🟢 Available for Opportunities
AI / ML Engineer
Prem Babu
Kanaparthi
I build production-ready AI systems, working across large language models, retrieval-augmented generation, and MLOps.
My focus is on scalable, reliable machine learning systems that perform in real-world environments. I'm currently pursuing a Master's in Artificial Intelligence at Rochester Institute of Technology.
About Me
A brief snapshot of how I think about building real-world AI systems.
Who I Am
I'm an AI/ML engineer focused on building production-ready systems across large language models, retrieval-augmented generation, and MLOps.
I care deeply about reliability, scalability, and shipping machine learning systems that work in real-world environments — not just experiments.
What I Work On
A snapshot of my experience so far
Work Experience
A progression through real-world AI and ML roles, focused on production systems.
Generative AI Engineer
- •Built multi-model LLM inference platform achieving 1.5s latency with 18% cost reduction across 25+ deployments
- •Designed LiteLLM routing system with AWS Bedrock and SageMaker achieving 95%+ accuracy
- •Implemented comprehensive guardrails and monitoring reducing incidents by 42%
- •Built production evaluation pipelines for automated quality validation and model performance tracking
Data Science Intern
- •Reduced search model iteration time by 90% and improved ranking accuracy by 10%
- •Built scalable PySpark ETL pipelines and centralized feature store for data consistency
- •Developed TF-IDF and Naive Bayes ranking models for production search systems
- •Created ML Playbook adopted by 3 teams, reducing integration errors by 35%
ML Engineer Intern
- •Built phishing detection system achieving 92% accuracy with 20% fewer false positives
- •Implemented TensorFlow/Keras MLP with advanced optimization techniques
- •Conducted F1-driven hyperparameter tuning for production deployment readiness
- •Developed comprehensive testing and validation pipelines for model reliability
Featured Projects
Selected work demonstrating production AI systems and real-world deployment.
How I Build AI Systems
A practical breakdown of the layers behind my work.
Modeling & Intelligence
Training, adapting, and evaluating models for real-world performance.
Inference & Applications
Turning models into reliable, usable applications.
Infrastructure & MLOps
Deploying, scaling, and monitoring production AI systems.
Data & Platforms
Building data pipelines and analytics foundations.
Education & Achievements
Academic background and research experience.
Education
Master of Science in Artificial Intelligence
Bachelor of Technology in Computer Science
Research
Lightweight Channel Attention for Efficient CNNs
Research on efficient attention mechanisms for CNNs
View paperCertifications
Stanford Machine Learning Specialization
View certificateResume
View or download my professional resume.
Prem Babu Kanaparthi
AI/ML Engineer — MS in Artificial Intelligence
AI/ML engineer focused on production LLM systems, RAG pipelines, and scalable ML infrastructure.
Get In Touch
I'm always open to discussing opportunities, collaborations, or interesting problems.