
5
3
India
1 year of experience
Currently Exploring :) 🎓 Pursuing Bachelors In CSE 💡 Data Science 💡 Ethical Hacking & Network Defense 💡 Machine Learning for Anomaly Detection 💡 Cloud Security & IAM Architecture 💡 LLM Tools for Cyber Threat Analysis I’m currently focused on integrating AI/ML with cybersecurity workflows—exploring how large language models can enhance log parsing, phishing detection, and automated threat response. I also enjoy building branded tools, modular environments, and automation pipelines that reflect both technical depth and personal identity. Let’s connect if you’re working on anything at the intersection of AI, cybersecurity, or cloud defense—I’m always open to collaboration and learning. #Cybersecurity #AI #MachineLearning #EthicalHacking #CloudSecurity #LLM #CyberDefense #TechForGood

Qubic Smart Contract Studio is an AI-powered development environment that democratizes Qubic blockchain development. Our tool eliminates the $200K+ barrier of hiring specialized C++ developers by letting anyone write smart contracts in plain English. Key Features: • AI Code Generation: Natural language → production C++ contracts in seconds • FREE Security Auditing: Real-time vulnerability detection (normally $50K-150K per audit) • One-Click Deployment: Deploy to Qubic testnet/mainnet instantly • 10x Faster Development: What takes weeks now takes minutes • Monaco Editor Integration: Professional IDE experience with syntax highlighting Built specifically for Qubic's unique architecture (15.5M TPS, feeless transactions, C++ QPI contracts), our tool leverages Aigarth AI capabilities and instant finality to provide real-time feedback. ✓ Measurable Impact: $200K savings per project, 10x speed improvement ✓ Real Utility: Expands Qubic ecosystem by making development accessible to everyone ✓ Production-Ready: Full stack implementation with React frontend, FastAPI backend ✓ Post-Hackathon: Launching on Nostromo Launchpad for ecosystem funding Technical Stack: Frontend: React 18, TypeScript, Monaco Editor, Tailwind CSS, Vite Backend: FastAPI (Python), OpenAI API, Qubic SDK Infrastructure: Docker, standalone deployment with mock mode Track 1 - Nostromo Launchpad : We're building the infrastructure that helps OTHER teams move from concept → deployment → community launch. Demo: Functional IDE with AI assistant, security panel, and deployment tools.
7 Dec 2025

Core Engine: IBM watsonx Orchestrate serves as the "Brain," managing the agent's lifecycle, tool connections, and reasoning logic. We utilized the ReAct (Reason + Act) framework, allowing the agent to break down complex user queries into a chain of logical steps (e.g., Step 1: Check Budget. Step 2: Check Policy. Step 3: Formulate Answer.). Knowledge Base: A hybrid ingestion model was used. Unstructured: PDF documents for policies (Leave_Policy.pdf, Hiring_Plan.pdf) enable Retrieval-Augmented Generation (RAG) for answering qualitative questions. Structured: CSV files (employee_data.csv, recruitment_data.csv) provide the quantitative data needed for analytics. Frontend & Deployment: To demonstrate enterprise scalability, we built a custom frontend using Next.js (React). This application acts as a secure interface for the agent. Security: The app uses Next.js API Routes to securely exchange the IBM Cloud API Key for a short-lived IAM Token on the server side. This ensures that sensitive credentials are never exposed to the client browser. Hosting: The entire solution is deployed on Vercel, providing a globally accessible, responsive interface that can be used on any device. Impact & Innovation TalentPilot represents a shift from "Passive HR" to "Active Orchestration." By automating the low-level work of policy checking and data retrieval, it frees up HR professionals to focus on what really matters: people strategy and culture. It ensures 100% compliance with dynamic company rules (like hiring freezes) and provides instant, data-driven answers that would normally take a human analyst hours to compile. This project demonstrates the true potential of Agentic AI: systems that don't just talk, but help us run our businesses better.
23 Nov 2025

Cybersentry is an autonomous cybersecurity agent framework designed to conquer CTF challenges and automate vulnerability assessments. It leverages Large Language Models to plan, execute system commands, and analyze results in real-time. The tool features a Gemini-inspired interactive UI, offering a polished CLI experience with dynamic, witty status animations that mimic the responsiveness of Google’s interface. Built on LiteLLM, Cybersentry is model-agnostic; you can power its agents using Google Gemini models simply by providing your Gemini API key. This allows you to combine Google's state-of-the-art reasoning capabilities with Cybersentry's autonomous offensive tools.
19 Nov 2025