DevOps & cloud-native | Docker, Kubernetes | Exploring agentic AI, ML & DL
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sardar Vallabhbhai National Institute of Technology
Frontend Developer
June 20, 2026 – Present
ai-code-review-bot
May 23, 2026 – Present
A GitHub App that reviews pull requests with Claude. NestJS + BullMQ, multi-persona reviews, incremental re-reviews, and cost guardrails.
View Projectalgo-trading-analysis
January 29, 2026 – Present
Deployment-ready algorithmic trading platform: FastAPI + Next.js dashboard with HMM regime detection, Kalman pairs, and OU mean reversion—backtesting and risk-aware execution.
View Projectitsmanudon
January 19, 2026 – Present
Systems-focused developer exploring AI/ML, cloud-native infrastructure, and scalable backend architectures.
View Projectchatbot-app
January 9, 2026 – Present
A full-stack AI chatbot that remembers conversations using a hybrid memory system — PostgreSQL for structured storage and Pinecone for semantic vector search.
View Projectcloud-native-labs
December 1, 2025 – Present
Cloud Native Labs serves as a comprehensive learning resource for container technologies, featuring hands-on examples, practical assignments, and production patterns. Perfect for developers, DevOps engineers, and anyone looking to master containerization and orchestration technologies.
View Projectreact-native-projects
August 29, 2025 – September 9, 2025
react-native-projects — GitHub repository
View Projectwordnerd
July 10, 2025 – Present
A comprehensive GRE vocabulary learning application with a MySQL backend, AI-powered chat, file change detection, and manual word management features.
View ProjectStockViz
April 1, 2025 – Present
StockViz is a comprehensive platform designed to fetch, process, visualize, and display stock market and financial news data. It combines a Python backend for data handling with a dynamic web interface for user interaction and visualization.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in diverse technical areas including AI/ML, cloud-native, and algorithmic trading, alongside frontend development. This indicates a proactive and curious individual. However, the sole listed professional experience is current and very recent, making it difficult to assess long-term cultural fit or team collaboration experience. The target role is 'Frontend Developer', and while there are relevant projects, the breadth of interests might suggest a broader technical focus than a pure frontend specialist.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.