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╭─────────────────────────────────────────────────────────────────────────────────────────╮
│ OPERATOR : Rajan Mishra (@aiwithrajan) │
│ CORE DOMAIN : Autonomous Agent Systems · RAG Architectures · Full-Stack Products │
│ FLAGSHIPS : summary · Agent-Harness- · fasttalk · relay · pdf-chatbot │
│ STACK DRIVERS : Python · TypeScript · FastAPI · Flask · Vite · Docker Compose │
│ DEVELOPMENT ARC : ML & Experiments ──> Full-Stack Web ──> Production Agent Systems │
│ BUILD ETHOS : "Prototype rapidly, isolate complexity, and harden for production." │
╰─────────────────────────────────────────────────────────────────────────────────────────╯
[ PHASE 01: EXPLORATION ] ────► [ PHASE 02: WEB & ML ] ──────► [ PHASE 03: AGENTS & SYSTEMS ]
• Geospatial Python scripts • Flask & FastAPI Backends • Autonomous Agent Harnesses
• Emotion Detection (CV) • Twilio Automation APIs • Research Paper Synthesizer (summary)
• Jupyter Analysis Notebooks • Credit Risk Classification • Retrieval-Augmented Generation (RAG)
| Layer | Tools & Ecosystem |
|---|---|
| 🤖 AI Agents & RAG | Autonomous Agent Loops, Agent Harnesses, Document RAG (PDF Q&A), Research Paper Agents, Prompt Engineering, Structured LLM Tool Calling |
| 💻 Languages | Python, TypeScript, JavaScript, HTML5, CSS3, SQL, Bash |
| ⚡ Backend & APIs | FastAPI, Flask, REST APIs, Vercel Serverless Functions, Twilio Messaging APIs, Asynchronous Python |
| 🎨 Frontend & UI | React, Next.js, Vite, Tailwind CSS, PostCSS, Embeddable Chatbot Widgets |
| 📊 Machine Learning & CV | Scikit-learn, OpenCV / Computer Vision (Emotion Detection), Automated Model Training Pipelines, Jupyter Notebooks |
| 🛠️ DevOps & Infrastructure | Docker, Docker Compose, Vitest, Git, GitHub Actions, Procfile Deployments |
Flagship Architecture: Autonomous Research Paper Summarizer & Synthesis Agent (
summary)
flowchart TD
classDef cyber fill:#080e1c,stroke:#00ffa3,stroke-width:1.5px,color:#00ffa3;
classDef accent fill:#080e1c,stroke:#00e5ff,stroke-width:1.5px,color:#00e5ff;
classDef warn fill:#080e1c,stroke:#9d4edd,stroke-width:1.5px,color:#9d4edd;
INPUT["Research Document (PDF / ArXiv)"]:::accent --> EXTRACT["Document Parser & Text Chunking"]:::cyber
subgraph Agentic_Layer ["Autonomous Agent Orchestration Engine"]
EXTRACT --> PLANNER["Synthesis & Task Planner"]:::cyber
PLANNER --> RETRIEVER["Contextual Section Retriever"]:::cyber
RETRIEVER --> TOOL_CALL["Analysis Tools & Fact Extractor"]:::warn
TOOL_CALL --> SUMMARIZER["Structured Insight Generator"]:::cyber
end
SUMMARIZER --> VALIDATE{"Coherence & Citation Check"}:::accent
VALIDATE -- "Incomplete" --> PLANNER
VALIDATE -- "Verified" --> INTERFACES["Multi-Modal Delivery"]:::cyber
subgraph Output_Interfaces ["Presentation & Delivery Tier"]
INTERFACES --> CLI["Terminal CLI Tool"]:::cyber
INTERFACES --> REST["FastAPI / Web Server"]:::accent
INTERFACES --> WEB["Interactive Frontend UI"]:::warn
end
| System | Architecture & Focus | Stack | Link |
|---|---|---|---|
summary |
Autonomous Research Paper Summarizer: End-to-end research synthesis engine equipped with an agent orchestration layer, REST API, CLI tool, and frontend interface. | Python Agents FastAPI CLI |
Explore ↗ |
Agent-Harness- |
Agent Evaluation & Tooling Suite: Experimental platform for testing agent harnesses, capabilities, benchmark demos, and TrueForge integrations. | TypeScript Vite Vitest Agents |
Explore ↗ |
fasttalk |
Modern Interactive Web Application: High-performance UI architecture with modular components, dynamic video assets, and polished styling. | TypeScript Tailwind Vite |
Explore ↗ |
relay |
AI & Media Workflow Platform: Full-stack application coordinating backend logic, video processing pipelines, and Vercel cloud deployment. | Python Full-Stack Vercel |
Explore ↗ |
pdf-chatbot |
Document Intelligence RAG System: Conversational question-answering assistant over dense PDF documents powered by semantic retrieval. | Python RAG LLMs Vector Search |
Explore ↗ |
level1 |
Hack Club Full-Stack Systems Project: Application codebase featuring smart contract interactions, scripts, test coverage, and containerization. | TypeScript Docker Compose Vitest |
Explore ↗ |
invoice_project |
Automated Invoice Quality Control: Full-stack enterprise tool checking, parsing, and validating invoices with a dedicated Python backend. | Python Flask Procfile QC |
Explore ↗ |
credit-risk-prediction- |
On-Demand ML Risk Engine: Machine learning classification service dynamically training credit risk decision models at API startup. | Python FastAPI Scikit-Learn |
Explore ↗ |
▸ Click to view complete categorized index of all 34 repositories
| Domain | Repositories |
|---|---|
| 🤖 AI, LLMs & Agent Tooling | summary, Agent-Harness-, pdf-chatbot, agent, fasttalk, relay, polynova |
| 🌐 Full-Stack & Web Applications | invoice_project, level1, flask, widget, twilio-project, python |
| 💬 Chatbot Widgets & UIs | wid, frontend, chatbot |
| 🔬 Applied ML & Computer Vision | credit-risk-prediction-, Emotion-detection-system |
| 🧪 Learning, Notebooks & Labs | ASSIGNMENT1, poiu, qwe, oiuytre, my-first-geo-python-code, first |
| 📦 Prototypes & Experiments | forme-, moon, industrial-training-project, try, run, troy, wqe, host, p9-iu |
$ rajan --connect
Connecting to operator node...
[+] Email : imrajan098@gmail.com
[+] LinkedIn : https://linkedin.com/in/rajanmishra01
[+] X : https://x.com/RajanMi26020288
[+] GitHub : https://github.com/aiwithrajan
I engineer open-source autonomous agent frameworks, document intelligence (RAG), and production AI developer tooling.
Your sponsorship directly funds LLM API compute tokens (Anthropic / OpenAI / Gemini), cloud benchmarks, and dedicated hours building free & open AI tools for the community.
