Navaal Iqbal

PROFESSIONAL PROFILE AI Engineer and Software Engineering student with research experience in data-intensive machine learning systems across remote sensing and medical AI domains. Experienced in managing large-scale multi modal datasets, preprocessing and aligning heterogenous data for deep learning pipelines. Interested in advancing my expertise in data engineering and business intelligence through practical and research-driven knowledge. EDUCATION Bachelors in Software Engineering SEECS , Islamabad , 3.54 (2026) INTERNSHIP EXPERIENCE Benchmtarix 03-Sep-2025 - 25-Jan-2026 • Develop AI pipelines and REST APIs using FastAPI to automate processing of large-scale financial documents, including PDF ingestion and layout-aware data extraction. • Conduct systematic evaluations of OCRs and vision-language models (VLMs), including local on-prem deployments, to compare accuracy, efficiency, and computational overhead. • Optimize AI workflows for reduced memory and CPU usage on the main server. Foretheta LLC 20-Jan-2025 - 20-Apr-2025 • Worked on vector semantic search and keyword similarity search using Google’s SERP API to enhance patent search relevance. • Worked with vector representations and similarity search using FAISS library for scalable semantic indexing. • Contributed to the frontend of PatentScan (Foretheta’s product) using Vercel, integrated backend APIs, and implemented authentication with Clerk. Machine Vison and Intelligent Systems Lab (Machvis) 15-Sep-2024 - 15-Jan-2026 • Built a dataset pipeline linking 3D city-scale point clouds to human-annotated textual descriptions for aerial position localization. • Georeferenced SensatUrban point clouds using manually selected ground control points and geometric transformation functions. • Curated position-query pairs to create a spatial-semantic bridge for training and evaluating language-assisted localization models. FINAL YEAR PROJECT Gaze Guided Explainable AI for Brain Disorder Analysis in EEG Built a gaze based labelling tool using PyQt5 to capture neurologist’s gaze on EEGs using Tobii Spark eye tracker. Used the gaze data to capture fixations for visualizing heatmaps. Trained CNN and transformer based models for capturing spatially and temporally important regions in an EEG. Integrating gaze into models to explicitly align the model’s predictions with doctors’ diagnoses. TECHNICAL EXPERTISE Languages & Frameworks Python, C++, PyTorch, Langchain, Langgraph, NumPy, Pandas, OpenCV Domain Knowledge Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI

AI Engineer and Software Engineering student with research experience in data-intensive machine learning systems across remote sensing and medical AI domains. Experienced in managing large-scale multi modal datasets, preprocessing and aligning heterogenous data for deep learning pipelines. Interested in advancing my expertise in data engineering and business intelligence through practical and research-driven knowledge.