---
title: "Aarush Vinay - Software Engineer in Bengaluru | Tal"
description: "Meet Aarush Vinay, SDE I at CoinSwitch | Ex-Research Intern at Centre for Visual Information Technology,IIIT Hyderabad | Golang Based Backend Systems | Multimodal AI Model Research | based in Bengaluru. AI stack includes claude code, cursor, and llava."
image: "https://tal.club/meet/aarush-vinay/share-image"
---

# Aarush Vinay on Tal

## Headline

SDE I at CoinSwitch \| Ex\-Research Intern at Centre for Visual Information Technology,IIIT Hyderabad \| Golang Based Backend Systems \| Multimodal AI Model Research \|

## Location

Bengaluru

## AI stack

claude code

cursor

llava

ollama

ChatGPT

GroqCloud

## Work experience

Software Engineer at CoinSwitch, Jul 2026 \- Present · 3 mos, Greater Bengaluru Area

SDE Intern at CoinSwitch, Jan 2026 \- Jun 2026 · 6 mos, Bangalore Urban, • Engineered high\-throughput REST APIs in Go for Bolt and Smart Invest, two products comprising a sizeable chunk of company revenue, serving real\-time frontend consumption at scale • Architected a real\-time market data ingestion and signal generation framework for Nifty/Sensex indices; extended the framework to support underlying\-based, derivative\-based, and SEBI\-registered RA strategies • Implemented end\-to\-end distributed observability from the ground up using OpenTelemetry \(OTel\), New Relic, and Last9, enabling full\-stack tracing, metrics collection, and alerting across microservices • Developed on\-call operational APIs and integrated Kibana and Redash dashboards for real\-time monitoring and incident response workflows • Optimized high\-latency API endpoints via Redis caching strategies and PostgreSQL query tuning; contributed to Lemonn’s 10x user\-scale growth through systemic performance improvements across Go microservices • Deployed and managed containerized services on AWS using Docker and Kubernetes, maintaining high availability and horizontal scalability

Research Intern at Centre for Visual Information Technology \(CVIT\), Jun 2025 \- Jan 2026 · 8 mos, • Designed a multimodal pipeline for scene text captioning to enhance evaluation of Vision\-Language Models \(VLMs\)\. • Applied YOLO and OCR systems to effectively align visual and textual information in video datasets\. • Assisted in building scalable, annotated datasets for fine\-tuning and benchmarking VLMs at the Centre for Visual Information Technology \(CVIT\)\.

Treasurer/Club Head at IEEE Computer Society PES University, Jan 2025 \- Dec 2025 · 1 yr

## Education

Bachelor of Technology \- BTech, Computer Science, PES University

Allen

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

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