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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
opensearch-project
Frontend Developer
June 26, 2026 – Present
aws
Frontend Developer
June 26, 2026 – Present
apache
Frontend Developer
June 26, 2026 – Present
FerrisSearch
March 16, 2026 – Present
A distributed search and SQL analytics engine in Rust with Raft consensus, hybrid BM25+vector search, and a search-aware query planner — powered by Tantivy, DataFusion, and USearch
View Project-postings_expand_benchmark
September 17, 2025 – October 29, 2025
-postings_expand_benchmark — Dev.to repository
View Projectpostings-decoding-util
August 22, 2025 – August 22, 2025
postings-decoding-util — Dev.to repository
View ProjectrBadgerDB
October 22, 2022 – October 23, 2022
To provide production grade SSD optimised Key Value Store
View Projectindex-management-dashboards-plugin
April 5, 2021 – Present
🗃 Manage policies and jobs and automate periodic data operations in OpenSearch Dashboards
View ProjectScreenCapturingServerSide_POC
April 15, 2019 – April 16, 2019
ScreenCapturingServerSide_POC — Dev.to repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards backend, systems-level programming (Rust, Go, Java, Python projects like FerrisSearch, rBadgerDB, NESEmulator). While there are frontend technologies listed in some projects and the target role is 'Frontend Developer', the majority of personal projects lean heavily into non-frontend domains. This might indicate a potential mismatch with a pure frontend-focused cultural environment, or a desire to transition into frontend from a broader technical background. The experience section lists 'Frontend Developer' roles, which aligns with the target role, but without details on responsibilities, it's hard to fully assess the depth of frontend cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The provided data focuses on technical projects and roles without details on collaboration, problem-solving approaches, or communication styles.