
10
3
India
2+ years of experience
I’m an aspiring AI developer and startup founder passionate about building intelligent and scalable solutions. Currently exploring AI automation and agent-based systems using tools like Firebase, GitHub Copilot, and Gemini. I enjoy turning innovative ideas into real-world applications through rapid prototyping and collaboration.

HawkSentinel AI is an autonomous, real-time account security system designed to protect large-scale trading platforms like Deriv from account takeovers and unauthorized access. Modern attacks often bypass static security rules by mimicking normal user behavior. HawkSentinel addresses this gap by continuously analyzing live login events using device consistency, geo-velocity, and behavioral patterns. Each session is risk-scored in milliseconds, allowing the system to identify anomalies such as impossible travel or previously unseen high-risk device configurations. What differentiates HawkSentinel is its AI Forensic Agent, which does not simply raise alerts. Instead, it explains why a session is risky in plain language and recommends immediate actions. For high-risk events, HawkSentinel can autonomously freeze accounts and trigger two-factor authentication resets without waiting for manual review. The system is built using Python, FastAPI, Streamlit, and large language models, and runs entirely on synthetic data for safe demonstration. HawkSentinel demonstrates how explainable AI can enable faster, safer, and more trustworthy security decisions at scale.
7 Feb 2026

The Problem Enterprises hire thousands of employees annually, generating a massive volume of employment contracts. Reviewing these manually is slow (averaging 30 minutes per contract), prone to human error/fatigue, and costly. A single overlooked non-compliant clause—such as a "7-day notice period" where the law mandates "30 days"—can expose the company to significant legal risks and penalties. The Solution: Compliance Hawk Compliance Hawk is not just a document reader; it is an autonomous AI Agent designed to act as a Level-1 Legal Auditor. Unlike standard LLM wrappers, it combines the reasoning power of Generative AI with deterministic rule enforcement to provide 100% reliable audits. How It Works (Technical Architecture) We leveraged the IBM watsonx Orchestrate platform to build a seamless agentic workflow: Orchestration: IBM watsonx Orchestrate manages the conversation flow and skill routing. Intelligence: We utilized the Llama 3.2 model for its superior ability to extract specific clauses and reason against legal context. Custom Skills: A Python FastAPI backend (exposed via ngrok) handles the "Audit Contract" skill. Logic: The agent extracts key parameters (Salary, Notice Period, Role) and validates them against hard-coded Indian Labor Law standards. Key Features Risk Scoring: Assigns a binary Risk Score (0 for Safe, 100 for Critical) to eliminate ambiguity. Edge Case Handling: Smart enough to detect missing clauses (e.g., if a notice period isn't mentioned at all) and flag them as non-compliant. Instant Reasoning: Provides a clear legal explanation for every flag. Impact Compliance Hawk reduces the contract review lifecycle from 30 minutes to just 6 seconds per document, ensuring uncompromising compliance with zero manual oversight.
23 Nov 2025

Project Hawkkeyed is an AI automation platform built entirely on Gemini 2.0, designed to replace repetitive analytical tasks with intelligent workflows. The system converts four types of inputs — documents, URLs, structured data, and chat instructions — into actionable outputs such as summaries, insights, charts, emails, and downloadable reports. Each workflow is engineered to be clean, fast, and production-ready, offering precise intelligence with clear UI/UX. The project focuses on real-time reasoning, automated reporting, and multi-step data processing, making complex tasks accessible to anyone. Hawkkeyed demonstrates how AI can be used to automate everyday professional workflows with speed, accuracy, and full-stack execution.
19 Nov 2025