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Aena Sehar

Aena Sehar

Principal AI Consultant

Talent
LahoreMember since May 7, 2026
Deep LearningAutoencodersImage SegmentationObject DetectionMedical ImagingTrackingOCRPyQTWeb ScrapingCloud Computing
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Deep LearningAutoencodersImage SegmentationObject DetectionMedical Imaging

About

Senior Full-Stack AI Engineer with expertise in computer vision, NLP, and LLMs, experienced in building and deploying end-to-end AI solutions across healthcare, SaaS, and real-time systems. Skilled in deep learning, model optimization, and scalable ML pipelines, with a strong ability to translate complex problems into practical, high-performance applications. Completed an MS in Computer Science with a specialization in Applied Artificial Intelligence.

Experience

Senior Full-Stack AI Engineer at Devspark Labs (2020-06 – Present)

  • Worked across AI domains: Computer Vision, NLP, and LLMs
  • Built AI-assisted laser removal system for treatment guidance
  • Developed AI formula generator for HR SaaS (equations + Excel formulas)
  • Created AI image editor for real estate (LoRA & diffusion models)
  • Built web scrapers for government tenders and social media data
  • Designed, trained, and optimized deep learning models for computer vision tasks (defect detection, object detection, segmentation, tracking, autoencoders, OCR)
  • Built inference pipelines and deployed ML models in PyQt desktop applications
  • Improved model efficiency using quantization and optimization (reduced latency by 50%)
  • Achieved real-time performance with up to 60 FPS inference systems

AI Engineer at Haachi Technologies (2019-05 – 2020-05)

  • Developed a complete ADAS pipeline for Android applications
  • Implemented deep learning for lane detection, obstacle recognition, and driver safety alerts
  • Optimized models for high accuracy and real-time inference performance

Research Assistant at NUST (2018-03 – 2019-05)

  • Contributed to a messaging app by developing new features and fixing bugs
  • Improved app stability and usability through debugging and performance optimization

Junior – Android Developer at TXLabz (2017-02 – 2018-03)

  • Contributed to a messaging app by developing new features and resolving bugs
  • Enhanced app stability and usability through debugging & performance optimization

Teaching Assistant at NUST (2016-01 – 2017-02)

  • Supported teaching in Machine Learning, Computer Vision, and Cloud Computing
  • Mentored undergraduate students on deep learning research projects

Education

Master of Science in Computer Science – National University of Sciences and Technology, Lahore (2018-09 – 2020-06)

Bachelor of Science in Computer Science – National University of Sciences and Technology, Lahore (2014-09 – 2018-07)

Skills

Principal AI Consultant

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