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AI Engineer with less than a year in LLMs, RAG, and Workflow Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated AI Automation Engineer with hands-on experience building AI-powered systems, conversational agents, workflow automation, and intelligent applications. Skilled in developing scalable AI solutions using LLMs, RAG architectures, and automation tools to improve operational efficiency. Strong background in machine learning, prompt engineering, and data-driven systems with experience delivering production-ready AI workflows.
Islamia University of Bahawalpur
Bachelor of Science · Artificial Intelligence
September 1, 2023 – June 1, 2027
Codelab
AI Automation Engineer
January 1, 2025 – August 1, 2025
India
Telegram AI Customer Support & Scheduling Bot
June 11, 2026 – Present
Developed an AI-powered Telegram customer support bot using n8n, OpenAI, and Google Calendar integration that automates customer interactions and appointment management. The system handles scheduling, rescheduling, availability checks, and event management through conversational AI with memory support and automated reminders, improving response efficiency and reducing manual coordination effort.
AI-powered Email Ticketing System
June 11, 2026 – Present
Built an AI-powered Email Ticketing System that automatically converts support emails into structured tickets using LLMs. Implemented smart ticket routing, AI-based classification, and automated customer responses. Developed analytics and dashboard features using Python, FastAPI, OpenAI, and PostgreSQL.
Machine Learning
Coursera
June 1, 2026 – Present
Python
Coursera
June 1, 2026 – Present
Data Scientist
credly
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning and applying new technologies, which is a positive indicator for cultural fit in an innovative environment. The diversity of tools and platforms used (n8n, OpenAI, Google Calendar, LangChain, Pinecone, PostgreSQL, FastAPI) suggests adaptability and a willingness to explore different solutions. The target role of 'AI Engineer' aligns well with the candidate's stated skills, experience, and educational background in Artificial Intelligence.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify real-world problems and apply AI solutions, suggesting a problem-solving mindset. The focus on automation and efficiency in projects aligns with operational effectiveness. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.