I am an AI/ML engineer with over 11 years of experience delivering production-ready systems in recommendation, NLP, and real-time fraud detection. I specialize in interpretable ML, generative AI, and full-stack model development, taking projects from research through to scalable deployment. Throughout my career, I have worked on diverse projects such as AI-powered educational tools, graph-based recommendation systems, real-time fraud detection, and text-to-SQL analytics platforms. I am passionate about building innovative AI solutions that have real-world impact. My experience spans various technologies and sectors including e-commerce, banking, education, and insurance. I enjoy collaborating with stakeholders to deliver actionable insights and have a strong focus on model explainability and performance optimization.

Sailaja Bobburi

I am an AI/ML engineer with over 11 years of experience delivering production-ready systems in recommendation, NLP, and real-time fraud detection. I specialize in interpretable ML, generative AI, and full-stack model development, taking projects from research through to scalable deployment. Throughout my career, I have worked on diverse projects such as AI-powered educational tools, graph-based recommendation systems, real-time fraud detection, and text-to-SQL analytics platforms. I am passionate about building innovative AI solutions that have real-world impact. My experience spans various technologies and sectors including e-commerce, banking, education, and insurance. I enjoy collaborating with stakeholders to deliver actionable insights and have a strong focus on model explainability and performance optimization.

Available to hire

I am an AI/ML engineer with over 11 years of experience delivering production-ready systems in recommendation, NLP, and real-time fraud detection. I specialize in interpretable ML, generative AI, and full-stack model development, taking projects from research through to scalable deployment. Throughout my career, I have worked on diverse projects such as AI-powered educational tools, graph-based recommendation systems, real-time fraud detection, and text-to-SQL analytics platforms.

I am passionate about building innovative AI solutions that have real-world impact. My experience spans various technologies and sectors including e-commerce, banking, education, and insurance. I enjoy collaborating with stakeholders to deliver actionable insights and have a strong focus on model explainability and performance optimization.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Work Experience

AI Engineer (Internship) at ViewSonic
December 1, 2024 - August 6, 2025
Led end-to-end development of an AI-powered textbook generation system for K–12 content aligned with U.S. state education standards. Transitioned static textbooks to customizable lesson plans, applying Retrieval-Augmented Generation techniques, OpenAI embedding models, and LangChain orchestration. Developed a Django web app with RESTful API for educators and automated PDF generation. Optimized pipeline to reduce content processing time to under one minute for Grade 12.
Senior Machine Learning Engineer at Sagarsoft Inc
July 1, 2023 - August 6, 2025
Developed a graph-based recommendation system that enhanced product discovery by 12%, increased conversions by 18%, and reduced query latency by 40% for over 50K daily users. Built scalable AWS data pipelines processing 3M+ monthly events. Trained graph-based embeddings using Node2Vec and DeepWalk, implemented FAISS for fast similarity retrieval, and optimized caching with Redis. Built real-time fraud detection models with XGBoost and Autoencoders reducing fraud losses by 20%. Led the design and deployment of a natural language Text-to-SQL analytics platform improving reporting efficiency by 50%, serving 200+ business users with scalable AWS infrastructure.
Senior Data Scientist at Tata Consultancy Services
February 1, 2019 - August 6, 2025
Built customer segmentation and claims forecasting models for a US-based insurance payer, increasing customer retention by 10% and reducing forecasting errors by 17%. Developed K-Means and PCA segmentation pipelines for over 1 million policyholders to enable targeted marketing. Created Random Forest models for claim volume forecasting and validated explainability using feature importance and partial dependence plots.
Data Scientist at Tata Consultancy Services
December 1, 2015 - August 6, 2025
Designed and developed KPI dashboards for claims processing optimization in US-based healthcare provider, focusing on reducing denials, minimizing write-offs, and improving revenue cycle efficiency.

Education

Master of Science in Artificial Intelligence at Northwestern University
January 11, 2030 - August 6, 2025

Qualifications

Oracle SQL Expert
January 11, 2030 - August 6, 2025
IBM Data Scientist
January 11, 2030 - August 6, 2025

Industry Experience

Education, Financial Services, Retail, Healthcare, Software & Internet