Ravi Kishore Chitakani — Software Engineer

I am an experienced AI Infrastructure Architect specialising in building next-generation AI Factories and ultra-low-latency GPU networking fabrics. I bring a unique blend of bare-metal networking expertise, AI-driven architectures, and automation-first principles to design scalable, high-bandwidth data center fabrics for massive AI workloads. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐀𝐈 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐇𝐚𝐫𝐝𝐰𝐚𝐫𝐞: NVIDIA AI SuperPOD, DGX, NVL72, GB300, B200, H200. GPU Networking: InfiniBand, Lossless RoCEv2, DPUs, congestion control (PFC, ECN, DCQCN), ultra-low-latency distributed training fabrics. 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: EVPN-VXLAN, multi-tenant architectures, VPC Networking, DPU SDN, Cisco SDN (ACI, SD-Access), SASE. 𝐎𝐩𝐞𝐧 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠: SONiC, disaggregated software-defined networking stacks for Tier-1 cloud environments. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐞𝐯𝐎𝐩𝐬: Infrastructure as code utilizing Python, Pulumi, Ansible, and Kubernetes for end-to-end network orchestration. With extensive hands-on experience in both frontend cloud scaling and backend AI fabric design, I help organizations transition from traditional architectures to highly automated, AI-ready data centers. If you are building hyperscale AI solutions, designing next-gen GPU clusters, or optimizing multi-tenant AI fabrics, let’s connect!

Stackforce AI infers this person is a highly skilled AI Infrastructure Architect specializing in advanced networking solutions for data centers.

Location: Hyderabad, Telangana, India

Experience: 11 yrs 3 mos