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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
EqualInk
May 1, 2026 – Present
EqualInk is a collaborative document platform where every contributor's work is measured equally. No invisible effort, no credit loss. Built with Go & TypeScript , using Yjs CRDTs so edits merge perfectly — even across offline users.
View Projectcanopy
April 6, 2026 – Present
Canopy — Production-grade canary deployment platform built in Go. Ships new versions to a configurable percentage of your server fleet, monitors real-time health metrics (error rate, latency, crash count), and automatically promotes or rolls back — no human needed.
View Projectgo-pos-backend
March 11, 2026 – Present
Production-grade REST API backend for the POS Flutter application.
View ProjectDocNebula
February 25, 2026 – Present
Fault-tolerant, event-driven document processing pipeline that asynchronously unzips, OCRs, summarizes, and vectorizes massive document batches with crash-safe recovery and idempotent workers
View Projectml-models
February 24, 2026 – Present
Jupyter Notebooks implementing various machine learning algorithms
View ProjectLeetCode
February 23, 2026 – Present
A collection of LeetCode questions to ace the coding interview! - Created using [LeetHub v2](https://github.com/arunbhardwaj/LeetHub-2.0)
View Projectmulti-tenant-ai
February 23, 2026 – Present
Useful when: 1) You want to build a ChatGPT-like assistant trained on your own documents 2) Multiple teams/organizations need isolated knowledge bases (each org only sees their own data) 3) You need fast semantic search over large document collections *Key : JWT-based multi-tenancy, async document ingestion, semantic search via pgvector HNSW index
View Projectprice-fetcher
February 21, 2026 – Present
A crypto price fetcher microservice written in Go — REST JSON API with endpoints for price, market stats, coin info, and batch lookups across 40+ tickers. Features a middleware-layered architecture for logging and metrics, a typed Go client package, and a minimal Docker image.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and open-source contributions, indicating a self-driven and curious individual. However, the projects are heavily skewed towards backend development and system design in Go, with limited direct experience in core data science roles beyond basic ML model implementation. This suggests a potential mismatch with a dedicated 'Data Scientist' target role, which typically requires deeper statistical, modeling, and data manipulation expertise.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on complex technical challenges independently.