---
title: "Mohammad Rabbani - Software Engineer in Bengaluru | Tal"
description: "Meet Mohammad Rabbani, Backend Engineer | AI integrations | AI Engineering | Agentic AI | Distributed Systems | Python | Java based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/mohummad-rabbani/share-image"
---

# Mohammad Rabbani on Tal

## Headline

Backend Engineer \| AI integrations \| AI Engineering \| Agentic AI \| Distributed Systems \| Python \| Java

## About

I am a Software Engineer with over 8 years of experience building highly resilient distributed systems, specializing in the intersection of massive\-scale backend architecture and production\-grade Artificial Intelligence\. My foundation is in engineering fault\-tolerant, event\-driven microservices for the fintech and e\-commerce sectors, currently orchestrating platforms capable of handling 15\+ million daily transactions with 99\.99% availability\. Building on this, my recent focus has expanded deep into AI Engineering\. I have architected and deployed advanced autonomous AI agents and Retrieval\-Augmented Generation \(RAG\) applications into production\. I don't just build proof\-of\-concept AI; I engineer scalable, agentic workflows using frameworks like LangGraph and CrewAI, backed by robust vector databases \(like pgvector\)\. I specialize in bridging the gap between intelligent search retrieval, and high\-throughput backend services—ensuring AI features are fast, reliable, and deeply integrated into core platforms\. Currently, I balance hands\-on architecture with engineering management\. I am passionate about mentoring teams, facilitating agile delivery, and enforcing strict code quality standards to ensure we build intelligent software that is both highly scalable and maintainable\. What I do best Deep expertise in advanced search retrieval, LangGraph/LangChain orchestration, and multi\-agent workflows\. Utilizes a strong foundation in backendn engineering , LLM integrations\(OpenAI, Gemini,Anthropic\) and Generative AI to deliver robust, high\-throughput software\. AI Engineering & Agentic Systems: Designing and deploying scalable RAG pipelines, semantic search retrieval systems, and autonomous AI agents in production environments\. System Architecture: Designing event\-driven microservices, distributed ledgers, and high\-throughput batch processing systems\. AI & Machine Learning: Applied LLMs, Retrieval\-Augmented Generation \(RAG\), Agentic Workflows \(LangGraph, LangSmith\), Google Vertex AI, Vector Databases \(pgvector\), Core ML Algorithms\. Languages: Java 17, Python, Go, SQL\. Frameworks & Architecture: Spring Boot 3, FastAPI, Spring Data JPA, Hibernate, Hexagonal Architecture, Microservices\. Cloud & Infrastructure: AWS \(EC2, SQS, SNS, Batch\), GCP \(Pub/Sub, Cloud Storage\), Docker, Kubernetes\. Data & Processing: PostgreSQL, MongoDB, Redis, Kafka, Spring Batch, Distributed Ledgers\. Quality & CI/CD: JUnit 5, Mockito, SonarQube, GitHub Actions, Datadog\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

cursor

langchain

langgraph

## Work experience

Software Engineer at Wayfair, Jul 2023 \- Present · 3 yrs 4 mos, Bengaluru, Karnataka, India, • Led end\-to\-end architecture and launch of Wayfair’s core Loyalty Membership platform \(Prime Membership\), scaling the ecosystem to 1M\+ active users and handling 15M\+ daily transactional workloads\. • Architected resilient multi\-agent workflows for gift card hyper\-personalization utilizing LangChain and LangGraph for complex state management, ensuring highly targeted LLM messaging and design generation\. • Designed and implemented an automated AI evaluation framework using MLflow, establishing a curated golden dataset to benchmark multi\-agent and search retrieval performance\. Architected scoring mechanisms to proactively detect workflow drift and quantify hallucination rates prior to production deployment\. • Engineered a production\-grade RAG\-based search retrieval system for pagerduty operations using pgvector and hybrid search \(BM25 \+ dense embeddings\) to automatically surface contextual first\-step actions to on\-call engineers\. • Implemented comprehensive harness engineering across owned microservices, heavily optimizing infrastructure to significantly reduce development task token costs\. • Designed high\-throughput, event\-driven reward and cashback calculation engines using GCP Pub/Sub, reducing monolith coupling by 70% via a migration to clean Hexagonal Architecture\. • Engineered fault\-tolerant, cloud\-native microservices with 99\.99% availability, implementing advanced circuit breakers, retry strategies, and fallbacks that slashed downstream dependency failures by 65%

Software Development Engineer \- III at ZestMoney, May 2022 \- Aug 2025 · 3 yrs 4 mos, Designing and developing large\-scale, multi\-tiered, distributed software applications for minimizing risk Creating Automated Testing Frameworks Configuring alerts on Datadog and Sumologic for application failures and error fast paced agile/scrum development Developing Event Driven Architechture Working with different databases and distributed messaging systems

Software Development Engineer \- II \(Risk Tech\) at ZestMoney, Aug 2021 \- May 2022 · 10 mos, Bangalore Urban, Karnataka, India, \- Designing and developing large\-scale, multi\-tiered, distributed software applications for risk tech \-Implementing Proactive and Reactive Credit Limit Increase/Decrease Strategies to Minimize risk and increase lending \- Transforming Insights from Data Science teams \(Risk\) into services and automatic checks \- Creating and monitoring fault\-tolerant adaptive API's and financial services for handling financial risk \-Making use of existing AWS service for designing Async services using SNS, SQS, EC2, and ECS \-Participating in code reviews and design discussions \-Working closely with the DevOps team for Infra issues and troubleshooting

Software Engineering\-Engineer I at FICO, Aug 2020 \- Dec 2021 · 1 yr 5 mos, Bengaluru South, Karnataka, India, \-Developing FAC portal for Fico Products \(Analogous to AWS Console for AWS Products\) \-Designing APIs and backend server\-side services using Java, Spring Boot, and SAML SSO configurations\. \-Building RESTful APIs with monitoring, fault tolerance, and metrics\. \-Linux, and Web application development/debugging \-Maintaining event server and handling events for Asynchronous event processing using queues \-Integrating third\-party APIs and services like AppDirect and Okta \-Providing security fixes to the vulenrabilities that come us against the internal security scan\.

Solution Integration Consultant at FICO, Sep 2018 \- Aug 2020 · 2 yrs, Banglore, \- Developing REstFul Services and implementing API\. \- Developing a solution using Spring boot/Java J2EE and FICO's platform \- Deploying the solution in the form of Web service/Cloud solution on AWS/FICO analytics cloud\. \- Implementing Integration/Orchestration layer for the service using J2EE and microservices\(Restful services\) using Spring\. \- Developing end to end solution for the client right from requirements capturing to deployment using Blaze\. \- Integrating Messaging/Streaming modules into the service\. \- Undertaking client meeting and developing a sense of trust between the parties

Assistant System Engineer at Tata Consultancy Services, Aug 2017 \- Aug 2018 · 1 yr 1 mo, Greater Delhi Area, Java Developer for TCS in the Banking and Finance domain \(BFS\) of the organization\. Worked as a backend engineer for Deutsche Bank in credit score and application processing workflow\. Implementing the business logic on the Spring/J2ee platform in the form of Rest/Soap web services\. Implementing JMS queues for consumer and producer architecture\.

## Education

Bachelor of Engineering \- BE, Information Technology, Gujarat Technological University \(GTU\)

CBSE, Primary, Secondary and Higher Secondary, kendriya vidyalaya

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

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