative AI, NLP, and LLMs, with hands-on experience fine-tuning GPT, Claude, LLaMA, BERT, and RoBERTa for regulated use cases. I design RAG architectures, multi-agent orchestration, and secure data pipelines, and I enjoy collaborating with cross-functional teams to drive ethical, explainable AI adoption.

Sravya Kuchipudi

AI Engineer, Data Scientist, Developer, +6





Hi, I’m Sravya, a Senior AI/ML Engineer with 8+ years of experience designing and deploying enterprise-scale AI/ML and Generative AI solutions across finance, healthcare, and IT. I build production-grade, compliant, and scalable systems with a focus on reliability, governance, and measurable impact. I specialize in Generative AI, NLP, and LLMs, with hands-on experience fine-tuning GPT, Claude, LLaMA, BERT, and RoBERTa for regulated use cases. I design RAG architectures, multi-agent orchestration, and secure data pipelines, and I enjoy collaborating with cross-functional teams to drive ethical, explainable AI adoption.…Hi, I’m Sravya, a Senior AI/ML Engineer with 8+ years of experience designing and deploying enterprise-scale AI/ML and Generative AI solutions across finance, healthcare, and IT. I build production-grade, compliant, and scalable systems with a focus on reliability, governance, and measurable impact. I specialize in Generative AI, NLP, and LLMs, with hands-on experience fine-tuning GPT, Claude, LLaMA, BERT, and RoBERTa for regulated use cases. I design RAG architectures, multi-agent orchestration, and secure data pipelines, and I enjoy collaborating with cross-functional teams to drive ethical, explainable AI adoption.

Available to hire

Hi, I’m Sravya, a Senior AI/ML Engineer with 8+ years of experience designing and deploying enterprise-scale AI/ML and Generative AI solutions across finance, healthcare, and IT. I build production-grade, compliant, and scalable systems with a focus on reliability, governance, and measurable impact.

I specialize in Generative AI, NLP, and LLMs, with hands-on experience fine-tuning GPT, Claude, LLaMA, BERT, and RoBERTa for regulated use cases. I design RAG architectures, multi-agent orchestration, and secure data pipelines, and I enjoy collaborating with cross-functional teams to drive ethical, explainable AI adoption.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Work Experience

Senior Generative AI Engineer at Citibank

January 1, 2024 - Present

Designed and deployed an advanced generative AI system to support credit analysts in deriving regulatory-compliant insights from large volumes of structured and unstructured data. The project included architecting RAG pipelines with LangChain and LlamaIndex, fine-tuning LLaMA, Claude, and GPT models with LoRA/PEFT, implementing GPU-accelerated inference pipelines on AWS EKS with autoscaling and dynamic batching, and building scalable microservices using FastAPI and Flask. Automated CI/CD workflows ensured seamless deployment and monitoring frameworks tracked drift and accuracy. Ensured enterprise-grade compliance and security controls while leading knowledge-sharing workshops.

AI/ML Engineer at Humana

December 31, 2023 - September 4, 2025

Developed and deployed multilingual AI agents for customer support using domain-specific transformers and embeddings to handle healthcare interactions. Designed large-scale ETL and ML pipelines with Azure Databricks, deployed FastAPI microservices on Azure Kubernetes Service, and optimized TensorFlow Serving endpoints for high availability. Implemented automated drift detection and retraining pipelines integrating MLflow and Azure ML. Delivered explainability dashboards and integrated HIPAA-compliant security with Azure Key Vault and encrypted pipelines. Developed CI/CD workflows with Azure DevOps and GitHub Actions and created performance visualization dashboards for stakeholders.

Data Scientist / ML Engineer at Kaiser Permanente

July 31, 2022 - September 4, 2025

Led AI initiatives for EHR and medical documentation automation, developing clinical NLP models using Hugging Face Transformers for entity extraction and summarization. Built containerized inference APIs integrated into healthcare IT systems and established HIPAA-compliant data pipelines with encryption, RBAC, and anonymization. Built monitoring frameworks using MLflow for model drift and version control. Delivered explainability tools for transparency and designed hybrid database architectures combining SQL and MongoDB. Collaborated with clinical teams in Agile development cycles producing audit-ready documentation.

Data Engineer at Morgan Stanley

July 31, 2019 - September 4, 2025

Contributed to enterprise data pipelines and ML integration frameworks focused on scalable ETL workflows and hybrid database architectures. Built and deployed REST APIs with FastAPI and TensorFlow to automate IT incident management workflows. Implemented containerized services with Docker and Kubernetes ensuring scalable and fault-tolerant deployments. Applied anomaly detection pipelines to enhance system reliability and integrated ML lifecycle management with MLflow. Ensured compliance and security with RBAC, encryption, and governance documentation.

Python Developer at Wipro Technologies

November 30, 2018 - September 4, 2025

Developed Python-based NLP solutions for automating customer support in call center operations, including text classification, entity recognition, sentiment analysis, and feature engineering. Designed pipelines using TF-IDF, logistic regression, SpaCy, and NLTK. Built Word2Vec embeddings for query clustering and retrieval. Automated dataset labeling and managed model version control with Git for reproducibility in NLP experiments.

Senior Generative AI Engineer at Citibank

January 1, 2024 - Present

Designed and deployed advanced generative AI systems supporting credit analysts with regulatory-compliant insights from large datasets. Architected end-to-end RAG pipelines using LangChain framework and multiple vector databases for secure document retrieval. Fine-tuned LLMs, implemented GPU-accelerated inference, and orchestrated multi-model ensemble agents ensuring high availability and SLA compliance. Developed containerized microservices and automated CI/CD pipelines for scalable AI service delivery. Established monitoring frameworks for model drift, accuracy, and usage patterns while integrating strict compliance measures including IAM, encryption, and RBAC. Led workshops on RAG design, prompt engineering, and ethical AI deployment.

AI/ML Engineer at Humana

December 31, 2023 - September 4, 2025

Developed and deployed multilingual NLP agents for healthcare customer support platforms, focusing on real-time interaction processing. Built large-scale ETL and ML pipelines on Azure Databricks for distributed training. Created scalable microservices on Azure Kubernetes Service utilizing FastAPI and TensorFlow Serving with load balancing. Implemented drift detection and continuous retraining pipelines ensuring model accuracy. Delivered explainability dashboards for compliance validation. Managed hybrid storage of structured and unstructured healthcare data complying with HIPAA security standards. Automated CI/CD workflows and created visualization tools for AI system monitoring.

Data Scientist/ML Engineer at Kaiser Permanente

July 31, 2022 - September 4, 2025

Led AI initiatives to automate EHR processing with clinical NLP models using transformer architectures for entity recognition and summarization. Deployed containerized real-time inference APIs integrated into healthcare workflows with strict HIPAA compliance. Established monitoring frameworks for model drift and version control. Delivered explainable AI tools with token-level interpretability. Designed hybrid database solutions combining relational and NoSQL databases to support compliance and retrieval. Collaborated closely with clinical and data engineering teams using Agile methodologies to ensure regulatory readiness.

Data Engineer at Morgan Stanley

July 31, 2019 - September 4, 2025

Developed scalable ETL workflows processing structured and unstructured data enhancing ML training and analytics. Built and deployed REST APIs integrating ML classification models for IT incident management automation. Designed hybrid data architectures boosting retrieval efficiency. Utilized Docker and Kubernetes for containerized, fault-tolerant deployments. Applied anomaly detection pipelines improving system reliability. Integrated MLOps with MLflow for experiment tracking and version control. Ensured enterprise security and compliance through RBAC, encryption, and audit documentation.

Python Developer at Wipro Technologies

November 30, 2018 - September 4, 2025

Developed Python-based NLP solutions for automating customer support including text classification, named entity recognition, and sentiment analysis. Created pipelines using TF-IDF, logistic regression, SpaCy, and NLTK. Applied Word2Vec embeddings for query clustering in Q&A systems. Engineered data preprocessing routines and automated dataset labeling with heuristic strategies. Managed model version control to ensure experiment reproducibility.

Senior Generative AI Engineer at Citibank

January 1, 2024 - Present

Designed and deployed an advanced generative AI system to support credit analysts with regulatory-compliant insights from large volumes of structured and unstructured data. Implemented RAG pipelines, fine-tuned LLMs, and GPU-accelerated inference on AWS EKS, and built multi-model ensembles with routing to meet SLA targets. Developed microservices with FastAPI/Flask, containerized on Docker, and deployed on AWS Fargate/Lambda, with SageMaker-based experimentation and CI/CD pipelines. Evaluated Azure OpenAI Services and AWS Bedrock for benchmarking, and built observability with MLflow, CloudWatch, and CloudTrail to monitor drift and usage. Enforced security controls (IAM/RBAC, encryption, Secrets Manager) and created hybrid storage for transactional knowledge retrieval.

AI/ML Engineer at Humana

December 1, 2023 - September 9, 2025

Developed multilingual NLP automation for healthcare customer support, integrating domain-specific transformers, real-time inference APIs, and continuous retraining pipelines. Built multilingual AI agents using BERT-based classifiers,PySpark ETL pipelines with Azure Databricks, and FastAPI microservices deployed on AKS. Optimized TensorFlow Serving endpoints, implemented drift detection with MLflow and Azure ML, and configured hybrid storage with Azure SQL/Cosmos DB. Delivered explainability dashboards and implemented HIPAA-compliant security controls and CI/CD workflows for model versioning and deployment.

Data Scientist / ML Engineer at Kaiser Permanente

July 1, 2022 - September 9, 2025

Led AI initiatives for EHRs and medical documentation automation, including NER with transformer models and summarization for discharge notes. Built HIPAA-compliant pipelines, deployed containerized inference APIs with FastAPI and TensorFlow Serving, and established observability with MLflow. Created hybrid SQL/MongoDB storage for structured and unstructured data, and collaborated with clinical teams to produce audit-ready documentation and compliant governance.

Data Engineer at Morgan Stanley

July 1, 2019 - September 9, 2025

Contributed to enterprise-scale data pipelines and ML integration frameworks, including scalable ETL, hybrid relational/NoSQL architectures, and MLOps pipelines. Deployed ML models through REST APIs (FastAPI) and containerized services (Docker/Kubernetes), implemented anomaly detection, and established MLflow-based experiment tracking and governance to ensure compliance and reproducibility.

Python Developer at Wipro Technologies

November 1, 2018 - September 9, 2025

Developed Python-based NLP solutions for automated customer support, including text classification pipelines (TF-IDF, Logistic Regression), NER with SpaCy, sentiment analysis (NLTK/VADER), and Word2Vec-based clustering for Q&A systems. Built preprocessing routines, engineered feature sets, and managed reproducible model versioning with Git in fast-paced delivery environments.

Senior Generative AI Engineer at Citibank

January 1, 2024 - Present

Built and deployed a Generative AI–powered chatbot for CitiBank enabling secure customer and banker interactions for account queries, policy compliance checks, and personalized financial insights. Implemented retrieval-augmented generation (RAG) with LangChain and LlamaIndex connected to Pinecone for compliance manuals, product docs, AML/KYC rules; fine-tuned financial-domain LLMs on SageMaker; developed multi-agent architecture with LangGraph and AutoGen; integrated with CitiBank core systems via REST/gRPC; implemented compliance guardrails, data privacy, and audit logging; built observability dashboards; and automated CI/CD and testing; mentored junior engineers.

AI/ML Engineer at Kaiser Permanente

December 1, 2023 - September 19, 2025

Developed NLP-driven multilingual AI agents, ETL/ML pipelines on Azure Databricks, speech-to-text pipelines, fast API microservices on AKS, automated drift detection, HIPAA-compliant security, explainability dashboards, and CI/CD with Azure DevOps; embedded security with Key Vault; built copilot solutions with LangChain and Azure OpenAI; designed dashboards with Power BI.

Data Scientist/ML Engineer at Morgan Stanley

July 1, 2022 - September 19, 2025

Led AI/ML initiatives to automate electronic health records (EHRs) and clinical documentation, focusing on NER for medical entities, transformer-based summarization, and HIPAA-compliant pipelines; containerized inference APIs with FastAPI and TensorFlow Serving; drift monitoring with MLflow; explainable AI with token-level interpretability.

Data Engineer at Wipro Technologies

July 1, 2019 - September 19, 2025

Contributed to scalable ETL workflows and ML integration frameworks; built REST APIs with FastAPI and TensorFlow; hybrid storage architectures; containerized services with Docker/Kubernetes; implemented anomaly detection and secure MLOps practices; RBAC and encryption for compliance; collaborative Agile/Scrum development.

Python Developer

November 1, 2018 - September 19, 2025

Developed Python-based NLP automation solutions for text processing, including classification, NER, sentiment analysis, and feature engineering; built preprocessing pipelines and automated labeled data generation; worked in an Agile environment.