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

I'm Sahana Duggiraju, an AI/ML Engineer with 3+ years of experience building GenAI applications, NLP pipelines, and production-scale ML systems across healthcare, e-commerce, and enterprise domains. I specialize in Transformers, LoRA/PEFT, RAG, Python, PyTorch, TensorFlow, and deploying end-to-end models via AWS SageMaker, Lambda, EKS, Docker, and Kubernetes. I design ETL and streaming data pipelines with PySpark, Kafka, Airflow, AWS Glue, and Databricks. I love integrating LangChain, LangGraph, Hugging Face, OpenAI API, and cloud-native MLOps for automated training, CI/CD, and real-time inference. I focus on delivering scalable, high-impact AI solutions that improve accuracy, efficiency, and business outcomes.…I'm Sahana Duggiraju, an AI/ML Engineer with 3+ years of experience building GenAI applications, NLP pipelines, and production-scale ML systems across healthcare, e-commerce, and enterprise domains. I specialize in Transformers, LoRA/PEFT, RAG, Python, PyTorch, TensorFlow, and deploying end-to-end models via AWS SageMaker, Lambda, EKS, Docker, and Kubernetes. I design ETL and streaming data pipelines with PySpark, Kafka, Airflow, AWS Glue, and Databricks. I love integrating LangChain, LangGraph, Hugging Face, OpenAI API, and cloud-native MLOps for automated training, CI/CD, and real-time inference. I focus on delivering scalable, high-impact AI solutions that improve accuracy, efficiency, and business outcomes.

Sahana Duggiraju

AI Engineer, Data Scientist, App Developer, +2





I'm Sahana Duggiraju, an AI/ML Engineer with 3+ years of experience building GenAI applications, NLP pipelines, and production-scale ML systems across healthcare, e-commerce, and enterprise domains. I specialize in Transformers, LoRA/PEFT, RAG, Python, PyTorch, TensorFlow, and deploying end-to-end models via AWS SageMaker, Lambda, EKS, Docker, and Kubernetes. I design ETL and streaming data pipelines with PySpark, Kafka, Airflow, AWS Glue, and Databricks. I love integrating LangChain, LangGraph, Hugging Face, OpenAI API, and cloud-native MLOps for automated training, CI/CD, and real-time inference. I focus on delivering scalable, high-impact AI solutions that improve accuracy, efficiency, and business outcomes.…I'm Sahana Duggiraju, an AI/ML Engineer with 3+ years of experience building GenAI applications, NLP pipelines, and production-scale ML systems across healthcare, e-commerce, and enterprise domains. I specialize in Transformers, LoRA/PEFT, RAG, Python, PyTorch, TensorFlow, and deploying end-to-end models via AWS SageMaker, Lambda, EKS, Docker, and Kubernetes. I design ETL and streaming data pipelines with PySpark, Kafka, Airflow, AWS Glue, and Databricks. I love integrating LangChain, LangGraph, Hugging Face, OpenAI API, and cloud-native MLOps for automated training, CI/CD, and real-time inference. I focus on delivering scalable, high-impact AI solutions that improve accuracy, efficiency, and business outcomes.

Available to hire

I’m Sahana Duggiraju, an AI/ML Engineer with 3+ years of experience building GenAI applications, NLP pipelines, and production-scale ML systems across healthcare, e-commerce, and enterprise domains. I specialize in Transformers, LoRA/PEFT, RAG, Python, PyTorch, TensorFlow, and deploying end-to-end models via AWS SageMaker, Lambda, EKS, Docker, and Kubernetes.

I design ETL and streaming data pipelines with PySpark, Kafka, Airflow, AWS Glue, and Databricks. I love integrating LangChain, LangGraph, Hugging Face, OpenAI API, and cloud-native MLOps for automated training, CI/CD, and real-time inference. I focus on delivering scalable, high-impact AI solutions that improve accuracy, efficiency, and business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

Afar

Advanced

Bashkir

Advanced

Work Experience

AI/ML Engineer at Humana

April 1, 2025 - Present

Designed and deployed end-to-end GenAI solutions using Python, PyTorch, LangChain, LLMs (LLaMA, GPT, Claude) and RAG pipelines; improved clinical operations automation by 30%. Built scalable ML models (NLP, Transformers, CNN/RNN, XGBoost) for claim analytics and healthcare risk stratification with 15–20% accuracy gains. Developed FastAPI microservices for real-time inference and integrated with AWS Lambda, EKS, and SageMaker, reducing API latency by 40%. Implemented robust MLOps pipelines (CI/CD, Docker, Kubernetes, Terraform, SageMaker Pipelines) for automated training, evaluation, and deployment. Engineered RAG systems with vector databases and OCR + NLP to extract insights from unstructured healthcare documents, tripling processing speed. Partnered with cross-functional teams on AI governance, monitoring, and HIPAA-compliant ML workflows.

Machine Learning Engineer at eBay

October 1, 2024 - March 31, 2025

Developed search relevance, ranking, and recommendation ML models using Python, Scikit-learn, PyTorch, and Transformers, boosting item discovery by 18%. Built large-scale data pipelines with PySpark, Kafka, Airflow, and AWS Glue to process high-volume marketplace data with under 5s latency. Implemented NLP-driven product classification and duplicate detection using BERT-based models and entity-resolution algorithms. Created A/B testing frameworks, automated model evaluation, and dashboards using SQL, Python, and real-time monitoring tools. Containerized and deployed ML services using Docker, Kubernetes, ECR, reducing infrastructure cost by 22%. Collaborated with product managers and data scientists to productionize models that improved user engagement and seller experience.

AI/ML Engineer at Infosys

April 1, 2021 - December 31, 2023

Designed and trained supervised and unsupervised ML models (classification, forecasting, clustering) using Python, R, XGBoost, Scikit-learn for enterprise clients across BFSI, retail, and telecom. Developed ETL and big-data pipelines using PySpark, SQL, and Airflow to manage multi-TB datasets with high reliability and performance. Built NLP solutions using spaCy, Transformers, NLU/NLG, automating customer-support workflows and reducing manual processing by 40%. Deployed ML applications using FastAPI, Docker, Kubernetes, ensuring high availability and fault tolerance. Implemented MLOps best practices including experiment tracking, model versioning, feature store integration, and automated CI/CD workflows. Collaborated with onsite/offshore teams to deliver scalable AI solutions aligned with business KPIs and client requirements.