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AI Engineer with less than a year in LLMs & RAG
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Ahmed Saeed Mirza is an aspiring AI Engineer with 1 month of internship experience focusing on web-based solutions and enterprise software modernization. Proficient in AI/ML, Generative AI, and RAG systems, he has developed several academic projects leveraging LLMs, React Native, and FastAPI for automated grading, personalized news delivery, and admissions assistance. He is also skilled in Python, JavaScript, and various databases, demonstrating a strong technical foundation and a passion for applied AI.
FAST National University of Computer and Emerging Sciences
Bachelor of Science · Software Engineering
August 1, 2022 – June 1, 2026
The City School and College
Advanced Level · Computer Science, Mathematics, Physics
June 1, 2020 – June 1, 2022
Ora-Tech Systems (Pvt) Ltd
Oracle Database Intern
July 1, 2024 – August 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
PersonaFeed
June 1, 2026 – Present
Built an autonomous agentic news delivery system using LangGraph that fetches, ranks, summarizes, and delivers personalized news digests to users via email, based on dynamically evolving interest profiles. Designed an 8-node LangGraph StateGraph pipeline covering candidate fetching, FAISS-based semantic scoring against user interest vectors, deduplication, LLM summarization, HTML formatting, and delivery, fully autonomous end-to-end. Implemented a closed-loop feedback engine: inbound email replies are parsed, intent-classified by an LLM, and used to adjust per-user preference weights in real time, making the system progressively smarter with each interaction. Developed a Vue.js dashboard with APScheduler-driven per-user delivery scheduling, preference weight visualization, and onboarding wizard featuring LLM-generated sub-topic suggestions to solve the cold-start problem.
CheckMate
June 1, 2026 – Present
Built a web and mobile Learning Management System (LMS) that automates handwritten exam grading using OCR and LLM-based rubric evaluation, eliminating manual grading bottlenecks. Designed an end-to-end AI grading pipeline with context-aware assessment generation, leveraging RAG to align evaluations with course-specific rubrics. Developed a React Native mobile app with a built-in document scanner enabling teachers to attach and submit handwritten exam papers directly from mobile devices. Built an analytics dashboard that identifies student knowledge gaps and tracks performance trends, delivering actionable insights to educators.
EdTech Multi-Agent System
December 1, 2025 – Present
Architected a Supervisor-Agent system using LangChain and LangGraph to orchestrate specialized AI agents for MCQ, coding, math, and essay question generation via RAG from PDF course materials. Implemented long-term memory (LTM) caching, JWT authentication, and health monitoring to ensure reliability and scalability of the multi-agent pipeline. Integrated LaTeX PDF export for assessments and designed the system to support rapid deployment across multiple educational use cases.
View ProjectWarden
December 1, 2025 – Present
Developed an AI-powered admissions companion for international students featuring CV analysis, SOP and LOR evaluation, and RAG-based contextual guidance using LLM APIs. Implemented automated university and scholarship recommendation engine tailored to each student's academic profile, demonstrating applied AI delivering real business value. Built profile-centric data management encompassing academic records, test scores, and document tracking to support multi-step advisory workflows.
SecureChat
December 1, 2025 – Present
Built an end-to-end encrypted real-time messaging platform implementing key exchange protocols, digital signatures, and chunked file encryption via the WebCrypto API. Integrated security logging for authentication attempts and attack detection, demonstrating an understanding of secure AI and software deployment principles.
EliteAutoRentals
May 1, 2025 – Present
Developed a full-stack car rental platform with catalog management, booking workflows, and Stripe payment integration. Implemented a CI/CD pipeline via GitHub Actions for automated Docker image builds and container orchestration, demonstrating cloud deployment expertise.
AWS Cloud Quest: Cloud Practitioner
Amazon Web Services
April 1, 2026 – Present
Introduction to Python
DataCamp
August 1, 2025 – Present
Containerization and Virtualization Concepts
DataCamp
June 1, 2025 – Present
AI for Everyone
DeepLearning.AI
September 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in innovative AI applications, particularly in education and personalized services, which aligns well with a forward-thinking AI engineering role. The diversity of projects, from LMS to news delivery and secure chat, indicates adaptability and a broad technical curiosity. The focus on end-to-end system design and deployment, including CI/CD, suggests a practical, results-oriented mindset. The candidate's self-driven learning through certifications also points to a proactive and growth-oriented individual.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving abilities, a proactive approach to learning new technologies, and an ability to translate complex requirements into functional solutions. The academic projects, particularly those involving multi-agent systems and closed-loop feedback, suggest an analytical mindset and an iterative development approach. The Oracle internship, though brief, shows exposure to enterprise systems and stakeholder collaboration.