j
jagga5025

Jagmeet S

@jagga5025

Tech Lead AI Infrastructure Engineer

India
Inglés, Hindi, Punjabí
Parte de la información aparece en idioma inglés.
Sobre mí
I’m an AI Infrastructure Engineer and Tech Lead with 5+ years of experience building scalable AI platforms, GPU infrastructure, Kubernetes environments, distributed ML systems, and LLM serving platforms. I specialize in Python, Kubernetes, Docker, PyTorch, vLLM, NCCL, Megatron-LM, MLOps, and AI infrastructure optimization. I’ve worked on platforms supporting 1024+ GPUs and 200+ AI/LLM models. I can help with LLM deployment, GPU infrastructure, Kubernetes troubleshooting, distributed training, automation, and production-ready AI solutions.... Lee más

Habilidades

j
jagga5025
Jagmeet S
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Implementación y despliegue de IA
I will deploy and configure your llm using vllm, docker and kubernetes
Contenerización de DevOps
I will troubleshoot and optimize your kubernetes infrastructure

Porfolio

Experiencia laboral

E2E_Networks Limited

E2E Networks Limited

Tiempo completo • 5 yrs

Lead Engineer

Apr 2025 - Present1 yr 5 mos

Lead the architecture and deployment of large-scale AI infrastructure supporting 1024+ GPUs. Designed high-performance networking using InfiniBand and GPUDirect RDMA, improving throughput by 35%. Built enterprise AI platforms supporting 100+ users and 200+ LLM models. Developed observability frameworks for Kubernetes-based clusters and optimized distributed workloads using PyTorch and Megatron-LM.

Senior Software Engineer

Apr 2024 - Mar 202511 mos

Led the development of the Tier AI/ML Platform, reducing model training time by 30%. Built a containerized Jupyter Notebook platform for 100+ concurrent users. Spearheaded LLM serving and Kubernetes-based serverless inference, enabling deployment of 200+ models while reducing infrastructure costs by 40% through automatic scale-to-zero functionality.

Software Engineer

Jul 2021 - Mar 20242 yrs 8 mos

Contributed to a managed RDS platform supporting PostgreSQL, MySQL, and MariaDB, achieving 99.9% uptime. Enhanced reliability through centralized logging and OpenNebula-based snapshots. Designed Django-based microservices and automation systems, optimizing data processing through RabbitMQ and Elasticsearch integrations.