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Hi, I'm Ramya Sri Bobbilla, an AI/ML Engineer with 4 years of enterprise experience architecting, deploying, and scaling large-scale ML and Generative AI solutions. I specialize in end-to-end ML pipelines, distributed data systems, fine-tuning open-source models, and building robust MLOps on AWS, Azure, and GCP. I enjoy turning complex data into actionable business value, reducing latency, and enabling high-availability workflows for financial services and e-commerce. My toolkit includes PyTorch, LangChain, MLflow, Docker, Kubernetes, and a passion for translating business goals into measurable ML outcomes.…Hi, I'm Ramya Sri Bobbilla, an AI/ML Engineer with 4 years of enterprise experience architecting, deploying, and scaling large-scale ML and Generative AI solutions. I specialize in end-to-end ML pipelines, distributed data systems, fine-tuning open-source models, and building robust MLOps on AWS, Azure, and GCP. I enjoy turning complex data into actionable business value, reducing latency, and enabling high-availability workflows for financial services and e-commerce. My toolkit includes PyTorch, LangChain, MLflow, Docker, Kubernetes, and a passion for translating business goals into measurable ML outcomes.

Ramya Sri Bobbilla

AI Engineer, Data Scientist, Data Analyst, +2

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Hi, I'm Ramya Sri Bobbilla, an AI/ML Engineer with 4 years of enterprise experience architecting, deploying, and scaling large-scale ML and Generative AI solutions. I specialize in end-to-end ML pipelines, distributed data systems, fine-tuning open-source models, and building robust MLOps on AWS, Azure, and GCP. I enjoy turning complex data into actionable business value, reducing latency, and enabling high-availability workflows for financial services and e-commerce. My toolkit includes PyTorch, LangChain, MLflow, Docker, Kubernetes, and a passion for translating business goals into measurable ML outcomes.…Hi, I'm Ramya Sri Bobbilla, an AI/ML Engineer with 4 years of enterprise experience architecting, deploying, and scaling large-scale ML and Generative AI solutions. I specialize in end-to-end ML pipelines, distributed data systems, fine-tuning open-source models, and building robust MLOps on AWS, Azure, and GCP. I enjoy turning complex data into actionable business value, reducing latency, and enabling high-availability workflows for financial services and e-commerce. My toolkit includes PyTorch, LangChain, MLflow, Docker, Kubernetes, and a passion for translating business goals into measurable ML outcomes.

Available to hire

Hi, I’m Ramya Sri Bobbilla, an AI/ML Engineer with 4 years of enterprise experience architecting, deploying, and scaling large-scale ML and Generative AI solutions. I specialize in end-to-end ML pipelines, distributed data systems, fine-tuning open-source models, and building robust MLOps on AWS, Azure, and GCP.

I enjoy turning complex data into actionable business value, reducing latency, and enabling high-availability workflows for financial services and e-commerce. My toolkit includes PyTorch, LangChain, MLflow, Docker, Kubernetes, and a passion for translating business goals into measurable ML outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

AI / Machine Learning Engineer at Mastercard

January 1, 2025 - Present

Architected and deployed enterprise-grade Retrieval-Augmented Generation (RAG) systems using LangChain, OpenAI APIs, and FAISS; built an LLM-powered internal knowledge assistant leveraging GPT-4 and Pinecone; fine-tuned open-source LLMs (LLaMA-2, Falcon) on domain-specific financial datasets; productionized AI models with Docker, Kubernetes, and FastAPI; orchestrated MLOps pipelines with MLflow and Apache Airflow; designed prompt strategies for GPT-4, Claude, and Gemini; applied NLP techniques including NER, sentiment analysis, and summarization to extract semantic insights from enterprise financial data; conducted A/B testing and model performance analysis with SQL and Power BI.

Machine Learning Engineer at Amazon

June 1, 2021 - August 1, 2023

Developed and optimized supervised machine learning models for demand forecasting, pricing optimization, and personalized product recommendations; built robust NLP pipelines for text classification, sentiment analysis, and NER leveraging BERT, spaCy, and NLTK; deployed real-time inference services using FastAPI and Flask; implemented production computer vision architectures for automated defect detection using TensorFlow and OpenCV; streamlined large-scale data processing pipelines via Apache Spark and Airflow; utilized Amazon SageMaker for end-to-end ML lifecycle management; designed executive analytics dashboards in Power BI to translate ML outputs into actionable insights.