---
title: "Soham Das - Golang Developer in Bengaluru | Tal"
description: "Meet Soham Das, Golang | Blockchain @NPCI based in Bengaluru. AI stack includes kimi. Explore public work links including github."
image: "https://tal.club/meet/soham-das/share-image"
---

# Soham Das on Tal

## Headline

Golang \| Blockchain @NPCI

## About

Software Engineer focused on building scalable, reliable backend systems and high\-impact products\. Experienced in Golang, Python, distributed systems, microservices, databases, and cloud technologies\. Driven by continuous learning, strong engineering fundamentals, and a passion for turning ideas into products at scale\. Feel free to reach out to me here on LinkedIn or at dassoham0801@gmail\.com\.

## Location

Bengaluru

## AI stack

kimi

## Work experience

Golang Developer at Snapper Future Tech, Dec 2025 \- Present · 10 mos, Hyderabad, National Payments Corporation of India \(NPCI\) Software Engineer \| 12/2025 – Present \- Scaled Golang microservices for a production\-grade CBDC platform serving 20\+ banks, NBFCs, and RBI stakeholders; optimized service performance to reduce server load by \~60% while improving system throughput\. \- Improved API latency and database efficiency by eliminating redundant queries, optimizing transactions, and introducing caching strategies\. \- Led key parts of a UTXO\-based architecture refactor, improving scalability and modularity while introducing idempotent transaction processing for safe retries\. \- Optimized batch processing workflows to support bulk execution, reducing processing time for high\-volume operations\. \- Optimized JWT authentication by eliminating redundant per\-request database lookups, reducing authentication overhead and improving API performance\. \- Worked on Hyperledger Fabric integration for secure and auditable blockchain\-based transaction processing\. \- Owned developer onboarding and technical documentation, reducing setup friction and improving team productivity\.

Senior Software Engineer at converj, Jul 2025 \- Dec 2025 · 6 mos, On\-site, \- Backend Lead, working with a team of 10\+ developers \- Making architectural decisions

Software Engineer at converj, Aug 2022 \- Jul 2025 · 3 yrs, On\-site, \- Managed metrics and logs monitoring of the micro\-service architecture \- Full stack development of UI features using React and Golang \- Lead the onboarding and financial reports of clients for banks and PAs\.

Software Developer Internship at converj, May 2022 \- Aug 2022 · 4 mos, Bengaluru, Karnataka, India

Machine Learning Engineer at EntHire, Dec 2020 \- Aug 2021 · 9 mos, San Francisco, California, United States, • Developed and implemented machine learning algorithms to process extensive Job Descriptions \(JD\) and resume data, enhancing the accuracy of the JD\-resume matching recommendation model by an impressive 8\.67%\. • Enhanced the accuracy of skill keyword assessments by working on a sub\-project focused on extracting project description\-based skill keywords from resumes\. • Engineered multiple robust backend APIs using FastAPI, utilizing both MySQL and MongoDB, optimizing data retrieval and storage for enhanced system performance\. • Helped the founders build POCs of numerous experimental ideas, one of which is eventually now a VC backed startup on its own\.

Machine Learning Engineer at PICAL NETWORKS PVT LTD, Jul 2020 \- Oct 2020 · 4 mos, Mumbai, Maharashtra, India, • Engineered an end\-to\-end pipeline, accelerating the wedding photo selection process by 50x compared to traditional methods\. • Integrated advanced face detection algorithms to identify and extract facial features, leveraging them as key elements in the selection criteria for high\-quality wedding photos\. • Implemented color similarity grouping to categorize wedding images into different events, providing an intuitive and user\-friendly experience tailored for the wedding domain • Utilized pixel\-level similarity checks to identify and eliminate duplicate wedding images, streamlining the visual content library\. • Introduced image fingerprinting techniques for enhanced photo recognition and indexing capabilities in the context of wedding events

Machine Learning Intern at CodeSpeedy Technology Private Limited, Jun 2020 \- Sep 2020 · 4 mos

## Education

Bachelor of Technology \- BTech, Computer Science, Netaji Subhash Engineering College 109

Aditya Academy Secondary, Barasat

## Public links

- github: https://github\.com/So\-ham

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

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