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AI Engineer with 2+ years in Machine Learning & LLMs
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Assessing your cultural and operational fit
Computer Science undergraduate with hands-on experience in AI-driven applications and machine learning projects. Built RAG assistants, multi-model LLM pipelines, abstractive summarisation tools, and automation workflows using LangChain, Hugging Face, FastAPI, and open-source LLMs. Active AI research contributor at FAST NUCES. Seeking internship opportunities in AI/ML or applied AI.
FAST NUCES Lahore
BS Computer Science · Computer Science
August 1, 2023 – June 30, 2027
LACAS Johar Town
A Levels · Sciences
N/A – Present
Roots School System
IGCSE · Sciences
N/A – Present
MXM Consulting
Backend Intern
January 1, 2024 – December 31, 2024
India
FAST NUCES Lahore
AI Research Assistant
January 1, 2024 – Present
Lahore, Punjab, Pakistan
Work Automation Agent
January 1, 2024 – June 1, 2026
Developed an agent integrating Gmail and Google Calendar to automate workflow scheduling and communication tasks.
AI Emotional Support Assistant
January 1, 2024 – June 1, 2026
Engineered a full-stack emotional support application with a three-model pipeline for stress classification, empathetic dialogue, and personalised guidance. Delivered real-time support based on behavioural and academic inputs through an integrated AI application workflow.
YouTube Summariser
January 1, 2024 – June 1, 2026
Developed a YouTube video summariser using BART for abstractive summarisation with intelligent chunking of long transcripts.
AI Career Assistant
January 1, 2024 – June 1, 2026
Built a full-stack career assistant for semantic resume-job matching, AI-assisted resume rewriting, and cover letter generation. Implemented ATS-style match scoring using cosine similarity within a modular, maintainable application architecture.
Research Assistant
January 1, 2024 – June 1, 2026
Developed a retrieval-augmented assistant that uses semantic search and external context retrieval to generate context-aware responses. Combined Sentence Transformers, ChromaDB, and open-source LLMs for retrieval and answer generation workflows.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in practical AI applications, ranging from career assistance to emotional support and automation. This diversity, coupled with academic research experience, suggests a proactive and innovative mindset. The target role of 'AI Engineer' aligns well with their demonstrated project experience and technical skills in AI/ML and backend development. However, the experience level of '2' (likely years of experience) is relatively low for a senior role, which might impact immediate cultural fit for a highly experienced team without further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse AI applications, suggesting adaptability. Their academic achievements and research assistant role imply a strong work ethic and problem-solving aptitude. However, without specific psychometric or English test results, a comprehensive assessment of soft skills, stress handling, and team collaboration is not possible.