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Pranav Parab

Product Engg, Software and Platform Engg @LSEG | Ex-Engineering / Gen AI Intern @Altysys Tech | Ex-Machine Learning Developer at Samsung PRISM | Microsoft certified | Published Research Co-Author | Patent Co-Inventor

Mumbai

1+ year of work experience

LSEG
Aug 20261 moPresent

Banglore

Handled real-time trade operations and production systems, ensuring smooth execution of trading workflows, monitoring system performance, troubleshooting issues, and coordinating with technology and operations teams to maintain platform reliability.
Altysys
Dec 20257 mosJun 2026

Developed an AI-driven Healthcare Analytics and Medical Intelligence System during my internship at Altysys Tech Pvt. Ltd., integrating medical report analysis, intelligent summarization, and disease risk prediction into a unified platform. Leveraging Generative AI, NLP, and machine learning, the system was designed to simplify complex medical reports, analyze patient symptoms and historical health data, and generate predictive insights for early disease identification. This project focused on advancing preventive healthcare through smarter decision-making and AI-powered patient support.
Samsung R&D Institute India - Bangalore
Dec 202310 mosSep 2024

Developed an advanced Audio-Visual Source Separation and Localization model leveraging Generative AI to intelligently isolate and identify multiple sound sources within complex environments by combining audio and visual inputs. Built and deployed a real-time web-based implementation using Streamlit, enabling seamless live audio-visual analysis through an interactive interface. This work also led to the publication of a research paper, highlighting its innovation and contribution to the field of AI-driven multimedia analysis.

Pranav’s AI Stack

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Education

Vellore Institute of Technology

B.tech, Computer Science

Vellore Institute of Technology

20224 yrs2026

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Headline

Product Engg, Software and Platform Engg @LSEG | Ex-Engineering / Gen AI Intern @Altysys Tech | Ex-Machine Learning Developer at Samsung PRISM | Microsoft certified | Published Research Co-Author | Patent Co-Inventor

About

Final-year Computer Science undergraduate at VIT Chennai with hands-on experience across Generative AI, Machine Learning, healthcare intelligence, and multimedia research. Currently working as an Engineering / Generative AI Intern at Altysys Tech Pvt. Ltd., building AI-powered healthcare analytics systems focused on medical intelligence, predictive healthcare, and patient-centric innovation. Previously contributed as a Research Intern at Samsung PRISM, where I developed an advanced Audio-Visual Source Separation and Localization model using Generative AI, leading to a published research paper. Incoming Engineering Graduate Associate at LSEG with a strong foundation in software engineering, AI deployment, and real-world product development. Microsoft Certified Azure AI Engineer Associate, published research co-author, and patent co-inventor, passionate about building impactful AI systems that bridge research, engineering, and scalable innovation.

Location

Mumbai

AI stack

claude code

glama

hugging face

Work experience

Software and Platform Engineer at LSEG, Aug 2026 - Present · 1 mo, Banglore, Handled real-time trade operations and production systems, ensuring smooth execution of trading workflows, monitoring system performance, troubleshooting issues, and coordinating with technology and operations teams to maintain platform reliability.

Engineering / Generative AI Intern at Altysys, Dec 2025 - Jun 2026 · 7 mos, Developed an AI-driven Healthcare Analytics and Medical Intelligence System during my internship at Altysys Tech Pvt. Ltd., integrating medical report analysis, intelligent summarization, and disease risk prediction into a unified platform. Leveraging Generative AI, NLP, and machine learning, the system was designed to simplify complex medical reports, analyze patient symptoms and historical health data, and generate predictive insights for early disease identification. This project focused on advancing preventive healthcare through smarter decision-making and AI-powered patient support.

Research Intern at Samsung R&D Institute India - Bangalore, Dec 2023 - Sep 2024 · 10 mos, Developed an advanced Audio-Visual Source Separation and Localization model leveraging Generative AI to intelligently isolate and identify multiple sound sources within complex environments by combining audio and visual inputs. Built and deployed a real-time web-based implementation using Streamlit, enabling seamless live audio-visual analysis through an interactive interface. This work also led to the publication of a research paper, highlighting its innovation and contribution to the field of AI-driven multimedia analysis.

Education

B.tech, Computer Science, Vellore Institute of Technology