---
title: "Mohd Saquib - Software Engineer in Bengaluru | Tal"
description: "Meet Mohd Saquib, Software Engineer @ Lowe’s — Java, Spring Boot, Microservices, Kafka, Azure, AWS and Agentic AI based in Bengaluru. AI stack includes claude code, langchain, and openai. Explore public work links including github, leetcode, and mohammadsaquib.netlify.app."
image: "https://tal.club/meet/mohd-saquib/share-image"
---

# Mohd Saquib on Tal

## Headline

Software Engineer @ Lowe’s — Java, Spring Boot, Microservices, Kafka, Azure, AWS and Agentic AI

## About

Java Backend Specialist \| Enterprise AI & Microservices Engineer 6\+ years of experience engineering high\-scale,event driven, resilient backend platforms across payments, e\-commerce, and retail technology\. Key Achievements & Capabilities: ⚡ Scale & Performance: Built payment & invoicing platforms at Lowe’s handling 1M\+ daily transactions at 99\.9% uptime\. ☕ Java Core: Deep expertise in Java \(8/17/21\), Spring Boot, Spring Data, and Hexagonal Microservice Architectures\. 🤖 Applied GenAI: Production experience deploying Agentic AI systems, RAG pipelines \(LangChain/LangGraph\), and LLM workflows—reducing system response latency by 35% and automating 60% of support flows\. 🌐 Distributed Infrastructure: Kafka event streams, Redis caching, multi\-database architecture \(PostgreSQL, MongoDB, Elasticsearch\), and cloud deployment on Azure/AWS with Kubernetes\. 🌍 Targeting: Senior / Staff / Lead Backend & AI Engineering roles across the globe\.

## Location

Bengaluru

## AI stack

claude code

langchain

openai

windsurf

Devin

Google ADK

## Work experience

Software Engineer at Lowe's India, Feb 2024 \- Present · 2 yrs 8 mos, Bengaluru, • Designed and built AI\-powered backend services for a customer\-facing Order Agent, integrating LLM \+ RAG workflows into core order and payment systems for intelligent, context\-aware automation • Developed orchestration layers and REST APIs to connect the AI agent with Order Management, Payment, and Fulfillment microservices, enabling real\-time decisioning and seamless fallback to human support • Built and scaled production\-grade AI agent workflows interacting with distributed microservices, bridging GenAI systems with real\-world transaction processing • Engineered high\-throughput payment and invoicing microservices in Java, supporting 20,000\+ daily online orders in a mission\-critical retail environment • Implemented resilient payment features \(Partial Pay, Circuit Breaker\) using Spring Boot and Kafka, reducing payment failures by 25% and improving system stability • Designed event\-driven architecture \(Kafka\) for authorization, charge, settlement, and invoicing workflows, improving transaction processing speed by 30% • Optimized system performance and reliability using multithreading, efficient database interactions \(Oracle\), and fault\-tolerant design patterns, ensuring 99\.9% uptime during peak events \(BFCM\) • Built observability and monitoring \(Grafana, logging, metrics\) to track order volumes \(\~6,000 orders / $4M revenue\), enabling data\-driven scaling and proactive issue resolution

Software Engineer at Sasken Technologies Limited, Oct 2022 \- Feb 2024 · 1 yr 5 mos, Bengaluru, Karnataka, India, • Developed Dealer Service Portal enabling subscription\-based machine access for dealers • Designed and built RESTful APIs using Java 8 and Spring Boot to support portal functionalities • Implemented backend services with microservices architecture, ensuring scalability and modular design • Integrated SQL databases using Hibernate for efficient data storage, retrieval, and ORM management • Secured application using HTTPS, implementing authentication and authorization mechanisms • Wrote unit tests using JUnit to ensure code quality and reliability • Collaborated with cross\-functional teams \(product, QA, frontend\) to deliver features aligned with business requirements • Followed Agile methodology for development, tracking progress and documentation • Troubleshot and resolved complex production issues, ensuring system stability and performance • Continuously improved codebase by adopting modern Java best practices and design patterns

Software Engineer at Cognizant, Oct 2020 \- Oct 2022 · 2 yrs 1 mo, Bangalore Urban, Karnataka, India, • Working as Full Stack Java Developer to develop, modify, debug software code according to functional or technical design specifications following agile methodologies\. • Following software engineering standards, release processes, to ensure code is maintainable, scalable, and supportable, and demo the software products to stakeholders\. • Investigating issues by reviewing/debugging code, provide fixes and workarounds, and review changes for operability to maintain existing software solutions\. • Working within a team, collaborate and add value through participation in peer code reviews, provide comments and suggestions, and work with cross functional teams to achieve goals\.

Intern at Datum Guy, Jun 2019 \- Nov 2019 · 6 mos, Noida Area, India, Curated Machine Learning Content in the form of blogs, concept description with python code\.

## Education

Bachelor of Technology, Electronics and instrumentation, GALGOTIA S COLLEGE OF ENGINEERING AND TECHNOLOGY, GREATER NOIDA

## Public links

- github: https://github\.com/mohdsaquib98
- leetcode: https://leetcode\.com/mohdsaquib98
- mohammadsaquib\.netlify\.app: https://mohammadsaquib\.netlify\.app/

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

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