---
title: "Dheer Varyani - software development engineer 2 in Bengaluru | Tal"
description: "Meet Dheer Varyani, Software Engineer II @ Swiggy | Backend Systems · Distributed Systems · Java & Go | Ex-Meesho,Cropin · IIIT Bangalore based in Bengaluru. AI stack includes cursor and opencode. Explore public work links including github."
image: "https://tal.club/meet/dheer-varyani/share-image"
---

# Dheer Varyani on Tal

## Headline

Software Engineer II @ Swiggy \| Backend Systems · Distributed Systems · Java & Go \| Ex\-Meesho,Cropin · IIIT Bangalore

## About

Senior Backend Engineer with 3\+ years building high\-throughput distributed systems in Java and Go\. At Meesho, I work on the logistics platform that powers 80 lakh\+ daily shipments — designing data models, caching architectures, and Kafka pipelines that serve sub\-30ms SLAs across billions of records\. Recent work includes redesigning a 1\-billion\-document MongoDB collection down to 1 million \(1000× reduction\), and building a custom 64\-bit packed binary Redis encoder that cut cache memory by 12\.5× — saving 69 GB across 21M keys\. Previously at Cropin, I revamped 7 production APIs to scale 10× and built a custom attribute system for 60K farmers per tenant using ElasticSearch, Redis, and Kafka\. Interests: data modelling, caching strategy, system design, API design, and the messy real\-world tradeoffs in scaling backend systems\. M\.Tech in CS, IIIT Bangalore \(GATE CS 2021 — AIR 426, 99\.58 percentile\)\. Tech: Java · Go · Spring Boot · MongoDB · Redis · Kafka · Protobuf · PostgreSQL · ElasticSearch · AWS · Docker

## Location

Bengaluru

## AI stack

cursor

opencode

## Work experience

software development engineer 2 at Swiggy, Jul 2026 \- Present · 2 mos, Bengaluru

Software Engineer\-2 at Meesho, Dec 2025 \- Jul 2026 · 8 mos, RTO Prediction & Carrier Allocation Engine — Redesigned MongoDB data model from 1 billion flat documents to 1 million hierarchical \(1000× reduction\); built a custom 64\-bit packed binary Redis encoder storing 6 fields in 8 bytes \(vs \~100\-byte JSON\) — 12\.5× memory reduction, saving 69 GB across 21M cache keys\. RTO Data Pipeline — Designed Kafka consumer with main → retry → DLQ pattern, batch MongoDB upserts, and async Redis warm\-up; 3\-tier cache\-first fetch \(Redis → MongoDB\) with 30ms SLA; integrated RTO rate and SubOCF as enrichment signals into carrier ranking and filtering\. Mentorship & On\-Call — Mentor 4 SDE\-1 engineers on distributed systems design and caching patterns; lead on\-call response for critical production issues including zone cron master/slave misconfiguration \(order loss\), COD serviceability regression, and ShipMatrix CPU starvation\.

Software Engineer\-1 at Meesho, Sep 2024 \- Dec 2025 · 1 yr 4 mos, Bengaluru, Pin\-to\-Pin Zone Mapping — Overhauled PDD \(Promised Date of Delivery\) computation to leverage granular pin\-level data — ₹0\.40 CPDO improvement per order\. Scalable Cron Pipeline — Processed 22\.5 billion records across 25K × 25K pincode pairs, 6 carriers, 3 account types, 2 payment modes; scaled zone definitions from 25 to 25,000; drove end\-to\-end ownership including sale\-event scaling based on traffic prediction\. Cache Optimisation & Capacity Migration — Redesigned cache key structure, improving hit rate from 40% to 80%\+ and cutting monthly Redis spend by $1,000; migrated 23\.6B capacity keys via dual\-write strategy with zero downtime\. ShipMatrix — Candidate Generation Service \(Go\) — End\-to\-end ownership of production system for candidate generation, promise computation, and capacity management; architected MongoDB \+ Redis \(protobuf\) data flow with 7\+ write paths and resilient concurrency design\.

Software Engineer at Cropin, Jun 2023 \- Oct 2024 · 1 yr 5 mos, Bengaluru, Revamped 7 production APIs scaling data\-handling capacity 10× \(3K → 30K records\) and reducing response time from 30s to under 2s; collaborated cross\-functionally with product and data teams on technical design and delivery\. Built custom attribute system supporting 60K farmers/assets per tenant with sub\-2s filtering and full\-text search using ElasticSearch, Redis, a

Intern at Cropin, Jan 2023 \- Jun 2023 · 6 mos, On\-site, Contributed to backend feature development on Spring Boot services; converted to full\-time SDE\-1 in June 2023\.

## Education

Master of Technology \- MTech, Computer Science, International Institute of Information Technology Bangalore

Bachelor of Technology \- BTech, Computer Engineering, SILVER OAK COLLEGE OF ENGG\., & TECH\., AHMEDABAD 077

## Public links

- github: https://github\.com/dheer009

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

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