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

Hi, I’m Naveen Reddy, an AI/ML Engineer with 4+ years of hands-on experience building and maintaining production-grade ML and LLM-based systems. I specialize in RAG pipelines, embeddings, model evaluation, experiment tracking, and REST-based deployment, delivering measurable improvements in accuracy, relevance, and efficiency. I work across data preprocessing, feature engineering, inference monitoring, and retraining workflows on cloud platforms, collaborating with cross-functional teams to enhance model performance and operational reliability. I enjoy turning complex data into practical AI solutions that scale with business needs.…Hi, I’m Naveen Reddy, an AI/ML Engineer with 4+ years of hands-on experience building and maintaining production-grade ML and LLM-based systems. I specialize in RAG pipelines, embeddings, model evaluation, experiment tracking, and REST-based deployment, delivering measurable improvements in accuracy, relevance, and efficiency. I work across data preprocessing, feature engineering, inference monitoring, and retraining workflows on cloud platforms, collaborating with cross-functional teams to enhance model performance and operational reliability. I enjoy turning complex data into practical AI solutions that scale with business needs.

Naveen Reddy

AI Engineer, Data Scientist, Full Stack Developer, +2





Hi, I’m Naveen Reddy, an AI/ML Engineer with 4+ years of hands-on experience building and maintaining production-grade ML and LLM-based systems. I specialize in RAG pipelines, embeddings, model evaluation, experiment tracking, and REST-based deployment, delivering measurable improvements in accuracy, relevance, and efficiency. I work across data preprocessing, feature engineering, inference monitoring, and retraining workflows on cloud platforms, collaborating with cross-functional teams to enhance model performance and operational reliability. I enjoy turning complex data into practical AI solutions that scale with business needs.…Hi, I’m Naveen Reddy, an AI/ML Engineer with 4+ years of hands-on experience building and maintaining production-grade ML and LLM-based systems. I specialize in RAG pipelines, embeddings, model evaluation, experiment tracking, and REST-based deployment, delivering measurable improvements in accuracy, relevance, and efficiency. I work across data preprocessing, feature engineering, inference monitoring, and retraining workflows on cloud platforms, collaborating with cross-functional teams to enhance model performance and operational reliability. I enjoy turning complex data into practical AI solutions that scale with business needs.

Available to hire

Hi, I’m Naveen Reddy, an AI/ML Engineer with 4+ years of hands-on experience building and maintaining production-grade ML and LLM-based systems. I specialize in RAG pipelines, embeddings, model evaluation, experiment tracking, and REST-based deployment, delivering measurable improvements in accuracy, relevance, and efficiency.

I work across data preprocessing, feature engineering, inference monitoring, and retraining workflows on cloud platforms, collaborating with cross-functional teams to enhance model performance and operational reliability. I enjoy turning complex data into practical AI solutions that scale with business needs.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

AI/ML Engineer at Qualcomm

August 1, 2024 - Present

Led LLM-based retrieval pipelines with embeddings and vector indexing to improve contextual answer relevance by 46% and reduce manual document lookups. Built structured feature pipelines for classification, boosting downstream analytics used in operational reporting and cross-functional decisions by 43%. Implemented evaluation tracking (precision, recall, latency, hallucination patterns) to reduce unstable outputs by 48%. Deployed inference APIs via containerized services, cutting response times by 44% and stabilizing real-time usage. Improved data preprocessing and drift monitoring to maintain performance across quarterly data shifts and retraining cycles, lowering degradation by 45%.

AI/ML Engineer at Wipro

January 1, 2020 - December 31, 2022

Developed ML models for customer behavior classification, achieving 42% alignment with business metrics. Standardized features and validated datasets to reduce recurring training inconsistencies by 47%. Implemented batch scoring pipelines for high-volume structured data, reducing runtime interruptions by 49%. Used cross-validation and hyperparameter exploration to improve class balance by 44%. Exposed REST-based model endpoints to internal systems, reducing manual scoring by 45%, and established experiment tracking to boost reproducibility.