---
title: "Abhishek Paul - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Abhishek Paul, Senior Software Engineer @ Wells Fargo | ML Research Intern @ IITBHU | AI, Machine Learning & Full Stack Development (Python, Java(a bit), React) to Delivery (CI/CD) based in Bengaluru. AI stack includes claude code, codex, and Microsoft Copilot. Explore public work links includ..."
image: "https://tal.club/meet/abhishek-paul-2/share-image"
---

# Abhishek Paul on Tal

## Headline

Senior Software Engineer @ Wells Fargo \| ML Research Intern @ IITBHU \| AI, Machine Learning & Full Stack Development \(Python, Java\(a bit\), React\) to Delivery \(CI/CD\)

## About

I’ve always liked understanding how things work and then making them work better\. Engineering gives me that space to take a messy problem, break it down logically, and build something reliable out of it\. I enjoy thinking in systems, designing clean flows and owning outcomes end to end\. At Wells Fargo, I’ve built GenAI\-driven compliance automation platforms, real\-time data pipelines and predictive APIs that reduced manual effort and delivered measurable cost savings\. Most of my work sits in backend\-heavy systems, production\-ready services and dashboards that teams depend on daily\. I spend a lot of time working with Python, API design and distributed systems\. I care about writing clean, maintainable code, shipping stable releases with Docker and CI/CD and designing systems that can scale\. I aim to be an engineer who is both technically sound and, most importantly, consistently Reliable\.

## Location

Bengaluru

## AI stack

claude code

codex

Microsoft Copilot

## Work experience

Senior Software Engineer at Wells Fargo, Feb 2026 \- Present · 7 mos, Bengaluru, Karnataka, India, • Developed Python microservices to ingest and validate data from DB, NAS drives, and email sources, reducing manual reporting effort by 99%\. • Built a React, Django, and REST API notification platform, reducing stakeholder coordination effort across 5\+ workflows by 85%\. • Designed Oracle DB schemas with RBAC and audit trails, reducing compliance audit preparation time by 70%\. • Engineered fault tolerant microservices using rate limiting, bulkhead, retry with exponential backoff, and circuit breaker patterns to isolate downstream failures\. • Integrated AI\-generated metrics summaries into reporting applications, automating engineering and compliance insights\. • Containerised and deployed 8\+ services on OpenShift through Harness CI/CD, reducing production incidents by 75%\.

Software Engineer at Wells Fargo, Jul 2023 \- Feb 2026 · 2 yrs 8 mos, Bengaluru, Karnataka, India, • Built a GenAI\-powered SDLC validation platform \(RAG system\) integrating LLM, Jira and ServiceNow APIs, pulling additional data from DB, all efficiently\. • Built an LSTM\-based predictive maintenance API for log anomaly detection, reducing backend service downtime by around 45%\. • Developed Python\-React monitoring dashboards and alerting pipelines, reducing manual reporting effort by 90% across 10\+ production services\. • Delivered 10\+ automation features annually for compliance validation, evidence collection, and control workflows, improving engineering productivity\.

Program Associate Intern at Wells Fargo, May 2022 \- Jul 2022 · 3 mos, Bengaluru, Karnataka, India

Research Intern at Indian Institute of Technology \(Banaras Hindu University\), Varanasi, May 2021 \- Jul 2021 · 3 mos, Varanasi, Uttar Pradesh, India, Gait Recognition in Occlusion and Human Re\-Identification\.

## Education

Bachelor of Technology \- BTech, Electronics and Communications Engineering, National Institute of Technology Durgapur

Higher Secondary Education, Science, Delhi Public School, Siliguri

## Public links

- github: https://github\.com/abhishekpawl
- leetcode: https://leetcode\.com/pawllaaa

[View the original profile](https://tal.club/meet/abhishek-paul-2)

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