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I'm an AI/ML Engineer with 5+ years of experience building scalable, GPU-accelerated machine learning systems in production environments at NVIDIA and Infosys. My focus is on GPU-accelerated deep learning, distributed training, and LLM fine-tuning, with a track record of boosting training throughput and reducing latency. I design and deliver RAG-based and multimodal AI solutions, implement robust MLOps practices, and drive enterprise AI programs with governance and compliance. I'm open to relocation to join a high-performing team delivering impactful AI at scale.…I'm an AI/ML Engineer with 5+ years of experience building scalable, GPU-accelerated machine learning systems in production environments at NVIDIA and Infosys. My focus is on GPU-accelerated deep learning, distributed training, and LLM fine-tuning, with a track record of boosting training throughput and reducing latency. I design and deliver RAG-based and multimodal AI solutions, implement robust MLOps practices, and drive enterprise AI programs with governance and compliance. I'm open to relocation to join a high-performing team delivering impactful AI at scale.

Divya Vipparla

AI Engineer, AI Developer, Data Scientist, +2

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I'm an AI/ML Engineer with 5+ years of experience building scalable, GPU-accelerated machine learning systems in production environments at NVIDIA and Infosys. My focus is on GPU-accelerated deep learning, distributed training, and LLM fine-tuning, with a track record of boosting training throughput and reducing latency. I design and deliver RAG-based and multimodal AI solutions, implement robust MLOps practices, and drive enterprise AI programs with governance and compliance. I'm open to relocation to join a high-performing team delivering impactful AI at scale.…I'm an AI/ML Engineer with 5+ years of experience building scalable, GPU-accelerated machine learning systems in production environments at NVIDIA and Infosys. My focus is on GPU-accelerated deep learning, distributed training, and LLM fine-tuning, with a track record of boosting training throughput and reducing latency. I design and deliver RAG-based and multimodal AI solutions, implement robust MLOps practices, and drive enterprise AI programs with governance and compliance. I'm open to relocation to join a high-performing team delivering impactful AI at scale.

Available to hire

I’m an AI/ML Engineer with 5+ years of experience building scalable, GPU-accelerated machine learning systems in production environments at NVIDIA and Infosys. My focus is on GPU-accelerated deep learning, distributed training, and LLM fine-tuning, with a track record of boosting training throughput and reducing latency.

I design and deliver RAG-based and multimodal AI solutions, implement robust MLOps practices, and drive enterprise AI programs with governance and compliance. I’m open to relocation to join a high-performing team delivering impactful AI at scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Machine Learning Engineer at NVIDIA

January 1, 2025 - Present

Design and optimize large-scale deep learning and generative AI models leveraging GPU-accelerated computing (CUDA, TensorRT, Triton). Improve training throughput by 40% and reduce inference latency by 30% for production AI workloads. Develop and fine-tune architectures including Transformers, LLMs, CNNs, GNNs, and diffusion models for multimodal AI across vision, NLP, and recommendations. Build distributed training pipelines with PyTorch, TensorFlow, DeepSpeed, and NVIDIA NCCL, scaling workloads across multi-GPU and multi-node clusters to process 100M+ data samples efficiently. Implement quantization, pruning, mixed-precision training (FP16/BF16), and model parallelism to reduce compute cost by 25% while maintaining accuracy. Architect high-performance inference systems using Triton, Kubernetes, Docker, and REST/gRPC APIs enabling real-time inference for 1M+ predictions per day. Integrate RAG pipelines, embeddings, vector databases, and prompt engineering to accelerate enterprise knowl

AI/ML Engineer at Infosys

February 1, 2019 - July 1, 2023

Designed and deployed end-to-end AI/ML solutions for global banking, retail, and telecom clients, contributing to initiatives delivering $170M+ in cost optimization and revenue growth. Built models including XGBoost, Gradient Boosting, Random Forest, DNNs, and Transformer-based architectures on datasets >25M records, improving predictive accuracy by 22–30% across fraud detection, churn prediction, and demand forecasting. Engineered scalable data ingestion and feature engineering pipelines using Python, SQL, Spark, and Hadoop, reducing data processing time by 35% and improving reproducibility. Developed NLP-driven automation for document processing, sentiment analysis, and entity extraction, increasing operational efficiency by 40% and reducing manual review workloads. Designed real-time inference APIs and microservices supporting 1M+ daily predictions, optimizing latency by 20% while maintaining SLA. Led model validation, hyperparameter tuning, and cross-validation to improve AUC, pr