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@jitendersinghvirk
AI-focused CTO building medical imaging and LLM-driven clinical workflows that improve radiology reporting efficiency.
I am an AI leader and engineer who builds production-grade medical imaging and LLM-driven clinical workflows. As CTO at an early-stage startup, I designed and deployed a scan-to-report radiology pipeline that reduced reporting time by 45–50%, developed a CDSCO-regulated 3D CT pulmonary nodule detection system with strong performance metrics, filed a patent, and led a cross-functional R&D team while contributing to multiple RSNA/ECR/ERS abstracts.
My research background spans medical imaging, VQA, and risk prediction from clinical data, with published work and open-source projects demonstrating practical, efficient models. I hold an M.E. in AI/ML (gold medalist) and I am passionate about delivering regulated healthcare AI, LLM-enabled clinical tools, and scalable MLOps for measurable clinical impact.
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Work history, roles, and key accomplishments
Indian Institute of Technology Ropar
Aug 2018 - Feb 2019 (6 months)
Developed computer-vision Android apps including a Garuda background-danger detection app that achieved 89% accuracy with ~300ms per-frame inference, and an automatic collage maker in collaboration with Samsung India.
Degrees, certifications, and relevant coursework
Master of Engineering, Computer Science and Engineering (Artificial Intelligence & Machine Learning)
2020 - 2022
Grade: 9.11/10.0
Activities and societies: Gold medalist for outstanding academic achievement; Dissertation: Medical Visual Question Answering and Generation; Graduate semester project: Molecular Chemical Images to Text Translation.
Completed M.E. in Computer Science and Engineering with specialization in Artificial Intelligence & Machine Learning, graduating with a CGPA of 9.11/10 and awarded a gold medal. Dissertation focused on Medical Visual Question Answering and Generation.
Bachelor of Technology, Computer Science and Engineering
2013 - 2017
Grade: 7.24/10.0
Activities and societies: Dissertation: Real-time Twitter Sentiment Analysis with Big Data and Hadoop; Undergrad projects: Teacher Review System, Home Automation System.
Completed Bachelor of Technology in Computer Science and Engineering with a CGPA of 7.24/10. Dissertation on Real-time Twitter Sentiment Analysis using Big Data and the Hadoop ecosystem.
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