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AI Engineer with less than a year in Generative AI, Computer Vision & Distributed Systems
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AI Engineer with experience building production-grade AI solutions across Generative AI, Computer Vision, Voice AI, and distributed backend systems. Experienced in designing RAG architectures, agentic workflows, computer vision pipelines, model fine-tuning, distributed inference systems, and cloud-native AI applications. Proven track record of delivering measurable business impact through automation, intelligent systems, and scalable AI platforms.
Government College University (GCU), Lahore
B.Sc. (Hons.) · Computer Science
November 1, 2021 – September 1, 2025
GenITeam Solutions
AI/ML Engineer Intern
November 1, 2025 – May 1, 2026
India
AI Avatar Call Agent
June 23, 2026 – Present
Built an AI-powered voice and video call agent using OpenAI Realtime API, LiveKit, and Beyond Presence, supporting real-time conversations with sub-second latency. Delivered screen sharing, automated support workflows, and email-based ticket summarization at the end of each session.
View ProjectThe OpenRecord: RAG-Based Federal Register Intelligence Platform
June 23, 2026 – Present
Architected a full RAG pipeline for semantic search and analysis of U.S. Federal Register documents using OpenAI embeddings, FastAPI, and PostgreSQL. Integrated Stripe subscription payments and containerized the entire stack with Docker for reproducible deployment.
Credit Card Fraud Detection
June 23, 2026 – Present
Trained and optimized Logistic Regression, Random Forest, and XGBoost classifiers on 284,807 transactions (imbalanced dataset with 492 fraud cases). Achieved 92.3% recall and 88.7% precision on the fraud class using stratified 5-fold CV, GridSearchCV, ROC AUC analysis, and feature importance visualization. Deployed the model as a REST API endpoint via FastAPI.
Tour Guide Web Portal
June 23, 2026 – Present
Built a full-stack web platform connecting tourists with verified local guides across Pakistan, featuring role-based dashboards, guide verification workflows, and review moderation. Integrated Stripe payments and real-time booking workflows, deployed on Vercel with a Node.js/Express backend.
View ProjectRobotics Vision: YOLO-World and YOLOE Fine-Tuning and Inference
June 23, 2026 – Present
Fine-tuned YOLO-World and YOLOE models on a custom robotics dataset (hands, gloves, and metal parts detection) across multiple video sources, adapting pretrained weights using domain-specific annotations on Google Colab T4 GPU. Ran comparative inference pipelines across both architectures, producing annotated video outputs and evaluating detection precision across industrial object classes.
Potato Disease Classification
June 23, 2026 – Present
Trained a CNN on the PlantVillage dataset (54,000+ images, 3 classes: Early Blight, Late Blight, Healthy) achieving 97%+ validation accuracy. Deployed the model via FastAPI and TensorFlow Serving on GCP Cloud Functions, with a TF Lite variant for on-device inference.
View ProjectCultural Fit Analysis
The candidate's diverse portfolio of personal projects, ranging from AI call agents to RAG platforms, fraud detection, and robotics vision, indicates a strong passion for AI and continuous learning. This breadth of interest and proactive project development suggests a self-starter who is likely to thrive in an innovative and challenging environment. The experience with full-stack development (Tour Guide Web Portal) also shows versatility beyond core AI, which can be valuable in cross-functional teams. The candidate's academic background and internship at GenITeam Solutions further support a good fit for a technically driven culture.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience demonstrate a strong problem-solving aptitude, an ability to work with complex, real-world datasets (e.g., imbalanced fraud detection, robotics vision), and a focus on delivering measurable business impact. The detailed project descriptions suggest good communication of technical concepts and outcomes. The internship experience indicates an ability to contribute to production systems and collaborate on team projects.