---
title: "Yug Sinha - AI Engineer in Bengaluru | Tal"
description: "Meet Yug Sinha, AI Engineer at GeoIQ-Lenskart | Distributed Systems | Voice AI Agents | Backend Engineer based in Bengaluru. AI stack includes codex, opencode, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/yug-sinha/share-image"
---

# Yug Sinha on Tal

## Headline

AI Engineer at GeoIQ\-Lenskart \| Distributed Systems \| Voice AI Agents \| Backend Engineer

## Location

Bengaluru

## AI stack

codex

opencode

claudecode

## Work experience

AI Engineer at GeoIQ, Jan 2026 \- Present · 8 mos, Bangalore Urban, \- Worked on Voice AI Stylist with sub\-second responses, handling all edge cases and user queries to handle users at scale\. – Architected low\-latency data layer across MongoDB, Redis, Qdrant, and APIs, powering fast image\-based semantic product retrieval and personalized ranking – Implemented FalkorDB \(Redis based Graph VectorDB\) agent memory pipeline with <200ms writes and <10ms reads, enabling real\-time context persistence and ultra\-fast conversational recall\. – Architected retail assistance, a live powered agentic shopping assistant with intent routed tool capabilities and structured widget types published over a real\-time data channel – Average response time being 1s along with selectable widget publishing capability, deeplink navigation across iOS, Android, Mobilesite clients – Architected multistore persistence layer, MongoDB for session snapshots and chat history, Qdrant for vector search, and in memory state store achieving sub 100ms turn latency for all non\-LLM operations\.

SDE 1 at Skypoint, Jul 2025 \- Jan 2026 · 7 mos, Bangalore Urban, \- Built a Load Balancer for rerouting multiple databricks user requests into multiple workspaces to increase DAU handling at peak traffic times – Worked on Langchain, AzureOpenAI Server, implemented Azure AI search for Unstructured Data, worked on Txt to SQL model for Structured Data retrievel for client specific solutions\. – Created an end to end to RAG Pipeline in databricks to pull from a digital library of over 1TB of documents and to ingest in a Datastax vector tables for RAG Chatbot\.

AI Intern at Skypoint, Dec 2024 \- Jun 2025 · 7 mos, Bengaluru, Karnataka, India

AI Intern at Krutrim, Aug 2023 \- Dec 2023 · 5 mos, Fine\-tuned models for industry\-specific use cases, reducing bias and errors, and deploying large\-scale Al models\. – Collaborated with cross\-functional teams, incorporating user feedback into platform improvements\.

## Education

Bachelor of Technology, Computer Engineering, Vellore Institute of Technology

## Public links

- github: https://github\.com/yug\-sinha

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

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