Kishan Mochi

Software Engineer

Bengaluru, Karnataka, India6 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in cloud services and edge computing.
Proven track record in AI and machine learning projects.
Strong background in systems design and software development.

Stackforce AI infers this person is a Cloud Computing and AI specialist with strong software development skills.

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Skills

Core Skills

Cloud ServicesEdge ComputingSystems DesignOperating SystemsArtificial Intelligence (ai)

Other Skills

KubernetesDockerPythonGoAWSRESTGstreamerMedia/AI pipelineAndroidOpen-source contributionAPIsNeural Network ProcessorDeep Learning frameworksLinux KernelDevice Drivers

About

Fascinated by software design, development and machine learning.

Experience

6 yrs

Total Experience

3 yrs

Average Tenure

5 yrs 9 mos

Current Experience

Intel corporation

3 roles

SDE II

Promoted

Oct 2023 – Present · 2 yrs 7 mos

Currently working on the Intel Tiber Edge Platform. To help customers focus on business logic instead of onboarding, provisioning and telemetry data processing.
Working on an interesting problem statement:
Developed and deployed edge node curation service to AWS ECS Fargate. Helping clients to easily compose a desired software stack on the edge node and get certified.
Design and develop scalable cloud service for power and performance optimization of WL at the edge.
WL optimization and capacity forecasting using obeservability framework.
Telemetry insights service to help customer to get maximum out of cloud/on-prem deployment.
Tech Stack: Kubernetes, Docker, Python, Go, AWS, REST

KubernetesDockerPythonGoAWSREST+2

SDE

Jul 2020 – Sep 2023 · 3 yrs 2 mos

Implemented Media/AI pipeline for various IOT use cases using Gstreamer framework & Edge WL development.
Enabling host kernel and VM for multiple OS including yocto, windows and android.
Contributing to open-source Android distribution – Celadon which is fully optimized for Intel platforms.
Development and debug of software stack for enabling CIV (Celadon in VM) on next generation intel processors.

GstreamerMedia/AI pipelineAndroidOpen-source contributionSystems DesignOperating Systems

Graduate Technical Intern

Jun 2019 – May 2020 · 11 mos · Bangalore · On-site

Intern in Artificial Intelligence Products Group/ habana labs.
Developed APIs to implement features of NNPI (Neural Network Processor for Inference).
Framework development for validation test suite execution.
APIs, Operators, and workload validation for different Deep Learning frameworks.

APIsNeural Network ProcessorDeep Learning frameworksArtificial Intelligence (AI)