AI Engineer with less than a year in building, testing, and validating AI/ML systems and web applica
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineering student at GCU with hands-on experience building and testing AI and ML systems. Spent the last year catching mismatches between what Al models were supposed to produce and what they actually output across text prompts, generated UIs, and multi-turn conversations. Detail-oriented, comfortable working independently, and genuinely interested in how AI fails.
Government College University, Lahore
Bachelor of Software Engineering · Software Engineering
August 1, 2023 – June 30, 2027
Lahore College for Women University, Lahore
I.Cs-Physics · Physics
June 1, 2021 – May 31, 2023
a local academy
Conducted C and C++ programming classes
December 1, 2025 – June 1, 2026
India
Weather Prediction System
March 1, 2026 – June 1, 2026
ML forecasting model in Python; traced data anomalies in raw dataset that were causing wrong predictions.
Quality Assurance Tool – Playwright
March 1, 2026 – June 1, 2026
Built an automated browser testing framework covering 7 end-to-end test scenarios. Caught a subtle bug where the test was clicking 'Add to Favourites' instead of 'Add to Cart' fixed by carefully reading the actual page state vs. assumed state.
Rental Clinic Management System (RCMS)
March 1, 2026 – June 1, 2026
Java + MySQL system with role-based access, patient records, inventory, PDF reports, full SRS + ERD.
AI Web Application Builder
March 1, 2026 – June 1, 2026
System that converts natural language prompts into working HTML/CSS/JS websites. Core challenge: verifying the generated output actually matched the prompt e.g. 'blue navbar with search bar' had to produce exactly that.
AI Doctor Disease Prediction System
March 1, 2026 – June 1, 2026
Python AI that asks follow-up questions and narrows diagnoses from a symptom dataset. Tested for logical consistency across turns — model's conclusion had to follow from what it was told earlier.
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests, from AI/ML to web development and traditional software systems. The focus on identifying and fixing issues in AI models aligns well with a problem-solving culture. The teaching experience suggests a willingness to share knowledge. The candidate is still pursuing a bachelor's degree, indicating a strong learning orientation. The projects are diverse enough to show adaptability, but all are academic, which is expected given the experience level.
Soft Skills & Operational Fit
The candidate's objective statement highlights being 'detail-oriented, comfortable working independently, and genuinely interested in how AI fails,' which suggests a proactive and analytical mindset. The experience in teaching C/C++ indicates good communication and instructional abilities. Project descriptions show an understanding of core challenges and problem-solving approaches.