---
title: "Ankit Agarwal - Senior Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Ankit Agarwal, Senior Software Engineer | Node.js · TypeScript · AWS · Serverless | Backend & Platform APIs | Microservices, Event-Driven Architecture | GenAI & LLM Integration | Vector Search | Search Infrastructure @ 17M+ queries/mo based in Greater Bengaluru Area. AI stack includes antigrav..."
image: "https://tal.club/meet/ankit-agarwal-7/share-image"
---

# Ankit Agarwal on Tal

## Headline

Senior Software Engineer \| Node\.js · TypeScript · AWS · Serverless \| Backend & Platform APIs \| Microservices, Event\-Driven Architecture \| GenAI & LLM Integration \| Vector Search \| Search Infrastructure @ 17M\+ queries/mo

## About

Senior Software Engineer at National Pen \(Cimpress\), owning the backend platforms behind pens\.com — search infrastructure serving 17M\+ queries/month and an internal asset API at \~78K requests/day\. I also build the LLM and vision\-model integrations that sit on top of them\. What I've built: \- V2 Product Asset Management platform — system of record for every product asset on the site\. Cloudinary as asset store, a structured metadata layer as the query interface, IAM\-scoped writes\. My team owns it; every other product team consumes it\. \- Algolia search architecture and the PLP migration — 529 indices over 622K records\. Earlier cut our Algolia API consumption 50% on weekdays, 70% on weekends by fixing an unthrottled typeahead, batching per\-keystroke lookups, and removing a redundant facet call\. \- An LLM\-based image\-retouching pipeline, built solo and running in production against brand\-consistency rules\. \- BRAIN — an LLM\-orchestrated runtime strategy engine with Qdrant retrieval, using LLMs as a decision layer\. I designed it and took the architecture through Director of Engineering, VP, and Director of Product approval\. \- A vision\-language order\-intake service \(30 min → 2 min per order\), and a Pinecone RAG support chatbot later deployed by our chatbot team\. \- Marketing Cards Platform on Magnolia CMS — slot\-aware campaign cards injected into the product grid, with scheduling and per\-device targeting\. \~1,000 campaigns, no engineer required\. Backend: Node\.js · TypeScript · Java · AWS \(Lambda, API Gateway, SQS, EventBridge, DynamoDB, ElastiCache/Redis, S3, CloudFront, CloudWatch\) · MySQL · Redis · Docker · Microservices · Event\-Driven Architecture · Serverless · REST API Design · System Design · Caching · CI/CD AI & Search: LLM Integration · Generative AI · RAG Pipelines · Vector Search \(Pinecone, Qdrant\) · Vision\-Language Models · Prompt Engineering · Embeddings · Algolia

## Location

Greater Bengaluru Area

## AI stack

antigravity

claude code

claude

cursor

notebooklm

openai

## Work experience

Senior Software Engineer at Cimpress India, Jul 2023 \- Present · 3 yrs 2 mos, Own the V2 Product Asset Management platform \(PAM\) — the system of record for product assets across pens\.com, serving \~78K requests/day to product detail pages, the Algolia PLP sync pipeline, and the recommendations sync pipeline\. Own the Algolia search integration — 17M\+ search requests/month across 529 indices over 622K product records, including index architecture and the batch sync pipelines that keep them current\. Designed and shipped the Marketing Cards Platform on Magnolia CMS: a slot\-aware promotional system injecting three card types into the product grid \(single\-slot, multi\-slot, full\-row banner\) with campaign scheduling and independent desktop/mobile content and visibility rules\. \~1,000 campaigns configured to date with no engineering involvement\. Awarded Cimpress "High Ownership Award"\. Shipped an AI image\-retouching pipeline running in production, processing product imagery against brand\-consistency rules during new\-product onboarding\. Designed "BRAIN", an LLM\-orchestrated runtime strategy engine with Qdrant\-backed retrieval — architecture approved through Director of Engineering, VP, and Director of Product Management\. Stepped in as acting Technical Lead, mentoring engineers and guiding the delivery of scalable e\-commerce solutions\.

Software Engineer at Cimpress India, Aug 2021 \- Jun 2023 · 1 yr 11 mos, Cut Algolia API consumption 50% on weekdays \(700K → 320K daily\) and 70% on weekends \(400K → 120K\), bringing the platform back inside its 125M/year contracted quota\. Three levers: debounced a typeahead firing on every keystroke from the third character; collapsed two per\-keystroke index lookups into one batched multipleQueries call; removed a searchForFacets round\-trip that was redundant under a mandatory filter\. Built a server\-side API layer that moved third\-party credentials off the client, eliminating browser\-side key exposure\. Improved mobile Core Web Vitals: 41% DOM size reduction and 33% Total Blocking Time reduction by deferring third\-party script loading to first user interaction\. Engineered a Retrieval\-Augmented Generation \(RAG\) chatbot to deliver accurate, context\-aware customer support\.

DSC core committee member at Developers Student Club RNSIT, Aug 2020 \- Jul 2021 · 1 yr, Core committee member for the Google Developers Student Club at RNSIT, organising technical events and workshops for the student community\. Presented as a speaker at our web development workshop\.

Founder & Lead \- BigO at Self\-Employed, Aug 2020 \- Jun 2021 · 11 mos, Founded and led BigO, a student coding community at RNSIT focused on data structures and algorithms\. Ran regular coding competitions and peer problem\-solving sessions, growing it into an active community across batches\.

Intern at JPMorgan Chase & Co\., Jun 2020 \- Jun 2020 · 1 mo

## Education

BE \- Bachelor of Engineering, Computer Science, RNS Institute of Technology \- India

## Public links

- medium: https://medium\.com/@ankitagarwal702
- leetcode: https://leetcode\.com/agarwal\-ankit007

[View the original profile](https://tal.club/meet/ankit-agarwal-7)

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