Help & Supportcareers@gravityer.com
AI Engineer with 1+ years in NLP & Web Development
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/ML Engineer with a Computer Science background and hands-on experience in NLP, fraud detection, and backend web development. Built a production-ready multilingual fraud detection system achieving 96.6% accuracy using mBERT, XGBoost, and Explainable AI frameworks. Combines deep technical ML expertise with business development experience to deliver measurable, stakeholder-ready solutions.
The Agriculture University of Peshawar
B.Sc. · Computer Science
N/A – June 30, 2021
The Revolution Technologies
Backend Developer
January 1, 2022 – December 1, 2022
India
ADMK Solution
WordPress Developer
March 1, 2021 – December 1, 2021
India
SmartShield - Multilingual AI Fraud Detection System
June 27, 2026 – Present
Engineered a multilingual NLP pipeline achieving 96.6% accuracy and 0.92 F1-score using a custom Smart Masking pipeline to prevent model overfitting on ephemeral attacker artifacts (phone numbers/URLs). Built a high-performance ensemble model combining mBERT, XGBoost, and SVM, optimised via GridSearchCV and TF-IDF trigrams to capture complex linguistic patterns in code-switched Roman Urdu/English SMS. Resolved extreme class imbalance (77% fraud prevalence) using SMOTE, improving generalisation across diverse fraudulent campaign types. Integrated SHAP and LIME frameworks for token-level intent reasoning, enabling identification of high-risk keywords and increasing model transparency for stakeholders. Deployed a production-ready Streamlit dashboard via ngrok for real-time SMS classification and adversarial pattern analysis.
Cultural Fit Analysis
The candidate's project 'SmartShield' demonstrates a strong alignment with an AI Engineer role, showcasing practical application of advanced ML concepts. The prior experience in backend and WordPress development indicates versatility and a foundational understanding of software development lifecycle, which can be beneficial for deploying AI solutions. However, the professional experience is primarily in web development, which, while useful, is not directly in AI/ML. The academic project is strong, but the professional experience does not directly reflect AI/ML roles, which might indicate a transition into the AI field. This suggests a moderate cultural fit, with potential for growth into a dedicated AI role.
Soft Skills & Operational Fit
The candidate's resume highlights 'Business Communication', 'Client Engagement', and 'Cross-functional Collaboration' as soft skills. The project description for SmartShield also mentions 'Client Engagement' and 'increasing model transparency for stakeholders', suggesting an awareness of stakeholder needs and communication. However, without direct assessment data, the operational fit and depth of these soft skills cannot be fully validated.