Vikas Singh — Cloud, DevOps & AI Engineer

Summary

Cloud and DevOps engineer with strong experience across AWS, GCP, Kubernetes, CI/CD, infrastructure automation, observability, and MLOps platforms. I build scalable backend and cloud systems, automate deployments, reduce infrastructure complexity, and design AI/agentic platforms for hiring, data, and workflow automation.

Skills

• Cloud Platforms: AWS, GCP, Azure, Cloud SQL, GKE, EKS, AKS, EC2, S3, IAM, VPC, Load Balancers
• DevOps & Infrastructure: Kubernetes, Docker, Helm, Terraform, Jenkins, GitHub Actions, GitLab CI, ArgoCD
• Backend & APIs: Python, Node.js, Express.js, NestJS, Flask, REST APIs, WebSockets
• Databases & Data: PostgreSQL, MySQL, MongoDB, Redis, Firestore, BigQuery, Redshift
• Observability: Prometheus, Grafana, Loki, CloudWatch, Datadog, GCP Monitoring, OpenCost
• AI / MLOps: LLM agents, RAG, vector databases, resume parsing, voice agents, Deepgram, ElevenLabs, OpenAI APIs
• Domains: Cloud architecture, platform engineering, DevOps automation, hiring automation, workflow engines, data platforms

Experience

Scrini AI — Co-founder / Cloud & AI Platform Engineer (2025–Present)

• Designed an AI-powered hiring automation platform with job agents, candidate agents, application workflows, and recruiter automation.
• Built architecture for agentic hiring workflows covering sourcing, resume screening, interview automation, email outreach, and candidate communication.
• Worked on real-time voice agent systems using telephony, STT, TTS, LLM pipelines, transcripts, recordings, and candidate follow-up workflows.
• Designed scalable backend architecture targeting high-volume workflow execution, multi-tenant hiring operations, and AI-driven candidate matching.
• Built systems for resume parsing, duplicate candidate detection, job-to-resume matching, and recruiter workflow automation.

RapidCanvas / Cloud Platform Projects — DevOps & Cloud Engineer (2024–2026)

• Managed Kubernetes-based application deployments across AWS EKS and GCP GKE environments for QA, staging, sandbox, and pre-production workloads.
• Built and maintained CI/CD workflows for multiple microservices including web apps, auth services, data apps, launchers, documentation, and platform components.
• Worked on cloud load balancing, ingress migration, TLS certificates, internal routing, Cloud Armor, nginx ingress, and service exposure across Kubernetes clusters.
• Improved platform reliability through monitoring, alerting, logging, cost visibility, and Kubernetes resource optimization.
• Supported production-style cloud operations including node scaling, pod troubleshooting, Redis incidents, DNS forwarding, database migrations, and application upgrade workflows.

Datarib / Data Platform Projects — Cloud & Data Engineering Engineer (2022–2023)

• Built an ETL platform with connectors, managed data pipelines, cloud databases, Kubernetes orchestration, and dashboarding capabilities.
• Implemented infrastructure automation using Terraform, CI/CD pipelines, and cloud-native deployment practices.
• Worked on data visualization, workflow orchestration, Spark-based processing, and cloud database integration.
• Designed systems to improve deployment repeatability, monitoring, and operational visibility across cloud environments.

Infrastructure Automation & Monitoring Projects — DevOps Engineer (2022–2024)

• Developed infrastructure automation for cloud environments using Terraform, Jenkins, GitHub Actions, Docker, and Kubernetes.
• Built monitoring stacks using Prometheus, Grafana, Loki, CloudWatch, and GCP Monitoring for VM and Kubernetes workloads.
• Implemented cost tracking and budget alerting using OpenCost, Prometheus, and custom Python-based reporting.
• Created Helm-based deployment systems for applications, jobs, cron jobs, secrets, and Kubernetes services across multiple environments.

Education

• Education details not provided.

Highlights

• Co-founder of Scrini AI, an AI agent platform focused on automating hiring workflows.
• Built cloud and Kubernetes platforms across AWS, GCP, and Azure using Terraform, Helm, CI/CD, and observability tooling.
• Worked on AI hiring systems including resume parsing, candidate matching, interview automation, email automation, and voice agents.
• Developed custom workflow, ETL, observability, cost-tracking, and infrastructure automation platforms.
• Experienced in designing scalable systems for multi-tenant SaaS, DevOps platforms, MLOps workflows, and agentic AI products.