AI Engineer with 1+ years in LLM Inference Pipelines & AWS Cloud Infrastructure
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Assessing your cultural and operational fit
AI Engineer with hands-on production experience building LLM inference pipelines, AI-agent workflows, and cloud infrastructure on AWS. Experienced in prompt engineering, model evaluation, and Python-based ML pipelines - validated through industry roles and top-5 competitive research benchmarks. Passionate about building AI that is correct and safe first, especially in high-trust contexts where a confident wrong answer is the worst failure mode.
Habib University
BS in Computer Science · Computer Science
August 1, 2022 – May 1, 2026
Habib University
Minor in Design · Design
August 1, 2022 – May 1, 2026
Improdata
AI Engineer
October 1, 2025 – Present
Karachi, Sindh, Pakistan
Folio3
AI Engineer Intern
September 1, 2025 – March 1, 2026
Karachi, Sindh, Pakistan
10Pearls
QA Intern
June 1, 2025 – August 1, 2025
Karachi, Sindh, Pakistan
Durbeen
Software Developer
June 1, 2024 – August 1, 2024
Karachi, Sindh, Pakistan
AI SaaS Engineer – 3D Modeling & Automation
May 1, 2025 – September 1, 2025
Designed an AI-powered application for automating 3D modeling tasks, integrating user input with machine learning algorithms to generate real-time models, enhancing workflow efficiency for individuals designing spaces.
AI-Powered Pet Health Prediction
May 1, 2025 – January 1, 2026
Built an AI-driven web app using Python and Flask to predict feline diseases from symptom data, providing users with accurate and timely health predictions.
Sexism Identification in Tweets Using Ensembles & Augmentation: A Multilingual Approach
EXIST Lab, CLEF (Conference and Labs of the Evaluation Forum) 2025
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including freelance and personal projects, alongside internships and full-time roles, demonstrates initiative and a broad interest in applying AI. The research publication indicates a drive for innovation and contributing to the wider AI community. The focus on 'correct and safe AI' aligns with responsible development practices.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate a proactive approach to problem-solving and a focus on efficiency improvements. The QA internship suggests an attention to detail and collaboration skills. The research publication highlights a commitment to rigorous evaluation and competitive performance.