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AI Systems & Full Stack Developer | Building Multi-Agent Tools
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
incident-management-system
May 1, 2026 – Present
Scalable Incident Management System (IMS) simulating real-world SRE workflows. Handles high-throughput signal ingestion, intelligent incident grouping, lifecycle state management, and enforced RCA. Built using FastAPI, React, Redis, MongoDB, and PostgreSQL with focus on async processing, resilience, and system design.
View Projectsyed-portfolio
March 29, 2026 – Present
AI Agent Systems & Full Stack Developer portfolio built with Next.js, TypeScript, and Tailwind CSS.
View ProjectAUTO-INSIGHT
March 7, 2026 – Present
AI-powered multi-agent analytics platform that automates data cleaning, EDA, ML predictions, and report generation from raw datasets.
View Projectanimehub
February 26, 2026 – Present
Open-source anime streaming platform with full PRD, design system & tech architecture. Built with Next.js, TypeScript, Tailwind CSS & PostgreSQL. Vibe coded from idea to deployment.
View Projectmarket-research-crew
February 22, 2026 – Present
Multi-agent AI market research system built with CrewAI, powered by Groq's LLaMA 3.3 70B. Features 5 specialized agents for market analysis, competitive intelligence, customer insights, product strategy, and business analysis.
View Projectcinex-streaming-platform
February 20, 2026 – Present
Cinex is a full stack Netflix-inspired streaming platform built with Next.js, TypeScript, Node.js, Express, and MongoDB. It integrates the TMDB API for real-time content, implements JWT authentication with HTTP-only cookies, and follows a clean frontend–backend architecture designed for scalability and production-ready development.
View Projectmulti-agent-report-system
February 16, 2026 – Present
Multi-agent AI report generator built with CrewAI and Streamlit, powered by local LLM inference using Ollama. Includes streaming output and modular agent configuration.
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, including hackathon participation and open-source contributions, suggests a proactive and curious individual who is likely to adapt well to dynamic environments. The range of technologies used across projects indicates a willingness to explore and learn, which aligns with a growth-oriented culture. The focus on full-stack and AI projects, while targeting a frontend role, shows versatility.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest initiative and the ability to work on diverse projects, but direct evidence of collaboration, problem-solving under pressure, or communication style is not available.