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Planner-driven-agents-MCP-web-search-optional-Playwright-browser-MCP---A18
April 5, 2026 – Present
Multi-agent assistant with planner DAG, MCP tools (web search + optional browser), PDF distillation, and OpenAI-compatible LLM failover — AWS-ready.
View ProjectHybrid-Planning-Agent_A9
March 27, 2026 – Present
ybrid planning decision agent using MCP tools, heuristics, and local FAISS/RAG indexing : Assig 9 (A9)
View Projectcortex-ops-agent-A8
March 27, 2026 – Present
MCP-based automation agent triggered from Telegram that fetches F1 standings, creates a Google Sheet, shares the link, and sends it via Gmail using stdio + SSE tools. (A8)
View ProjectContext-Retrieval-Chrome-A7
March 24, 2026 – Present
Chrome extension + FastAPI: semantic page memory with vector search (FAISS), retrieval + RAG answers, secure skip rules, open-and-highlight navigation. Shorter option if you prefer minimal: A7 · Semantic browser memory: Chrome extension, embeddings + FAISS retrieval, RAG summaries, source jump with highlighting. A7
View Projectwebcanvas-agentic-studio-A6
March 23, 2026 – Present
Preference-aware browser drawing assistant with a 4-layer cognitive agent architecture (Perception, Memory, Decision, Action), powered by FastAPI + Chrome Extension
View ProjectWebCanvas-Reasoning-A5-
March 22, 2026 – Present
A Chrome Extension that allows users to draw directly on any webpage and uses the Gemini Vision API to analyze sketches, provide artistic critique, and generate creative prompts using structured JSON reasoning. (Assignment 5)
View Projectenhanced-browser-agent-mcp---A12
September 2, 2025 – Present
🤖 Intelligent Browser Agent with MCP Integration || Key Features: • Smart form filling with field type detection • Radio button, checkbox, and dropdown handling • Multi-step task execution and planning • MCP (Model Context Protocol) integration • Memory management and session persistence • Error recovery and adaptive strategies
View Projectkaggle-Competition-test
August 21, 2025 – August 21, 2025
kaggle Competition test for the cursor
View Projectpaint-ai-agent
April 22, 2025 – April 22, 2025
This project demonstrates an Agentic AI system that uses a Gemini-powered MCP server to interpret natural language instructions and automate Microsoft Paint using GUI simulation tools on Windows.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI, agentic systems, and Python, which, while demonstrating advanced technical capabilities, do not directly align with a pure Frontend Developer role. The projects are all personal, which shows initiative but lacks evidence of team collaboration or experience in a professional development environment. This suggests a potential mismatch with a standard frontend development team culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on complex problem-solving and agentic systems, which could imply strong analytical skills, but direct evidence of collaboration or communication is absent.