---
title: "AYUSH DUBEY - Software Development Engineer 1 in Bengaluru | Tal"
description: "Meet AYUSH DUBEY, SDE @IBM ISL | Ex SDE-Intern @IBM | Ex-AIML Intern @Bosch | BMSCE(AI&ML) based in Bengaluru. AI stack includes claude code, claude, and codex."
image: "https://tal.club/meet/ayush-kumar-dubey/share-image"
---

# AYUSH DUBEY on Tal

## Headline

SDE @IBM ISL \| Ex SDE\-Intern @IBM \| Ex\-AIML Intern @Bosch \| BMSCE\(AI&ML\)

## About

Passionate about leveraging technology to solve complex problems at the intersection of finance, mathematics, and AI\. Skilled in programming, machine learning, data analysis, and financial modeling, with experience in time\-series forecasting, web development, and AI\-driven solutions\. Interested in fintech, quantitative strategies, and creating innovative solutions that merge data and technology for real\-world impact\. Always eager to learn, collaborate, and drive meaningful change\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

deepmind

## Work experience

Software Development Engineer 1 at Amazon, Apr 2026 \- Present · 7 mo, Bengaluru

Software Developer at IBM, Jul 2025 \- Apr 2026 · 9 mo, Bengaluru, Built and maintained EaseJ microservices and its BCDR subsystem across AWS and IBM Cloud using Go, Java, Terraform, CloudFormation, Python, and Shell — integrating S3 \(cross\-region replication\), Redis \(cache \+ state with snapshot recovery\), Secrets Manager, IAM \(least\-privilege\), Lambda \(event\-driven automation \+ failover orchestration\), SNS \(alerting/fan\-out\), and CloudWatch \(metrics, logs, alarms\) to meet defined RPO/RTO targets\.

Software Developer at IBM, Jan 2025 \- Jul 2025 · 7 mos, Built a RAG \+ LLM pipeline over historical Java dump artifacts \(heap, thread, core, GC logs\) and incident knowledge bases to automate root\-cause analysis and cut L3 support load, while partnering with the JCL team on Java and MBCS modules for encoding\-correct mainframe ↔ distributed data exchange\.

Project Intern at Bosch India, Aug 2024 \- Sep 2024 · 2 mos, Bengaluru, Karnataka, India, Developed computer vision pipelines for Bosch’s industrial inspection systems, including CNN\-based Deep OCR models \(CRNN \+ CTC loss for variable\-length character sequence recognition\) and Gaussian Mixture Model classifiers for probabilistic defect/anomaly detection on manufacturing lines\.

Placement Coordinator at B\. M\. S\. College of Engineering, Oct 2023 \- Aug 2024 · 11 mos, India, Supported the Training & Placement Cell with end\-to\-end logistics for on\-campus recruitment drives — venue setup, scheduling, attendance tracking, and coordination between company representatives and student cohorts\.

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and Machine Learning, B\. M\. S\. College of Engineering

Science, Netaji Subhas Public School

[View the original profile](https://tal.club/meet/ayush-kumar-dubey)

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