---
title: "Devansh Jain - SDE-1 in Mumbai | Tal"
description: "Meet Devansh Jain, SDE-1 @ Dream11 | Mathematics & Scientific Computing, Machine Learning based in Mumbai. AI stack includes opencode and claudecode."
image: "https://tal.club/meet/devansh-jain-1/share-image"
---

# Devansh Jain on Tal

## Headline

SDE\-1 @ Dream11 \| Mathematics & Scientific Computing, Machine Learning

## About

Full\-stack engineer working across native iOS, react native SDKs, Vert\.x backends, and React dashboards\. I worked on observability and engagement platforms at scale — from instrumenting telemetry on\-device to aggregating millions of events in ClickHouse\. Strong mathematical foundation from IIT Kanpur, with hands\-on ML and distributed\-systems experience\.

## Location

Mumbai

## AI stack

opencode

claudecode

## Work experience

SDE\-1 at Dream11, Jul 2025 \- Present · 1 yr 2 mos, Mumbai, Maharashtra, India, Pulse — Mobile Observability Platform •Built core PulseKit iOS SDK features in Swift/OpenTelemetry — session replay, heatmaps, crash detection — now live at 250K\+ DAU ingesting 20M\+ events/day\. •Designed a Kafka → ClickHouse pipeline that pre\-aggregates millions of tap events into daily heatmap bins\. •Shipped an AI diagnostics dashboard \(React \+ Gemini\) that ranks 9 issue types by user impact and writes root\-cause narratives\. Raven — Customer Engagement Platform •Built a server\-driven UI engine in React Native that renders tooltips, popups, and bottom sheets from backend rules — no app release needed\. •Designed a state\-machine DSL \(Vert\.x \+ Aerospike\) to model user journeys with frequency capping and event\-based triggers\. •Added multi\-tenant OAuth 2\.0/OIDC with PKCE and passwordless OTP across SDK endpoints\. Shipped to Dream11's 15M\+ DAU app; first rollout drove 10K\+ monthly engaged users\.

Data Science Intern at neurIOT Labs, May 2024 \- Jul 2024 · 3 mos, Gurugram, Haryana, India, • Developed summarization techniques for doctors’ tweets, enhancing the communication of medical information\. • Built an NLP pipeline to process and summarize over 10,000 medical tweets, extracting key insights\. • Achieved 90\.4% prediction accuracy in a disease prediction model using semantic analysis of patient descriptions\.

Research Assistant at Indian Institute of Technology, Kanpur, May 2024 \- Jul 2024 · 3 mos, Kanpur, Uttar Pradesh, India, 𝐌𝐞𝐧𝐭𝐨𝐫: Professor Raghvi Garg \(Department of Economics, IIT Kanpur\) • Conducted in\-depth investigations into decision\-making patterns to identify strategic behavioral differences\. • Utilized the Kolmogorov\-Smirnov test to enhance statistical robustness and improve decision accuracy\. • Analyzed over 4,500 data points, achieving 80% accuracy in predicting behavioral responses\.

## Education

Mathematics & scientific computing, Minor:\- Machine Learning, Indian Institute of Technology, Kanpur

[View the original profile](https://tal.club/meet/devansh-jain-1)

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