---
title: "Samiran Kundu - Senior Software Engineer, Machine learning in Bengaluru | Tal"
description: "Meet Samiran Kundu, ML/DS @ Roku based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/samiran-kundu-1/share-image"
---

# Samiran Kundu on Tal

## Headline

ML/DS @ Roku

## About

Staff Data Scientist with 8\+ years of experience in applied ML, optimisation, NLP, deep leaning and causal inference\. Proven track record in building large\-scale credit risk, payments, and automation systems at CRED and Samsung\. Adept at converting complex business problems into scalable, production\-ready solutions\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

codex

openai

## Work experience

Senior Software Engineer, Machine learning at Roku, Jul 2026 \- Present · 4 mos, Bengaluru, Karnataka, India, ML and DS for Roku Pay \(RPAY\); Payment routing, Subscriptions, Fraud and others

Staff Data Scientist at CRED, Dec 2024 \- Jun 2026 · 1 yr 7 mos, Handled ML/DS initiatives for Payments, Lending and Data enrichments; Offer management and Pricing for Lending \- CRED worked as a LSP and had integration with more than 6 partners which have 10\+ partner policies actively running \- Architected pricing and offer allocation for all CRED members using optimization with dynamic offer visibility rules to manage risk and also keeping an eye for incremental disbursals \- Improved \~3% incremental disbursals with ₹1\.5 Cr\+/month in incremental revenue with zero OPS dependency Tech stack: Optimization \(LP/MILP/Non\-linear; Gurobi, DEAP\), Spark, Databricks, AWS Batch Alternate Bureau for realtime underwriting \- Mined financial signals from SMS, Email, UPI, and NPCI data to build alternate bureau that provides >90% accurate information \(matches with bureau\) for \~60% of available users\. Used that to cut overall NPA by \~8% \- TAT \(Turn around time\) for getting the information reduced from \~30\-60 days to <1 day Tech Stack: SQS, NER, SpaCy, transformers, Docker

Lead Data Scientist at CRED, Dec 2022 \- Dec 2024 · 2 yrs 1 mo, Handled ML/DS for Bill and rent payments; BBPS Automation \- Architected and built auto\-scraping and event\-driven reminder pipelines basis of which CRED can show bills and remind them automatically without user intervention; \- Handled scale of 60M events/day in a realtime process along with proper monitoring for data correctness and latency \- \~60% of all payments happens through accounts created through our system\. Generating \~₹70L\+/month MDR revenue and our reminder logic helps in cutting fetch costs from ₹1 Cr to ₹55L/month with no degradation of user payments Tech Stack: Python, Spacy, CatBoost, AWS SQS, Lambda, Airflow, Docker, LLM Agents

Senior Data Scientist at CRED, Dec 2021 \- Nov 2022 · 1 yr

Lead Engineer at Samsung Electronics, Mar 2019 \- Dec 2019 · 10 mos, Bengaluru Area, India, \- Handling schedule recommendation task for different DA devices end to end from data preparation to modelling Tools used\- Spark for Data preparation, Ensemble Methods for modelling of users

Senior Software Engineer at Samsung Electronics, Jul 2017 \- Feb 2019 · 1 yr 8 mos, Bengaluru Area, India, \- Working in IoT domain as a Machine learning model developer for different predictive requirements \- Developing skills in Spark along with other Big Data tools that is required for data preparation and modelling

## Education

Master's degree, Statistics, Indian Statistical Institute, Kolkata

Bachelor's degree, Statistics, University of Calcutta

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

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