Shubham P.

AI Researcher

New York, New York, United States1 yr 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Achieved 99% customer satisfaction score.
Reduced downtime by 30% through optimization.
Boosted team productivity by 20% with training.

Stackforce AI infers this person is a Data Science and Cloud Infrastructure expert with a focus on SaaS solutions.

Contact

Skills

Core Skills

Google Cloud PlatformDevops

Other Skills

AlgorithmsC (Programming Language)C++Cloud ComputingCloud InfrastructureCloud StorageContainerizationContinuous Integration and Continuous Delivery (CI/CD)Data StructuresDatabasesDockerFlutterGoogle Kubernetes Engine (GKE)HTMLIdentity and Access Management (IAM)

About

I am an experienced Data Science and Cloud Infrastructure professional, currently pursuing my Master of Science in Data Science at Columbia University New York.I have gained extensive experience in Google Cloud Platform, machine learning, DevOps automation at my previous organisation Cognizant. I am looking for employment opportunities in Data Science, Machine Learning, Cloud Computing, and AI/ML Engineering and can be reached at sp4553@columbia.edu. My interests include cricket, football, reading books, listening to podcasts, and contributing to technology for social good through my involvement at various NGO.Dependable and results-driven, I can quickly adapt to new technologies and methodologies while efficiently applying previously learned skills to solve complex problems. Skills and specialties: Data Science, Machine Learning, Deep Learning, Statistics, Google Cloud Platform, GenAI, Python, TensorFlow, PyTorch, Kubernetes, DevOps, Cloud Infrastructure, Terraform, Problem Solving, Statistical Analysis, Data Mining, AI Development, Technical Leadership.

Experience

Cognizant

Programmer Analyst

Jan 2024 – Jul 2025 · 1 yr 6 mos · Coimbatore, Tamil Nadu, India · On-site

Delivered specialized technical support for Google Cloud Platform (GCP) Premium Customers, with expertise in managing high-priority production incidents, troubleshooting Kubernetes (GKE) and Compute Engine, and optimizing DevOps operations.Ensured system reliability, SLA compliance, and seamless customer experience through proactive problem-solving and innovation.
Key Achievements:
Led resolution of critical, high-priority production incidents by serving as the primary on-call contact, ensuring 100% SLA adherence and driving customer satisfaction to a 99% positive CSAT score.
Optimized cloud performance by diagnosing and eliminating complex system bottlenecks, directly reducing downtime by 30% and strengthening platform availability and resilience.
Upskilled cross-functional team members by creating and delivering targeted cloud technology training sessions (GKE, Compute Engine, DevOps pipelines), boosting team productivity and technical capability by 20%.
Spearheaded innovation in Project Nova, partnering on the development of an internal CRM platform that was successfully deployed across GCP services—streamlining internal workflows and improving service efficiency.

Google Cloud PlatformKubernetesDevOpsCloud InfrastructureTechnical Support