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AI Automation Engineer with 1+ years in LLM systems, Python & Flutter
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Assessing your cultural and operational fit
AI Automation Engineer and Computer Science graduate with hands-on experience in agentic LLM systems, RAG pipelines, and cross-platform Flutter development. Skilled in building practical AI tools using Python, LangChain, LangGraph, FastAPI, and vector search, with a strong focus on clean architecture and real-world usability. Actively seeking an AI Engineer role to apply expertise in agentic systems, LLM pipelines, and full-stack AI development at scale.
Arid Agriculture University, Rawalpindi
Bachelor of Computer Science · Artificial Intelligence
August 1, 2021 – July 1, 2025
Punjab Group of Colleges, Rawalpindi
FSC · Pre-Engineering (Intermediate)
August 1, 2019 – April 1, 2021
Grammar Public School, Rawalpindi
Matriculation · Science
May 1, 2017 – March 1, 2019
Brandliya
AI Automation Engineer
January 1, 2026 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Infinite Algos
App Developer
July 1, 2025 – January 1, 2026
Islamabad, Islamabad Capital Territory, Pakistan
Workora
July 1, 2025 – June 1, 2026
Full-stack workspace platform for agencies featuring task hierarchy, role-based permissions, recurring tasks, file uploads, CSAT workflows, dashboard analytics, and real-time collaboration. AI capabilities include image/text-to-task extraction, checklist generation, ETA suggestions, task simplification, and client-facing AI summaries.
Prompt-to-Project Agent
July 1, 2025 – June 1, 2026
Multi-stage AI agent that converts a natural language idea into a structured plan, implementation tasks, and generated project files. Planner → Architect → Coder agent flow built with Pydantic models, safe file-writing tools, and LangGraph-managed execution.
View ProjectGitHub Repo Analyzer
July 1, 2025 – June 1, 2026
FastAPI service that fetches a public GitHub repository and produces a structured vulnerability and optimization report using DeepSeek. Containerized with Docker and deployed to Hugging Face Spaces with environment-based API key management.
View ProjectTaleem AI
July 1, 2025 – June 1, 2026
AI-powered educational app where students access course materials and ask context-aware questions through a curriculum-sourced RAG pipeline with automated assessments.
Mama Mindful
July 1, 2025 – June 1, 2026
Pregnancy companion app with real-time progress tracking, health tips, medication reminders, symptom logging, and automated push notifications for critical health alerts.
Pendora
July 1, 2025 – June 1, 2026
Multi-role platform connecting users with life-decision experts through dual login, in-app subscriptions, coin purchases via RevenueCat, live sessions, and an admin analytics panel.
E-Rozgaar
July 1, 2025 – June 1, 2026
Social marketplace connecting skilled workers with clients through secure authentication, media-rich portfolios, social following, and real-time professional chat.
Cultural Fit Analysis
The candidate demonstrates a strong passion for AI and automation, evidenced by their academic focus, current role, and numerous personal projects. The diversity of projects, from educational AI to health tracking and task management, shows a broad interest in applying AI solutions to various domains. This aligns well with a dynamic, innovation-driven culture. However, the candidate's experience level is relatively low (currently a student, with limited professional experience), which might require more mentorship in a senior role. The psychometric test score is 0, which is insufficient to assess work attitude, stress handling, or team collaboration.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to manage full development lifecycles and integrate various technologies, suggesting good operational fit. The focus on 'clean architecture and real-world usability' in the professional summary points to an understanding of practical application and maintainability. However, without direct interview data, soft skills like teamwork, problem-solving under pressure, and communication in a collaborative setting cannot be fully assessed. The low English test score (7/100) is a significant concern for communication clarity in a professional setting.