Vinu Pillai

CEO

Chennai, Tamil Nadu, India25 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Designed ML pipelines with 99.9% uptime.
Led initiatives improving AI response accuracy by 85%.
Architected multi-cloud infrastructure for 50+ microservices.

Stackforce AI infers this person is a Fintech and Cloud Computing expert with strong AI/ML and DevOps capabilities.

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Skills

Core Skills

Ai/ml EngineeringCloud PlatformsDevops

Other Skills

AWSAWS EKSAnsibleArtificial Intelligence (AI)Azure AKSCI/CDCloud DevelopmentCloud StorageDeep LearningDockerGenerative AIInformation Security ManagementJIRAK-Nearest Neighbors (KNN)Keras

About

Core Competency: • AI/ML Engineering: TensorFlow, PyTorch, Scikit-learn, MLOps, Model Deployment, Feature Engineering • Prompt Engineering: OpenAI API, Anthropic Claude, LangChain, RAG Systems, LLM Optimization, Vector Databases • Programming: Python, Bash/Shell Scripting, REST APIs (Fundamentals only) • Cloud Platforms: AWS (EC2, S3, Lambda, SageMaker, EKS), Azure (AML, AKS, Functions), GCP (GKE, AI Platform) • DevOps & CI/CD: Jenkins, GitLab CI, GitHub Actions, Terraform, Ansible, Infrastructure as Code (IaC) • Container Technologies: Kubernetes, Docker, Helm, Istio Service Mesh, Container Security • Data Engineering: Apache Spark, Kafka, Airflow, Pandas, NumPy, ETL Pipelines, Real-time Processing • Monitoring & Observability: OpenTelemetry, Prometheus, Grafana, ELK Stack, Datadog, Application Performance Monitoring Technical Contributions: - Python Development: Built scalable ML applications using FastAPI, Django, and Flask frameworks, implementing microservices architecture with Docker containerization - Machine Learning: Developed predictive models using ensemble methods, deep learning (TensorFlow/PyTorch), and reinforcement learning for business optimization - DevOps Integration: Established GitOps workflows with Jenkins, GitLab CI, and GitHub Actions, implementing automated testing, security scanning, and deployment strategies - Observability: Implemented comprehensive monitoring using Prometheus, Grafana, and Jaeger tracing, ensuring proactive issue detection and performance optimization

Experience

Tata consultancy services

Enterprise Solutions Architect

Mar 2019 – Present · 7 yrs · Chennai Area, India

Key Achievements and Deliverables::
Designed and deployed enterprise-scale ML pipelines serving 200M+ predictions daily with 99.9% uptime, leveraging Kubernetes orchestration for auto-scaling and fault tolerance
Led Prompt Engineering initiatives for GenAI-powered solutions, achieving 85% improvement in response accuracy and 40% reduction in processing time through advanced prompt optimization techniques
Architected cloud-native infrastructure using AWS EKS and Azure AKS, managing 50+ microservices with automated CI/CD pipelines and Infrastructure as Code (Terraform)
Implemented MLOps best practices including model versioning, A/B testing, and automated retraining, reducing model deployment time from weeks to hours
Mentored cross-functional teams of 8+ engineers on ML best practices, DevOps automation, and cloud-native development patterns
Multi-Cloud Kubernetes Architecture: Designed highly available Kubernetes clusters across AWS EKS and on-premises environments, implementing disaster recovery, data replication, and automated failover mechanisms
Container Security & Compliance: Established comprehensive security policies including RBAC, network policies, Pod Security Standards, and secrets management to meet RBI compliance requirements
Microservices Orchestration: Migrated monolithic banking applications to cloud-native microservices architecture, improving deployment frequency from monthly to daily releases
Auto-scaling & Performance: Implemented Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) with custom metrics, handling 10x traffic spikes during peak banking hours
Observability & Monitoring: Deployed end-to-end observability stack with Prometheus, Grafana, and ELK, providing real-time insights into transaction processing, API performance, and system health

KubernetesAWS EKSAzure AKSTerraformMLOpsPrompt Engineering+3

Paypal

Member Of Technical Staff

Nov 2011 – Jan 2019 · 7 yrs 2 mos · Chennai Area, India

While working with PayPal, I acquired following skills which enhanced my responsibility towards fast pace growing business environment and add profitable values towards it, below are the skills outlined (although not a restricted list) :
Develop, build, deploy and release automated solutions in OpenStack Cloud Platform (Private Cloud Environment).
Proficiency in writing and evaluating software test cases, particularly - Unit test, SIT, Security test and UAT.
Good understanding of microservices, docker containers and orchestration techniques (Kubernetes is new to me though!)
Experience in configuring distributed platform for configuration management and Infrastructure-as-Code on tools like Chef, Puppet & Ansible.
Collaborating and co-ordinating with global team in different timezones for solutioning and technology consulting.
Strong knowledge with Advance level experience in Linux and Ubuntu.
Enhancing and Managing complex multi-tier application based environment.
Although very minimal knowledge on Unix shell scripting but has good hands on in Python.
Consuming requirements and converting them to project timelines and producing them into useful operational documents and SOP on platforms like sharepoint, confluence or Jira.
Experience with onboarding software services and mid-tier applications on Public Cloud provider platforms like - GCP, Azure, AWS, Digital Ocean.
Solid knowledge and experience with Terraform, Jenkins, Hasicorp Vault, Chef and Ansible
Also participated in consulting, designing and implementation of common infrastructure services such as LDAP, DNS, Puppet , Kubernetes, Docker, CI/CD technologies, git etc.. especially on distributed platform at on-premises and cloud based infrastructure.
Some Extra and useful skills which are truly value add for business:
Good communication skills, both verbal and written across all user levels.
Good team player, self-starter, goal oriented, open minded, flexible and customer focused.