Bilal Javed

Recent Computer Science graduate specializing in AI/ML, Generative AI, and full-stack development. Experienced in building scalable AI systems from model development to production deployment. Skilled in transformer-based NLP, computer vision, multi-agent LLM workflows, and cloud-native application development. Passionate about applying AI to real-world automation, accessibility, and analytics problems.

Junior AI Engineer - Annovasol

(2025-12 - 2026-04)

• Designed and deployed 3+ GenAI-powered automation workflows using n8n, integrating Gemini and OpenAI LLM APIs to automate business processes, reducing manual effort by an estimated 40%.
• Built end-to-end AI pipelines including prompt engineering, API orchestration, data validation, and structured output handling.

AI intern - VisionX

(2025-06 - 2025-08)

Built a CV pipeline using YOLO for detection and X3D for action recognition to identify suspicious behavior in retail environments.

• Developed a YOLO + X3D computer vision pipeline for retail shoplifting detection, achieving 85%+ accuracy on a custom dataset of 2,000+ annotated frames, with a ~15% precision gain over pretrained baselines.
• Implemented a facial recognition module integrated into the detection system, enabling real-time security alerts for retail store operators.
• Fine-tuned models on custom datasets to improve shoplifting detection accuracy and support real-time security alerts.

Bachelors - Computer Science - FAST NUCES (2022-08 - 2026-06)