Vijay Krishna Neeli
@vijaykrishnaneeli
I build scalable backend systems, log analytics platforms, and ML monitoring solutions.
What I'm looking for
At Garmin Technologies, I build scalable log analytics and monitoring systems using Java, Spring Boot, Elasticsearch, OpenSearch, Python, and ML. I extended log retention from 10 to 90+ days, supported 10+ teams and 80+ applications, and reduced storage costs by approximately 75%.
I also developed an ML-powered error clustering and alerting platform with sentence embeddings, OpenSearch pipelines, and Vue.js. The platform reduced clustering time by approximately 80%, duplicate investigations by approximately 50%, and root-cause analysis time by approximately 65%.
Through projects including Axiom and an AI Support Assistant for Slack, I've built multi-tenant SaaS workflows, JWT-secured REST APIs, RAG pipelines, semantic search, and context-aware threaded replies.
Experience
Work history, roles, and key accomplishments
Software Engineer Intern
Garmin Technologies
Dec 2025 - Present (8 months)
Built a Spring Boot pipeline to migrate logs from Elasticsearch to OpenSearch, extending retention from 10 to 90+ days. Developed an ML-powered error log clustering system using sentence embeddings and OpenSearch pipelines, reducing clustering time by ~80%.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology-AP
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: 9.30/10.0
Pursuing a B.Tech in Computer Science and Engineering with a GPA of 9.30/10.0. Coursework includes Data Structures, OOPS (Java), Database Management Systems, Operating Systems, and Machine Learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/axiomJob categories
Skills
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