Headline

AI Cloud Solutions Architect | Proven expertise in AI/ML, AGENTIC AI | Network Automation, Cloud Technologies. Certified JNCIS across Devops, Wireless Technologies, Routing

About

Driving the Future of Network Automation & AI-Powered Observability As a Technical Solutions Architect at Juniper Networks, I bridge the gap between cutting-edge technology and real-world business needs, working closely with go-to-market teams and product managers to align customer requirements with innovative network solutions. My Expertise: AI & Automation: Developing AI Agents and MCP Servers for intelligent network automation, leveraging LLMs, SLMs, and VLMs for dynamic decision-making and anomaly detection Network Observability & AIOps: Deep expertise in telemetry (gNMI, gRPC), SNMP, flow analytics (IPFIX, sFlow), and AI-driven network insights Enterprise Solutions: 6+ years specializing in EMS/NMS architectures, serving major service providers across APAC including Telstra, Singtel, Bharti Airtel, and Globe Cloud-Native Development: Microservices architecture, Kubernetes orchestration, and containerization strategies for scalable automation solutions Beyond Technology: I'm passionate about democratizing AI-driven network automation through customer-facing technical discussions and educational workshops. Whether it's designing SDN architectures or implementing AIOps solutions, I thrive on transforming complex technical challenges into business opportunities. Currently exploring the intersection of Agentic AI and network automation to help enterprises and service providers build more intelligent, self-driving networks.

Location

Bengaluru

AI stack

antigravity

codex

claudecode

Work experience

AI Cloud Architect - Pre Sales at Neysa, Feb 2026 - Present · 7 mos, Bengaluru, Karnataka, India, Architecting and building next-generation NeoCloud infrastructure for AI workloads, collaborating closely with engineering, and product teams across compute, distributed storage, and high-performance networking. Designing end-to-end AI platforms that integrate GPU infrastructure, distributed storage systems (Ceph, Weka), and AI-optimized networking (RoCEv2) for large-scale model training and inference. Leading deployment of LLM inference systems using high-performance frameworks such as vLLM and SGLang, optimized for throughput, latency, and multi-tenant workloads. Developing and deploying AI agents and LLM-powered solutions using frontier models (Claude, OpenAI, Gemini) and open-weight models (LLaMA, Mistral, Qwen) across both cloud and on-prem environments. Implementing custom fine-tuning pipelines (LoRA / QLoRA) to tailor models for enterprise-specific use cases and production deployments. Providing technical leadership to customers (startups, enterprises, academia) by translating business requirements into scalable AI infrastructure and platform solutions. Driving cloud migration strategies from AWS and GCP to Neysa AI Cloud by demonstrating performance, cost efficiency, and architectural advantages of NeoCloud platforms. Building internal tools such as a GPU sizing and cost optimization calculator, enabling transparency and better decision-making for AI workload deployment. Bringing deep expertise in NVIDIA GPU architectures (L4 → H100/B300 class) and optimizing infrastructure for high-performance AI workloads.

Technical Solutions Architect at Juniper Networks, Sep 2024 - Jan 2026 · 1 yr 5 mos, Bengaluru, Karnataka, India, Global Collaboration: Collaborate closely with Go-To-Market sales engineers and Product Managers globally across APAC & ANZ, EMEA, and AMER to align customer requirements with product development. Customer-Centric Solutions: Actively engaged in service provider network design discussions, NMS product architecture design, and EMS/NMS product user experience design discussions. AIOPS Innovation: Hands-on experience developing deep learning models using PyTorch, translating customer requirements into actionable AIOPS use cases, and collaborating with Product Managers to bring them to fruition. Network Automation Expertise: Delivered multiple successful Customer PoCs and Technical RFP responses for Network Automation use cases, including Device Onboarding, Service Orchestration, Traffic Engineering, and AIOps. Juniper Paragon Automation: Deep expertise in Juniper NMS Paragon Automation, including Paragon Insights (AI-driven network assurance), EMS system, Active Assurance, Service Orchestration, and Pathfinder/Planner for Traffic Engineering. Hands-on experience designing, implementing, and optimizing these solutions for service providers. Cloud-Native Prowess: Hands-on experience with cloud-native products, demonstrating strong knowledge of Docker and Kubernetes. Automation Architectures: Deep understanding of stateful and stateless automation architectures, with experience exploring workflow-based automation using BPMNs and third-party solutions like Anuta Networks' ATOM. Network Protocols & Data Insights: Solid grasp of essential networking RFCs and their automation relevance. Proficient in data collection and monitoring systems like SNMP, Netconf, Telemetry (OpenConfig, gRPC, GNMI), Syslog, and flow analytics (IPFIX, sFlow).

Technical Solutions Architect at Juniper Networks, Jul 2024 - Sep 2024 · 3 mos, Singapore, Global Collaboration: Collaborate closely with Go-To-Market sales engineers and Product Managers globally across APAC & ANZ, EMEA, and AMER to align customer requirements with product development. Customer-Centric Solutions: Actively engaged in service provider network design discussions, NMS product architecture design, and EMS/NMS product user experience design discussions. AIOPS Innovation: Hands-on experience developing deep learning models using PyTorch, translating customer requirements into actionable AIOPS use cases, and collaborating with Product Managers to bring them to fruition. Network Automation Expertise: Delivered multiple successful Customer PoCs and Technical RFP responses for Network Automation use cases, including Device Onboarding, Service Orchestration, Traffic Engineering, and AIOps. Cloud-Native Prowess: Hands-on experience with cloud-native products, demonstrating strong knowledge of Docker and Kubernetes. Automation Architectures: Deep understanding of stateful and stateless automation architectures, with experience exploring workflow-based automation using BPMNs and third-party solutions like Anuta Networks' ATOM. Network Protocols & Data Insights: Solid grasp of essential networking RFCs and their automation relevance. Proficient in data collection and monitoring systems like SNMP, Netconf, Telemetry (OpenConfig, gRPC, GNMI), Syslog, and flow analytics (IPFIX, sFlow).

Systems Engineer Specialist (APAC Center of Excellence) at Juniper Networks, Jul 2018 - Jun 2024 · 6 yrs, Singapore, Subject Matter Expert: Recognized as an SME in EMS/NMS solutions, providing pre-sales technical consulting for Juniper Networks Paragon Automation Suite. Technical Leadership: Demonstrated in-depth knowledge of Juniper Networks NMS solutions and architecture, working closely with products like Healthbot and Paragon Applications. Customer-Centric Approach: Partnered effectively with Account Managers to understand customer needs, providing technical expertise through demos, presentations, PoCs, and PoVs. Lab Development: Actively involved in developing labs for APAC Systems Engineers to showcase Juniper products to customers. Innovation & Exploration: Developed a network application detection solution using packet capture and deep learning, demonstrating a proactive approach to leveraging emerging technologies.

Research Assistant Intern at Civil Aviation Authority of Singapore, Sep 2017 - Dec 2017 · 4 mos, Singapore, Data analysis on aviation data and compute KPIs (key performance indicators) using statistics and data science methods

Software Engineer at Wipro, Oct 2014 - Apr 2017 · 2 yrs 7 mos, Greater Bengaluru Area, • Worked on creating dashboard for CISCO component CME and BE4K to get the details from Cdets and Jira • Assisting team members in analyzing the bug fixes, issues and works independently and takes the ownership of the task • Worked on Development activities and bug fixes depends on User Story requirements • Preparation of feature driven Test Plan and Test execution for the developed feature • Test the performance test for all the features which we developed in previous sprints and project • Writing the automation script for testing the feature and its performances using TNG-Pi framework and Python • Evaluate adequacy of quality assurance standards • Plan, conduct and monitor testing and inspection of materials and products to ensure finished product quality • Review the implementation and efficiency of quality and inspection systems • Involve in user story task breakups by SME and assign the task responsibilities • Good knowledge on Automation frameworks and Scripting environments to handle the complex systems and real time topologies

Education

Master's degree, Artificial Intelligence, Nanyang Technological University Singapore

Bachelor of Engineering (B.E.), Electronics and instrumentation engineering, Anna University Chennai

Public links

github: https://github.com/mdavala