Prasad Marne

Machine Learning Engineer

Bangalore Urban, Karnataka, India8 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in Machine Learning and Search Technologies
Proven track record in developing scalable microservices
Strong background in optimizing LLMs for performance

Stackforce AI infers this person is a Machine Learning Engineer with a strong focus on Search and Microservices architecture.

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Skills

Core Skills

Machine LearningDeep LearningInformation RetrievalMicroservicesSearch Engines

Other Skills

AWS EKSAlgorithmsBig DataElasticSearchElasticsearchGolangGoogle Kubernetes Engine (GKE)JavaKubeflowKubernetesLLMLinear ProgrammingPyTorchPython (Programming Language)Rust (Programming Language)

About

Pytorch, Tensorflow, Python, Information Retrieval, Vector Search, NLP, Solr

Experience

Atlassian

Senior Machine Learning Engineer

May 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Remote

Optimize Open source LLM's for latency and quality.
Development of Internal LLM serving and training platform on kubernetes.

PyTorchKubernetesLLMMachine LearningDeep Learning

Apple

Applied Machine Learning (Search)

May 2022 – Sep 2023 · 1 yr 4 mos · Bangalore Urban, Karnataka, India

Information Retrieval, Big Data, Machine Learning

Information RetrievalBig DataMachine Learning

Raksul

Tech Lead

Jan 2021 – Apr 2022 · 1 yr 3 mos · Pune, Maharashtra, India

Designed and Developed Microservices Architecture on AWS EKS and ISTIO.
Designed and Developed Algorithms for Delivery Planning and Vehicle Routing using Linear Programming and Machine Learning

MicroservicesAWS EKSLinear ProgrammingMachine Learning

City digital inc.

Software Engineer Search

Jun 2019 – Dec 2019 · 6 mos · Tokyo, Japan

Search Engineer and Data analyst

Mercari, inc.

Search & Recommendations Engineer

Sep 2018 – Dec 2020 · 2 yrs 3 mos · Tokyo, Japan

Developed E-commerce search engine from scratch using Elasticsearch and Kubernetes.
Developed search improvement and recommendations algorithm using various ML technologies.

ElasticsearchKubernetesMachine LearningSearch Engines