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Building scalable server-side solutions
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Agentic_ai_lab
June 16, 2026 – Present
A hands-on learning repository documenting my journey into Agentic AI — covering LLM fundamentals, single-agent systems with LangChain & LangGraph, multi-agent orchestration with CrewAI & AutoGen, and production-ready deployments. Each phase includes working projects built from scratch.
View ProjectEduVault
April 23, 2026 – Present
EduVault demonstrates that a fully functional, production-style application can be built using pure SQL. Built on PostgreSQL with stored procedures, triggers, and a psql CLI interface — no Python, no Express, no shortcuts.
View ProjectCampify
April 17, 2026 – Present
A Basecamp-inspired project management web app with session-based authentication and database integration.
View ProjectBeejNet
April 6, 2026 – Present
A complete implementation and learning project following Beej's Guide to Network Programming includes TCP/UDP client-server examples
View ProjectBuildCamp
March 27, 2026 – Present
A scalable Full Stack application for collaborative project management.
View Projectyash2106-byte.github.io
March 14, 2026 – Present
yash2106-byte.github.io — GitHub repository
View ProjectPromptCoach
December 24, 2025 – Present
A web app for mastering prompt engineering through hands-on practice. Write a prompt, send it to your favorite LLM (ChatGPT, Claude, etc.), and get instant evaluation: a quality score, actionable feedback, and an optional rewritten "better prompt." Learn by doing—no theory required! Coming soon: Full multi-LLM support and advanced analytics.
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong inclination towards self-directed learning and exploration of diverse technical areas, from full-stack web development to network programming and AI. This indicates a proactive and curious mindset. The 'EduVault' project, specifically, highlights a dedication to understanding foundational technologies deeply. The 'Agentic_ai_lab' project shows a clear interest in the target role of Data Scientist, suggesting good alignment with a team focused on AI/ML innovation. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and cultural integration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest a self-starter attitude and a focus on learning, but no direct evidence of collaboration or communication in a team setting is available.