Basil Ali Khan

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Basil Ali Khan

Graduate of 2026
BS Computer Science

Aspiration Statement

I specialize in building autonomous, self-healing systems and GenAI workflows to redefine the future of intelligent automation.

Core Skills

  • Agentic AI
  • Langgraph
  • Machine Learning
  • N8N
  • Python

Core Competencies

  • Acts with Ownership
  • Adaptability
  • Collaborates Openly
  • Planning
  • Takes Initiative

Preferred Career Paths

First priority: AI/ML Engineer

Second priority: Software Engineer

Third priority: Responsible AI

Academic Awards / Achievements

  • Dean's List 2023, 2025
  • President's List 2023

Experience

Leadership / Meta-curricular

  • Cricket Representative, Sports & Recreational Club

Internship / Volunteer Work

  • Associate Ai Engineer, Tps Worldwide (October 2025 – April 2026)
  • Founder and Ceo, Ad-Duha (March 2024 – April 2026)
  • Product Development Intern, Tps Worldwide (June – August 2025)
  • Product Development Intern, Kaispe (July 2024)

Final Year Project

Project Title

Autonomous Incident Management System

Description

My FYP leverages Agentic AI, N8N, and LangGraph to transform traditional monitoring into an autonomous, self-healing framework. Designed for high-stakes financial environments, the project aims to replace manual triaging with a multi-agent system capable of real-time log analysis, database optimization, and code review. The purpose is to move beyond static, rule-based alerts toward GenAI-driven reasoning that diagnoses and remediates system failures independently. By deploying specialized agents to handle complex operational tasks, the system drastically reduces Mean Time to Resolution (MTTR) and enhances infrastructure reliability. The primary benefit is a scalable, intelligent automation layer that ensures 24/7 stability for payment switches, redefining how we manage and secure enterprise-scale digital ecosystems through the intersection of AIOps and Generative AI.

Project Pictures