Gaurav Singh Tomar
Senior Technical Architect (Ai, Data & Cloud) Lead Consultant @Publicis Sapient
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WORK HISTORY
Senior Technical Architect (Ai, Data & Cloud) Lead Consultant @Publicis Sapient
London, GB
Generative AI (GenAI) & MLOps• Setting up GenAI and MLOps pipelines to automate data ingestion, pre-processing, and validation—enabling scalable ML model deployment with Vertex AI and Azure OpenAI.• Developing and integrating Python notebooks with Dataproc and Data bricks on GCP/Azure, while evangelising AI best practices to drive innovation and business value.• Leading cross-functional initiatives by managing DevOps, UI, and Backend teams of 25+ engineers to deliver end-to-end AI/ML solutions with agility and precision.Cloud & On-Premise Architecture• Designing and building complex, reliable, and scalable multi-platformapplications across cloud environments (AWS, GCP, Azure) and on-premise infrastructures.• Serving as an Architect, DevOps/DevSecOps, SRE, and Java/Python Developer to ensure high availability, robust security, and optimal performance.• Providing leadership across distributed teams (5 teams) to streamline cloud-native development and operations, aligning with business and compliance goals.Python 3.7, Linux, AWS (Lambda, S3), Kafka, Airflow, SQL, pandas, numpy, JSON, BDD/TDD,Azure, GCS, CI/CD pipelines, OpenAI, AKS, GKE, Data bricks, ELK, Salesforce, Box APIs, Milvus & PG Extension, Istio, Consul, Terraform, Jupyter Notebooks, ArgoCD, Mlflow, Alibi, Snowflake, Kubeflow, Ray, Looker, Vertex AI, Kafka, Docker, ArgoCD, GitLab, Azure DevOps, Splunk,Nomad,
EDUCATION
Motivational Pathway
MCA, Computer Science
Chaudhary Charan Singh University
Bachelor of Science (B.Sc.), Maths, Statistics, Physics
SKILLS
ABOUT GAURAV SINGH TOMAR
I am a highly skilled and very hands on delivery results focused Senior Architect & Site Reliability Engineer with 22+ years of extensive experience in ensuring the integrity, performance, reliability, security and auditing, and cost-effectiveness of cloud-based infrastructure and cloud native solutions. I am committed to delivering high-quality service and have a strong understanding of industry best practices. Proven expertise in cloud platforms, automation, and infrastructure as code. Key Experience & Professional Skills Designed & developed complex, reliable & scalable, multi-platform, performant applications on Cloud & On-premiseOptimised cloud infrastructure, reducing costs by 25% and increasing reliability by 30%Automated data ingestion, pre-processing, and validation pipelines for ML models (Vertex AI & Azure OpenAI)Python notebooks development & integration with Datproc & Databricks on GCP / AzureSpearheaded migration of multiple legacy systems to cloud environments, reducing infrastructure costs by 40%.Successfully reduced system downtime by 80% over 20 years through strategic reliability initiatives.Implemented the DevOps / DevSecOps WoW in many projects Designed and developed fully automated monitoring and alerting systems Familiarity with logging, monitoring, and alerting with tools like Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), Splunk, Datadog, New Relic, Geneos, Cloud Logging, NetApp Cloud Insights etc.Designed and developed fully automated CI/CD pipelines for On-premise, Cloud & Hybrid deployments with tools like Jenkins, CircleCI, GitLab, Travis, ArgoCD, Spinnaker and Team City etcImplemented GitOps style via GitHub, Gitlabs etc s a single source of truth for both application code and infrastructureExperience in optimising server performance, tweaking configurations, and improving system and network latencyImplemented security best practices, dealing with vulnerabilities, and ensuring infrastructure complies with industry standards and regulations.Experience with both relational and NoSQL databases, understanding their architectures, backups, replication, and performance tuningExperience in automating infrastructure provisioning and application deployments, with tools like Nomad, Terraform, Ansible, Puppet, and Chef.Designed and developed various big data based Data Lakes for various financial clientsHands on experience with IAAS / IAAC / PAAS / SAAS / CAAS with security standards SAST / DAST / IAST / SCA / RASP etc
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