Parikshit Bhatia

Software Engineer

Noida, Uttar Pradesh, India12 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in developing scalable AI/ML platforms.
Strong background in cloud technologies and Kubernetes.
Proven track record in optimizing GPU resource usage.

Stackforce AI infers this person is a SaaS-focused Machine Learning Engineer with strong cloud computing expertise.

Contact

parikshit_bhatia@hotmail.com +919867891916 LinkedIn

Skills

Core Skills

Machine LearningCloud Computing

Other Skills

AI/MLAlgorithmsAntArtificial Intelligence (AI)CC++Cloud-nativeCore JavaData StructuresDesign PatternsDockerEclipseEnterprise SoftwareFeature flaggingHTML

About

Experienced Software engineer with a demonstrated history of working in the computer software industry. Skilled in Java, Spring Framework, Cloud AWS/Azure, Python, SQL, Data Structures, Designing large scale applications, Machine learning, Apache Spark, Apache Airflow, Kubernetes(K8s), AWS Lambdas, Redshift, Quicksight, Nvidia GPU etc. Strong engineering professional with a Masters focused in Computer Science from National Institute of Technology Tiruchirappalli.

Experience

Microsoft

Software Engineer

Nov 2024 – Present · 1 yr 4 mos

Adobe

2 roles

MLE-5 (Senior Computer Scientist)

Promoted

Feb 2017 – May 2025 · 8 yrs 3 mos · Noida, Uttar Pradesh, India

Leading the development of a self-service, cloud-native AI/ML platform at Adobe, supporting the full ML lifecycle from research to production. The platform integrates seamlessly with Adobe products, delivering scalable, high-performance AI/ML experiences using Kubernetes, custom Docker containers, and frameworks like Spark, PyTorch, and TensorFlow. It provides Jupyter-based workflows and cloud resource orchestration for efficient CPU, memory, and GPU utilization.
Additionally, I’ve worked on optimizing NVIDIA GPU usage(V100, A100, H100) enabling tenant-level usage metering to support quota management and usage-based billing as per CTO directives. Also contributed to phased product rollouts with feature flagging and personalization.

KubernetesDockerAI/MLCloud-nativePyTorchTensorFlow+4