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AI Engineer with less than a year in NLP, Computer Vision & Multimodal AI
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Software Engineering student at NUST with hands-on internship experience in AI/ML engineering. Proven ability to build end-to-end pipelines in NLP, computer vision, multimodal AI, and full-stack integration. Skilled in Python, PyTorch, LangChain, LLMS, RAG pipelines, Agentic workflows and modern LLM tooling. AI hackathon winner at NUST. Seeking a Junior Software Engineer or AI/ML Engineer role to deliver production-grade solutions.
Cedar College
GCE A Levels
N/A – May 31, 2023
National University of Sciences and Technology (NUST)
Bachelor of Software Engineering
N/A – June 30, 2027
Beaconhouse School System
GCE O Levels
N/A – May 31, 2021
Entropik Labs
AI Engineer Intern
July 1, 2025 – September 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
Arch Technologies
Machine Learning Intern
April 1, 2025 – May 1, 2025
India
Multimodal Medical Report Analyzer
June 1, 2026 – Present
Fine-tuned YOLOv8 on 14,000+ Chest X-Rays to detect 14 thoracic abnormalities; achieved mAP@50 of 0.99 for healthy scans, 0.88 for Cardiomegaly, and 0.87 for Aortic Enlargement across 25 epochs on a T4 GPU. Architected a multimodal FastAPI backend integrating the fine-tuned YOLO vision engine, clinical text extraction, and a LangChain orchestration chain that cross-references detections with parsed report findings to generate patient-friendly summaries. Deployed a full-stack application featuring a real-time split-screen dashboard with an AI Grounding toggle for interactive bounding box overlays on annotated X-Rays.
View ProjectSonyc - Production Multimodal RAG System
June 1, 2026 – Present
Designed and deployed a complete RAG system ingesting PDFs, GitHub repositories, YouTube transcripts, and live web content into a unified vector knowledge base with semantic chunking, BGE/Gemini embeddings, and dual FAISS/ChromaDB indexing. Built LangChain pipelines with Runnables, Prompt Templates, Output Parsers, and multi-step Chains for context-aware LLM response generation. Deployed FastAPI backend on AWS EC2; embedding caching and async processing reduced average response latency by 40%.
View ProjectAI-Powered Video Calling Application
June 1, 2026 – Present
Built a real-time peer-to-peer video calling platform supporting low-latency stream. Integrated Gemini 2.5 Flash for real-time speech-to-text transcription with automatic language detection with live translation.
View ProjectPython for Data Science, AI and Development
IBM
June 1, 2026 – Present
Machine Learning Specialization
DeepLearning.AI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse projects, ranging from medical report analysis to RAG systems and real-time video calling, showcase a broad interest in applying AI across different domains. The hackathon win and leadership roles suggest a proactive and collaborative attitude, which aligns well with an innovative and fast-paced environment. The focus on production-ready solutions indicates a practical and impact-driven approach.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest strong initiative, problem-solving abilities, and a results-oriented mindset. The leadership roles in student societies indicate teamwork and organizational skills. The detailed project descriptions demonstrate good communication of technical concepts and outcomes.