Roopansh Sharma
@roopanshsharma
Product-focused AI & data leader driving scalable SaaS and ML systems.
What I'm looking for
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
Co-Founder & CTO
AiLusion
Nov 2024 - Present (1 year)
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.
Product Engineering Lead
Voosh
Jan 2024 - Oct 2024 (9 months)
Owned analytics and ops modules for a US SaaS platform used by 300+ locations, improving API latency from 800ms to 230ms (71% reduction) and increasing pipeline reliability by 40%.
Product & Data Lead
Voosh
Mar 2022 - Dec 2023 (1 year 9 months)
Launched a 10-minute food delivery MVP (POS, routing, payments), scaled to 5,000+ active users and increased menu-to-order conversion from 7% to 11.6% (66% relative increase).
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
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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