---
title: "Roopansh Sharma - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Roopansh Sharma, Tech Innovator | AI System Architect | Tech @ AiLusion | Scaled Voosh (YC W21) to $1M ARR | Bridging Data x Design x Distribution based in Bengaluru. AI stack includes claude code, cursor, and hugging face."
image: "https://tal.club/meet/roopansh-sharma/share-image"
---

# Roopansh Sharma on Tal

## Headline

Tech Innovator \| AI System Architect \| Tech @ AiLusion \| Scaled Voosh \(YC W21\) to $1M ARR \| Bridging Data x Design x Distribution

## About

I’m Roopansh — a product\-focused engineer and ex\-founder working at the intersection of AI, systems design, and user\-centric product development\. Until recently, I was the Co\-Founder & CTO of AiLusion, where I built end\-to\-end AI cataloging pipelines, virtual try\-on systems, pose/face\-lock workflows, and automated creative tooling for fashion brands\. Our goal was simple: turn time\-consuming manual cataloging into scalable, intelligent automation\. Before that, I helped scale Voosh \(YC W21\) from zero to $1M ARR, leading product and data engineering across real\-time analytics, ordering infrastructure, and engagement systems that moved core business metrics at scale\. Now, I’m exploring new opportunities where I can apply my experience in: \- LLM/RAG systems & agentic workflows \- ML\-driven product features \- Full\-stack engineering \(JS/Python\) & cloud infra \- Building 0→1 systems and scaling them to production \- Leading engineering teams through ambiguity and rapid iteration What drives me is simple: using AI to solve real business problems, create leverage, and build experiences that feel effortless for users\. If you're hiring for AI engineering, product\-focused ML roles, technical leadership, or 0→1 product teams, I’d love to connect\. Let’s build what moves the needle\.

## Location

Bengaluru

## AI stack

claude code

cursor

hugging face

langgraph

obsidian

openai

## Work experience

Senior Software Engineer at Winmore, Feb 2026 \- Present · 7 mo, Remote

Co\-Founder & CTO at AiLusion, Oct 2024 \- Oct 2025 · 1 y, Bengaluru, Karnataka, India, As Co\-Founder and CTO at AiLusion, I’m leading the development of an AI\-first platform designed to transform how fashion brands approach cataloging, content creation, and customer experience\. Our goal is to eliminate inefficiencies in traditional fashion workflows by building intelligent infrastructure that can scale with brand ambition\. I oversee the full product and technology lifecycle \- from model architecture and data pipelines to GTM planning and brand deployment\. At AiLusion, we’re not just building features; we’re creating systems that fundamentally change how fashion content is produced and published\. Key Highlights: \- Architected a complete AI pipeline for fashion cataloging, integrating segmentation, pose transfer, face identity retention, and generative image creation\. \- Automated catalog production, reducing turnaround time from weeks to hours and significantly improving SKU onboarding velocity\. \- Built tools for smart prompt generation, semantic\-aware garment tagging, and realistic virtual try\-on, customized for both Indian and global markets\. \- Launched a unified dashboard to help fashion brands manage AI\-generated assets, streamline workflows, and go to market faster\. \- Led investor outreach and secured ₹3 Cr in soft commitments while driving early brand partnerships and pilot deployments across marketplaces like Myntra and Amazon\. \- Built and led a cross\-functional team across machine learning, backend infrastructure, and creative tooling \- maintaining speed, quality, and cross\-domain alignment\. At its core, AiLusion is a product of my belief that AI should serve creativity, not replace it \- and that the next generation of fashion\-tech will be defined by how intelligently we merge data, design, and automation\.

Product Engineering Specialist at Voosh \(US SaaS Platform\), Nov 2023 \- Oct 2024 · 11 mo, Bangalore, Led backend architecture for analytics and operations platforms used by 300\+ restaurant chains\. Optimized backend services, caching layers, and database queries, reducing request latency from 800ms to 230ms\. Designed data models and services to surface operational and supply\-chain\-related metrics across multi\-location enterprises\. Mentored engineers on backend system design, scalability, and reliability\.

Tech Lead at Voosh \(10\-Minute Food Delivery\), Mar 2022 \- Dec 2023 · 1 y 9 mo, Bangalore, Architected backend systems supporting demand\-supply balancing, rider allocation, routing, and kitchen capacity under low\-latency constraints\. Built services enabling real\-time order orchestration and operational decision\-making\. Collaborated closely with operations teams to translate logistics and fulfillment constraints into robust system designs\.

Product Lead at Voosh, Jan 2022 \- Oct 2024 · 2 yrs 10 mos, Bangalore Urban, Karnataka, India, Product Ecosystems \| API Optimization \| Customer Conversion \- Directed a 10\-member cross\-functional team and collaborated with stakeholders to architect a modular ecosystem \- including self\-ordering, delivery, payments, and POS layers\. \- Propelled Voosh’s growth from zero to $1M ARR in under two years by aligning technical strategy with product\-market fit\. \- Rolled out Voosh’s real\-time dashboard for the US market \- a scalable SaaS solution for restaurant operators and food brands\. \- Mapped and launched an integrated platform connecting Voosh10min \(ordering\), Shipsy \(delivery\), Razorpay \(payments\), and internal menu/POS tools \- scaling to 3,000\+ active users\. \- Expanded architecture to support multi\-restaurant checkouts in a single order flow, simplifying UX and increasing cart size\. \- Deployed and governed relational data systems on Cloud SQL \(MySQL\), optimized for read\-heavy usage at scale\. \- Streamlined data migration through a time\-triggered ETL pipeline from MySQL to BigQuery, enabling high\-volume analytical processing\. \- Curated a suite of business\-critical dashboards in Google Data Studio \- covering ops, delivery, finance, feedback, and NPS \- now used daily by leadership\. \- Partnered with marketing to trigger journey\-specific notifications, lifting menu\-to\-order conversion from 7% to 11\.6%\. \- Refactored SQL queries and tuned backend API responses, slashing average latency from 800ms to 230ms\.

Data Scientist I at Voosh, Sep 2021 \- Feb 2022 · 6 mos, Bangalore Urban, Karnataka, India, Menu Intelligence \| Web Automation \| Ads Optimization \- Spearheaded a cross\-functional data science team to streamline analytics across competing verticals and shifting stakeholder demands\. \- Conceptualized and validated a custom Menu Engineering algorithm using Levenshtein Distance and NLP, delivering 82% accuracy in menu pattern recognition\. \- Synthesized multiple analytical layers \- including competitor mapping, cuisine segmentation, combo logic, and pricing heuristics \- into a single decisioning framework\. \- Architected a distributed ETL system to fetch Swiggy and Zomato data using Selenium, multi\-threading, and parallel job scheduling; deployed to MongoDB for scalable querying\. \- Audited monthly CPC spend and reallocation strategy across 130\+ Swiggy listings \- identified underperformers and drove cost efficiency at scale\.

Data Science Analyst Intern at Voosh, May 2021 \- Sep 2021 · 5 mos, Swiggy Data Integration \| Sentiment Modelling \| Product Analytics \- Engineered a custom ETL workflow that ingests operational and review data from Swiggy, reshapes it into decision\-ready reports, and auto\-feeds into collaborative dashboards\. \- Orchestrated the end\-to\-end training and tuning of a sentiment model on Vertex AI, achieving 74% accuracy for aspect\-level review classification\. \- Uncovered high\-performing food pairings using an Apriori\-driven matrix analysis \- directly influenced new combo launches and increased average order value\.

Data Scientist Trainee at MedTourEasy, Mar 2021 \- Apr 2021 · 2 mos, Healthcare Analytics \| Fitness Data Analysis \| Forecasting \- Gathered and analyzed fitness tracker data to evaluate user health patterns and usage trends\. \- Enhanced forecasting model accuracy by 22% through continuous analysis of physiological data\. \- Pre\-processed and visualized health metrics using statistical and graphical methods to support insights\.

## Education

Bachelor of Technology \- BTech, Information Technology, Government engineering College, Bikaner

Grade 12, Physics, Chemistry, Maths \(PCM\), St\. Anthony's Sr\. Sec\. School

[View the original profile](https://tal.club/meet/roopansh-sharma)

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