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AI Engineer with 1+ years in LLM Inference Pipelines & AWS Cloud Infrastructure
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.