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Roopansh SharmaRS
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Roopansh Sharma

@roopanshsharma

Product-focused AI & data leader driving scalable SaaS and ML systems.

India
Message

What I'm looking for

I seek product- and metrics-driven roles where I can lead AI/data engineering teams, ship scalable SaaS products, and drive measurable business impact through ML and operational excellence.

I am a product-focused AI and data leader with deep experience building scalable SaaS platforms, multi-model generative AI pipelines, and data & MLOps infrastructure. I have led cross-functional teams, shipped self-serve dashboards, and operationalized GTM to onboard international clients while optimizing backend systems for high concurrency and cost control.

My work has produced measurable business impact: catalog production time cut 90%, API latency reduced 71%, platforms supporting a $1M ARR run-rate, and conversion lifts through integrated product and data efforts. I prioritize pragmatic engineering, observability, and metrics-driven product decisions to deliver faster launches and higher retention.

Experience

Work history, roles, and key accomplishments

AI
Current

Co-Founder & CTO

AiLusion

Nov 2024 - Present (1 year 7 months)

Architected multi-model generative AI pipelines for fashion catalog automation, reducing content TAT from 3 weeks to 12 hours (90% faster) and onboarding 20+ clients across India and Singapore.

VO

Data Scientist

Voosh

Sep 2021 - Mar 2022 (6 months)

Developed a menu-engineering model with 82% accuracy, automated ETL for 1M+ weekly records into MongoDB, and optimized marketplace visibility and CPC across 130+ listings.

Education

Degrees, certifications, and relevant coursework

Rajasthan Technical University logoRU

Rajasthan Technical University

Bachelor of Technology, Information Technology

2017 - 2021

Activities and societies: Invited Speaker at IISF 2017 (oral presentation on data applications in science).

Completed a Bachelor of Technology in Information Technology with coursework and projects focused on data engineering and applied machine learning.

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