Anton Umnikov

Data Scientist

https://talent.gravityer.com/anton-umnikov

TigerData

Key Strengths

Extensive personal project experience with Redis, indicating strong practical knowledge in data storage and real-time systems.
Demonstrated interest in LLM-based applications and vector databases, aligning with modern data science trends.
Experience with Kubernetes and cloud platforms (GCP, Azure) for deployment and infrastructure management.
Proficiency in Python, a core language for data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards open-source contributions and exploring new technologies, which could indicate a proactive and innovative mindset. The focus on Redis and related data technologies suggests a specialized interest that could be a good fit for roles requiring deep expertise in these areas. However, the lack of diverse project types beyond data infrastructure and Redis might suggest a narrower focus, which could impact adaptability to broader data science challenges. The single current role as 'Data Scientist' at 'TigerData' aligns with the target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

TigerData-Workshops

June 17, 2025 – Present

TigerData-Workshops — repository

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mcp-server-bash

March 31, 2025 – April 1, 2025

minimalistic MCP server written in bash script

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AKS-ActiveActive-Redis

August 14, 2023 – September 8, 2023

AKS-ActiveActive-Redis — repository

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gcp-redis-llm-stack

June 29, 2023 – April 15, 2025

Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.

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azure-openai-redis-deployment

May 15, 2023 – September 18, 2023

End-to-end deployment of Azure OpenAI applications using Redis Enterprise as a vector database.

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Redis-VSS-Streamlit

June 20, 2022 – June 21, 2023

Redis Vector Similarity Search

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Redis-Enterprise-on-k8s-the-easy-way

February 17, 2022 – February 17, 2022

Setup Redis Enterprise Cluster on k8s Cluster with three nodes, using Redis Enterprise Kuberneted Operator

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redis-graphql

December 20, 2021 – June 23, 2022

GraphQL Service for Redisearch

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ha-iris-k8s

January 14, 2021 – April 13, 2021

Highly available IRIS deployment on Kubernetes without mirroring

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redis-connect-dist

August 19, 2020 – November 4, 2025

[EOL] Real-Time Event Streaming & Change Data Capture

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Key Strengths

Extensive personal project experience with Redis, indicating strong practical knowledge in data storage and real-time systems.
Demonstrated interest in LLM-based applications and vector databases, aligning with modern data science trends.
Experience with Kubernetes and cloud platforms (GCP, Azure) for deployment and infrastructure management.
Proficiency in Python, a core language for data science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Anton Umnikov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit