V

Vikas Mishra

CTO

Bengaluru, Karnataka, India17 yrs 8 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 15+ years in AI and Cloud Architecture.
  • Achieved 40% reduction in inference latency.
  • Led infrastructure modernization for 100M+ QPS.
Stackforce AI infers this person is a Cloud and AI Architect with expertise in high-scale e-commerce and gaming industries.

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Skills

Core Skills

Artificial Intelligence (ai)Cloud ArchitectureMachine LearningSite Reliability EngineeringData EngineeringSoftware Development

Other Skills

Large Language Models (LLM)Google Kubernetes Engine (GKE)Google Cloud Platform (GCP)Scalable ArchitectureAI/ML InfrastructureTPU/GPU OptimizationPlatform ArchitectureLeading Development TeamsMicrosoft AzureSRETechnical Project LeadershipKubernetesDNSCloud InfrastructureCloud and Scale Expertise

About

AI and Cloud Architect with over 15+ years of experience designing and engineering cloud solutions, pioneering cloud native AI innovations, and building planet-scale applications. At the forefront of AI/ML advancements, I specialize in AI engineering - building applications powered by autoregressive Large Language Models (LLMs), Multi Agent Workflows, Neural RL Models, RAGs, Knowledge Graphs ,Vector DBs, MLOps, ModelOps and AI/ML pipelines leveraging GPUs and TPUs. Currently, as an AI Platform Architect at Google Cloud, I collaborate with some of APAC's largest consumer, internet and digital-native companies to implement AI-driven solutions that scale seamlessly and deliver measurable business impact. My work has led to significant achievements, such as a 40% reduction in inference latency, 30% faster model training (post-training using SGD) and tuning (Instruction, PEFT, LoRA, Adapter) and a 20-35% cost optimization in cloud expenditures. In my previous role, I played a pivotal role in modernizing large-scale infrastructure at Myntra, architecting thier next generation platform servcies to handle 100M+ QPS, and delivering 99.99% uptime during India’s largest e-commerce sales. My experience extends to designing high-throughput data pipelines at Ezetap (Razorpay) and creating enterprise-grade e-commerce solutions for global retail giants at IBM ISL. Beyond technical delivery, I’m passionate about gadgets, driving AI advocacy, mentoring the next generation of engineers, and sharing insights through keynote speeches at 30+ high-profile conferences. My expertise spans scalable cloud systems, AI/ML deployment, data privacy, and multi-modal AI models. As I continue exploring the intersection of AI and cloud, I aim to collaborate with forward-thinking individuals and teams to redefine how technology transforms industries and impacts lives globally. Skills: Writing Code, Debugging, AI/ML, Cloud Architecture, Large Language Models (LLMs), GKE, SRE, DevOps, RAG Systems, TPU/GPU Optimization, Kubernetes, Scalable Systems, Distributed Databases, AI Infra. Fun Fact About Me I'm an orophile (a lover of mountains), an avid reader, a tech enthusiast who’s always first to explore obscure gadgets, and a budding horologist with a watch collection that tells more than just time. Mantra in Life Greatness lies not in what we build but in the questions we dare to ask. The paradox of mastery is that the closer we get to certainty, the more we uncover the infinite unknowns. Life’s true summit isn’t in reaching the peak but in realizing that every step rewrites the map.

Experience

17 yrs 8 mos
Total Experience
3 yrs 6 mos
Average Tenure
5 yrs 9 mos
Current Experience

Google

Infrastructure Modernization & AI - Platform Architect

Sep 2020Present · 5 yrs 9 mos · Bengaluru, Karnataka, India · On-site

  • As an AI and Cloud Architect at Google Cloud, I design and implement advanced solutions for APAC's largest gaming and internet companies, enabling them to scale seamlessly while addressing complex technological challenges. My work bridges cutting-edge AI/ML technologies, cloud-native architectures, and high-performance systems to drive measurable outcomes at an unprecedented scale.
  • Core Expertise
  • Scalable Cloud Architectures: Designing robust, reliable solutions optimized for millions of concurrent users.
  • AI/ML Pipelines: Training, fine-tuning, and deploying Large Language Models (LLMs) and transformer-based architectures.
  • Kubernetes Mastery: Architecting some of APAC’s largest GKE deployments, ensuring 99.99% uptime.
  • Distributed Systems: Developing globally optimized databases and event-driven architectures for ultra-low latency.
  • Key Achievements
  • LLM Innovation in Gaming: Led the integration of LLMs in India, enhancing real-time gaming experiences and increasing user engagement by 25%.
  • Optimized AI/ML Infrastructure: Reduced model training time by 30% and operational costs by 20% through TPU/GPU optimization.
  • Advanced Analytics Pipelines: Engineered AI systems to elevate game analytics and personalization, driving higher retention rates across tens of millions of users.
  • Complex GKE Deployments: Designed and deployed infrastructure supporting 50M+ users during peak loads, with significant cost and performance gains.
  • Data-Driven Scalability: Delivered globally distributed solutions capable of supporting high-traffic environments with seamless reliability.
  • Impact
  • I combine technical rigor with a hands-on approach to solve industry-scale challenges. Passionate about leveraging AI and cloud technologies to redefine user experiences, I focus on delivering transformative solutions that align innovation with real-world application.
Artificial Intelligence (AI)Large Language Models (LLM)Google Kubernetes Engine (GKE)Google Cloud Platform (GCP)Scalable ArchitectureMachine Learning+1

Myntra

2 roles

Site Reliability Engineering Manager

Promoted

Feb 2020Sep 2020 · 7 mos · On-site

  • At Myntra, India's market leader in fashion e-commerce, I led the SRE and Cloud Operations practice, driving the modernization of infrastructure to support millions of daily users. My work focused on designing scalable systems, automating operations, and delivering high-performance solutions during peak traffic events.
  • Key Contributions
  • Cloud and Kubernetes Migration: Spearheaded Myntra’s transition to Azure and Kubernetes, achieving 99.95% uptime and ensuring seamless scalability during India’s largest e-commerce sales.
  • High-Performance DNS: Designed a DNS-as-a-Service platform benchmarked at 100M QPS, delivering ultra-low latency and high availability.
  • Infrastructure Modernization: Built scalable AppOps tooling, enabling robust support for all Myntra products and services, ensuring future-proof infrastructure.
  • Proactive Monitoring and Automation: Developed metrics and monitoring platforms, autoscaling systems, and centralized logging, reducing MTTR by 30%.
  • Secure Systems: Managed load balancers, secret management-as-a-service, and access control systems, ensuring operational efficiency and system security.
  • Impact
  • Optimized capacity planning to handle traffic surges, supporting millions of transactions during peak events and enabling Myntra’s rapid growth in the e-commerce sector.
  • Streamlined production workflows, reducing operational overhead by 25% and enhancing overall system reliability.
  • Delivered scalable infrastructure solutions, ensuring 24/7 operational excellence and alignment with business growth objectives.
  • Leadership in Technology
  • At Myntra, I demonstrated thought leadership by introducing innovative operational practices and collaborating with cross-functional teams to build scalable, high-performance systems. By applying a data-driven approach and leveraging cutting-edge tools, I ensured Myntra’s infra could meet its growing demands. I mentored engineers across teams, fostering a culture of innovation and technical excellence.
Platform ArchitectureLeading Development TeamsMicrosoft AzureSRETechnical Project LeadershipSite Reliability Engineering+1

Lead - SRE & Platform Engineering

Feb 2019Feb 2020 · 1 yr · On-site

  • As a Technical Lead at Myntra, I played a pivotal role in architecting and scaling sophisticated production environments to support one of India’s largest e-commerce platforms during high-traffic events. My work focused on building robust, distributed systems and enabling seamless scalability for Myntra’s infrastructure and storefront.
  • Key Contributions
  • Cloud and Scale Expertise: Led Myntra’s migration to Azure, scaling infrastructure to handle unprecedented traffic peaks during India’s biggest online sales with 99.95% uptime.
  • Next-Gen DNS Platform: Designed and implemented Myntra’s DNS-as-a-Service, achieving a benchmark of 100M QPS, ensuring ultra-low latency and high reliability.
  • Fully-Managed Multi-Cloud PaaS: Created scalable, distributed platform offerings, including Kubernetes-as-a-Service, Monitoring and Metrics platforms, Logging-as-a-Service, and Service Mesh solutions, enabling engineering teams to accelerate delivery.
  • Operational Excellence: Built self-serve DevOps tools and automated processes, ensuring smooth operations during peak events and reducing mean-time-to-recovery (MTTR) by 30%.
  • System Resilience and Security: Developed secret management and configuration management systems, improving operational efficiency and securing sensitive workloads.
  • Technical Stack
  • Cloud Platforms: Azure, AWS
  • Tools and Technologies: Kubernetes, Docker, Terraform, Envoy (Service Discovery), DNS, CDN
  • Infrastructure: Cloud-Native Architectures, Monitoring & Metrics, Configuration Management, Self-Serve DevOps
  • Impact
  • Engineered scalable infrastructure capable of supporting millions of daily transactions with ultra-reliable performance, directly contributing to Myntra’s leadership in India’s fashion e-commerce sector.
  • Delivered robust platform services that empowered engineering teams to build, deploy, and monitor applications efficiently, driving rapid innovation across the organization.
Cloud and Scale ExpertiseNext-Gen DNS PlatformOperational ExcellenceCloud ArchitectureSite Reliability Engineering

Ezetap by razorpay

2 roles

Head of Data Engineering and Analytics

Promoted

Aug 2018Feb 2019 · 6 mos · Bengaluru, Karnataka, India · On-site

  • At Ezetap, I led the Data and Performance Engineering team, building scalable data infrastructure to support mission-critical operations in payments and analytics. My work enabled real-time insights, high-throughput systems, and self-serve platforms, empowering engineering teams, customers, and partners with seamless data access.
  • Key Contributions
  • Data Infrastructure at Scale: Designed and implemented a distributed Data-as-a-Service (DaaS) platform to power real-time analytics, reporting, reconciliation, and settlements.
  • Real-Time Pipelines: Built robust pipelines ingesting diverse transaction data into data lakes leveraging Kafka, ElasticSearch, CrateDB, and AWS Redshift.
  • High-Throughput API Layer: Developed scalable APIs over a heterogeneous big-data stack, democratizing access for internal teams and external partners.
  • Self-Serve Analytics: Delivered a big-data reporting platform enabling millions of customers to derive actionable insights.
  • Search Optimization: Managed search servers for relevance tuning, autosuggestions, and scalable indexing infrastructure.
  • DevOps Excellence: Automated deployments with Jenkins, Terraform, Docker, and Kubernetes, ensuring system reliability and operational efficiency.
  • Core Expertise
  • Scalable Architectures: Proficient in designing high-throughput systems with technologies like Cassandra, Spark, Elasticsearch, Hive, and Presto.
  • Cloud Infrastructure: Optimized AWS-based systems for reliability, scalability, and performance.
  • Agile Problem Solving: Delivered practical, efficient solutions using Design Thinking and engineering best practices.
  • Impact
  • Enhanced real-time analytics and reporting capabilities, processing millions of daily transactions seamlessly.
  • Improved operational scalability by 25%, enabling Ezetap to support diverse use cases across payments and customer insights.
  • Built infrastructure reliability to ensure smooth operations in high-volume, time-critical environments.
Data Infrastructure at ScaleReal-Time PipelinesHigh-Throughput API LayerData EngineeringCloud Architecture

Senior Software Engineer

Nov 2016Aug 2018 · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

  • As an early employee at Ezetap, I contributed to building the foundation of its universal payment acceptance platform, delivering innovative solutions for seamless transaction processing at scale.
  • Key Contributions
  • Universal Payment Platform: Developed a payment acceptance system with Remote Pay and Universal Wallet capabilities, ensuring compatibility with diverse payment processors and transaction systems.
  • Transaction Systems Expertise: Gained deep experience in integrating payment processors, hosted payment pages, and transaction switches to streamline payment workflows.
  • Ezetap Data Pipeline: Designed and implemented a highly available, real-time data pipeline using Apache Kafka, Maxwell, CrateDB, and Redis. This distributed system aggregated, processed, and replicated data at scale while guaranteeing data integrity and consistency.
  • Impact
  • Delivered a resilient data infrastructure supporting cloud-scale transaction processing with near-zero downtime.
  • Contributed to Ezetap’s growth as a leader in payment technology, laying the groundwork for scalable systems that handled millions of transactions daily.
Universal Payment PlatformTransaction Systems ExpertiseSoftware Development

Ibm

4 roles

Staff Software Engineer

Promoted

Aug 2013Nov 2016 · 3 yrs 3 mos

  • At IBM India Software Labs, a flagship product development division of IBM, I was part of the Sterling Commerce group, contributing to the development and scaling of enterprise-grade e-commerce solutions for global retail leaders. As one of the first developers of IBM Commerce on Cloud (CoC) since 2012, I played a key role in designing and implementing Sterling Order Management (OM) as a SaaS platform.
  • Key Contributions
  • Commerce on Cloud Implementation: Led the end-to-end design and deployment of Sterling OM as a cloud-native solution, enabling seamless scalability and multi-tenant operations for enterprise clients.
  • Enterprise-Grade E-Commerce Backend: Developed a robust, high-throughput backend system using Java, J2EE, and IBM middleware technologies such as WebSphere Application Server, IBM DB2, and MQ, integrated with self-serve CI/CD workflows leveraging UrbanCode Deploy and Chef.
  • Global Retail Enablement: Designed and delivered a highly-flexible, multi-dimensional e-commerce platform used by global giants like Walmart, Costco, Target, Best Buy, Staples, Kohl’s, TESCO, and Lowe’s, supporting billions in annual transactions.
  • Performance Optimization: Built six progressively enhanced versions of the Order Management System (OMS), achieving significant improvements in throughput, latency, scalability, and reliability.
  • Impact
  • Enabled seamless e-commerce operations for some of the world’s largest retailers, ensuring scalability and performance during peak transactional loads.
  • Delivered a cloud-native architecture that set new benchmarks in flexibility and reliability, empowering clients to innovate faster and operate more efficiently.
Commerce on Cloud ImplementationEnterprise-Grade E-Commerce BackendCloud ArchitectureSoftware Development

Senior Software Engineer

Promoted

Aug 2012Jul 2014 · 1 yr 11 mos

Software Engineer

Aug 2011Jul 2012 · 11 mos

Software Engineer Intern

Dec 2010Jul 2011 · 7 mos

Open source

Open Source Software Contributor

Dec 2007Nov 2010 · 2 yrs 11 mos · Trichy Area, India · On-site

  • As a passionate advocate for open source, I played a key role in fostering a vibrant FOSS community at SASTRA and LUG Chennai. I introduced students to the philosophy and technical power of open source, guiding them to become impactful contributors to global projects. I dedicated over 8000 hours to voluntary training, demystifying complex technologies, and building a pipeline of skilled open source developers.
  • Major Contributions
  • Linux From Scratch (LFS): Contributed to system-level builds, enabling developers to create custom Linux distributions while understanding OS internals.
  • Cross-Platform Porting: Ported key applications and libraries from Linux to OpenSolaris
  • NetBeans Plugin Development: Built and maintained plugins for NetBeans IDE, enhancing debugging and build capabilities for Java and C++ developers.
  • Ubuntu NIC Drivers: Developed and optimized Netgear NIC drivers for Ubuntu, ensuring compatibility and improved network performance.
  • Mozilla Community Software: Participated in feature development and bug fixes for Mozilla projects, enhancing usability and quality of Firefox and other tools.
  • Embedded Linux Contributions: Developed and debugged device drivers for embedded systems, focusing on UART and SPI peripherals for custom hardware.
  • Apache HTTP Server Extensions: Enhanced modules for Apache HTTP Server, enabling more efficient load balancing and request routing.
  • Open Source Training Tools: Created training utilities for Linux kernel debugging, memory management, and filesystem operations, used in hands-on workshops.
  • Impact on the Community
  • Inspired over 8000 students to contribute to global FOSS projects, many of whom became active contributors in open source communities.
  • Delivered practical training in kernel development, distributed computing, and device driver programming, fostering hands-on technical expertise.
  • Established a culture of collaboration and innovation, positioning SASTRA as a hub for open source activity.

Education

Shanmugha Arts, Science, Technology and Research Academy

B.Tech — Computer Science & Engineering

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