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.

Contact

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 2023Present · 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 2020Sep 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 2019May 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)

Codecyclopedia

Software Developer

May 2017Aug 2017 · 3 mos · Nadiad

Education

National Institute of Technology Surat

MTech - Master of Technology — Computer Engineering

Jan 2018Jan 2020

Dharmsinh Desai University

Bachelor of Technology (B.Tech.) — Computer Engineering

Jan 2013Jan 2017

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