I am an AI & ML Engineer with 4+ years of experience designing, deploying, and optimizing AI/ML and Generative AI solutions for global enterprises. I specialize in GPU-accelerated deep learning, LLMs, RAG pipelines, LangChain, OpenAI APIs, and vector databases, delivering scalable, production-ready systems that drive real results. I excel at building end-to-end data pipelines, NLP, computer vision, and predictive analytics dashboards. I thrive in cross-functional teams and collaborate closely with engineering, product, and customer groups to align AI initiatives with business goals, using MLOps, CI/CD, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP) to accelerate adoption and create competitive advantage.

Namruth Goud

I am an AI & ML Engineer with 4+ years of experience designing, deploying, and optimizing AI/ML and Generative AI solutions for global enterprises. I specialize in GPU-accelerated deep learning, LLMs, RAG pipelines, LangChain, OpenAI APIs, and vector databases, delivering scalable, production-ready systems that drive real results. I excel at building end-to-end data pipelines, NLP, computer vision, and predictive analytics dashboards. I thrive in cross-functional teams and collaborate closely with engineering, product, and customer groups to align AI initiatives with business goals, using MLOps, CI/CD, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP) to accelerate adoption and create competitive advantage.

Available to hire

I am an AI & ML Engineer with 4+ years of experience designing, deploying, and optimizing AI/ML and Generative AI solutions for global enterprises. I specialize in GPU-accelerated deep learning, LLMs, RAG pipelines, LangChain, OpenAI APIs, and vector databases, delivering scalable, production-ready systems that drive real results.

I excel at building end-to-end data pipelines, NLP, computer vision, and predictive analytics dashboards. I thrive in cross-functional teams and collaborate closely with engineering, product, and customer groups to align AI initiatives with business goals, using MLOps, CI/CD, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP) to accelerate adoption and create competitive advantage.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

AI/ML Engineer at NVIDIA
January 1, 2025 - Present
Designed and implemented advanced ML and deep learning models optimized for GPU acceleration, increasing training throughput on NVIDIA hardware and powering solutions across AI, gaming, and accelerated computing. Developed predictive and generative AI systems using LLMs, RAG pipelines, LangChain, Pinecone, and FAISS to enable real-time insights and improve response accuracy. Conducted large-scale data collection, cleaning, and EDA with Python, SQL, and Spark to inform product strategy. Optimized ML workloads via profiling, kernel parallelization, and fine-tuning to reduce training latency and improve inference efficiency. Collaborated with enterprise customers and engineering teams to deploy GPU-accelerated ML/DL solutions into production ecosystems.
Data Scientist at Cognizant
May 1, 2019 - July 1, 2023
Delivered ML, deep learning, and statistical models using Python, R, and Scikit-learn, improving forecasting accuracy and operational efficiency by 20% across finance and retail clients. Designed and deployed LLM-powered NLP applications for classification, summarization, and document intelligence, reducing manual review effort by 35% and increasing processing accuracy. Built scalable computer vision and video analytics pipelines in TensorFlow and PyTorch, automating image-intensive workflows and generating client savings of $50K+ annually. Engineered robust data pipelines with Python, SQL, and Airflow to manage large-scale ingestion and transformation, ensuring high-quality datasets and reliable model performance. Collaborated with business, compliance, and legal teams to encode domain rules into AI solutions, ensuring regulatory alignment and driving trust in production deployments. Leveraged AWS, Azure, and GCP to deploy scalable ML and Generative AI applications with enterprise-gra

Education

Master of Science in Data Science at University of Maryland Baltimore County
August 1, 2023 - May 1, 2025

Qualifications

AWS Certified Cloud Practitioner
January 11, 2030 - January 5, 2026

Industry Experience

Software & Internet, Professional Services, Gaming, Media & Entertainment