name: "Aman Yadav"
role: "Software Developer · AI Platform & Security Engineer"
company: "Smart Technology"
brand: "automatlog.in"
education: "B.Tech CSE (Cybersecurity & Networking) · ITM-SLS Baroda University"
location: "Vadodara, Gujarat 🇮🇳"
focus: ["AI & Agent Security (MCP)", "CPaaS & Unified OAuth", "OWASP Pentesting", "Full-Stack & LLM RAG"]
currently: "Engineering AI Agent Tooling & MCP Threat Research"
community: "AWS User Group Vadodara · DeepLearning.AI Ambassador · GDSC Lead"
ask_me_about: "MCP Threat Modeling · OAuth 2.0 / IAM · CPaaS Pipelines · WebApp Security"
fun_fact: "💭 Alive & Well Functioning...!"- 🚀 Software Developer @ Smart Technology — Engineering forward-deployed CPaaS, AI agent tooling, and cloud platforms.
- 🛡️ AI & Agent Security Researcher — Focused on Model Context Protocol (MCP) servers & agentic security: tool poisoning, schema poisoning, confused-deputy attacks, and prompt misuse.
- 🔑 OAuth & IAM Architecture — Architected unified OAuth hubs across 6+ platforms (Zoho, HubSpot, Shopify, Razorpay) and multi-channel pipelines (WhatsApp, SMS, RCS).
- 🤖 GenAI & RAG Systems — Implemented production RAG pipelines with Python, PyTorch, HuggingFace Transformers, vLLM, pgvector, and LangGraph orchestration.
- 🌐 Founder & Builder at automatlog.in — Shipping production platforms, web applications, and security tooling for client ecosystems.
- 🏆 Top 5% contributor on TryHackMe (Security Engineer Learning Path) & Microsoft Certified: Azure Administrator Associate (AZ-104).
- 🤝 Community Leadership — Management Lead @ GDSC ITMBU · Student Ambassador @ DeepLearning.AI · AWS User Group Vadodara.
- 📫 Reach me via LinkedIn or explore my portfolio at automatlog.in.
| Application Security & Pentesting |
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| AI, Agents & Security |
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| Cloud, DevOps & SOC |
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| Languages |
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| Frameworks & Mobile |
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| Databases |
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| Developer Tools & UI |
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AI-agent automation platform featuring a visual chatbot builder, multi-agent orchestration with an intelligent routing layer, centralized management console, embeddable widgets, human-like face agents, and adaptive interaction-based learning. |
Independent threat-modeling research on Model Context Protocol (MCP) servers in agentic AI. Auditing tool poisoning, schema manipulation, confused-deputy attack surfaces, and tool-permission misuse mapped directly to CVEs and MCP specifications. |
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Omnichannel CPaaS solution delivered on Android & iOS (React Native, Expo) with webhook-driven WhatsApp, SMS, and RCS pipelines, WebRTC voice signaling over FreeSWITCH, and consolidated OAuth 2.0 multi-provider token management. |
Full-stack OSINT reconnaissance and threat scanning platform built with React & Python. Features automated intelligence gathering, dynamic PDF threat reporting pipelines, and zero-plaintext credential handling with environment-based secret isolation. |
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Automated molecular docking pipeline for computational drug-discovery research utilizing AutoDock-GPU, AutoDock4, OpenBabel, GNINA, and RDKit with AI-assisted binding-site detection, automated ligand prep, and result scoring. |
🔐 cRYpToGRaphY & CTF Security LabsOpen-source repository of cryptographic ciphers, encoding/decoding implementations, CTF vulnerable lab challenges, and offensive security tooling tested across TryHackMe and PortSwigger Web Security Academy. |
"💭 Alive & Well Functioning...!"




