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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
genai-project-template
June 10, 2026 – Present
Clean and modular GenAI project structure for building production AI applications.
View Projectnaukri-autopilot
May 17, 2026 – Present
AI-powered Naukri profile automation, upload your resume, enter your credentials, and let it auto-update your headline, summary, skills and projects daily.
View Projectlanggraph-multiskill-agent
April 25, 2026 – Present
A flexible, multi-persona conversational AI backend built with LangGraph and FastAPI. It dynamically switches context between specialized skills (like coding, research, or writing) while maintaining seamless, persistent conversation history.
View Projectgithub-chat
January 26, 2026 – Present
RAG-powered assistant to chat with any GitHub repository. Provide a repo URL, ask questions about the codebase, and get context-aware answers with conversation memory. Built with FAISS, Gemini, and Groq.
View Projectai-health-coach
December 25, 2025 – Present
A AI Health Coach. Simple, intuitive chat interface with long-term memory and personalized medical protocols powered by Google Gemini
View Projectdev-tools-setup
December 21, 2025 – December 21, 2025
Custom configuration for Docker paths and XAMPP automation on Windows
View Projectml-learning
October 20, 2025 – Present
My personal notebook for learning, experimenting, and building with Machine Learning
View Projectbackend-syllabus-100xdev
October 18, 2025 – October 18, 2025
Curated notes and resources for backend and system design.
View Projectaskyourdb
September 30, 2025 – December 21, 2025
Natural language interface for relational databases. Ask questions in plain English, get schema-aware SQL generated, safely executed, and summarized — supports MySQL, PostgreSQL, MSSQL, and Oracle.
View Projecttext2video
March 7, 2025 – December 21, 2025
Utilizing the diffusers library to generate AI-powered videos from text prompts using the Damo-Vilab Text-to-Video model.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for AI/ML through numerous personal projects, indicating a self-starter mentality and a drive for continuous learning. The diversity of projects, from text-to-video generation to AI health coaches and database interfaces, suggests a broad interest in applying AI across different domains. This aligns well with a culture that values innovation and exploration. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-driven approach to learning and building, which could be a positive indicator for operational fit in a dynamic environment.