---
title: "Faizan Fayaz Mir - Software Development Engineer in Bengaluru | Tal"
description: "Meet Faizan Fayaz Mir, Software Development Engineer @ Amazon | Backend & Distributed Systems | Java, Spring Boot, Python, AWS | GenAI: LLMs & RAG | Ex-Research Intern @ IIT Guwahati based in Bengaluru. AI stack includes antigravity, claude code, and codex. Explore public work links including fxn-o..."
image: "https://tal.club/meet/faizan-mir/share-image"
---

# Faizan Fayaz Mir on Tal

## Headline

Software Development Engineer @ Amazon \| Backend & Distributed Systems \| Java, Spring Boot, Python, AWS \| GenAI: LLMs & RAG \| Ex\-Research Intern @ IIT Guwahati

## About

I'm a Software Development Engineer at Amazon, building and running backend services that handle millions of requests a day\. My work sits where backend engineering, AWS cloud infrastructure and applied GenAI meet\. What I work on • Backend & distributed systems: Java, Spring Boot, Python and FastAPI microservices on AWS ECS/EKS, designed for high availability and fault tolerance • API performance: RESTful API tuning with Redis caching, SQL query optimization and connection pooling across MySQL and DynamoDB • Cloud & automation: event\-driven workflows on AWS Lambda, Step Functions and CloudWatch; CI/CD with Docker, Jenkins and Git • Applied AI: LLM and RAG\-based internal services that automate log root\-cause analysis and ticket routing • Full stack: internal dashboards and tools built with React, Node\.js, Express and MongoDB Selected impact at Amazon • Improved service reliability by 30% by redesigning backend services for high availability • Cut API latency by 20% on services serving millions of daily requests • Reduced manual operational work by 40% through Step Functions and CloudWatch automation • Maintained a 99\.9% deployment success rate with automated testing and zero\-downtime rollbacks • Mentor junior engineers and contribute to HLD/LLD design reviews and code reviews Before Amazon, I was an AI/ML Research Intern at IIT Guwahati, applying PyTorch models to Bose\-Einstein Condensate simulations and improving predictive accuracy by 30%\. I hold a B\.E\. in Computer Science and Engineering from VTU \(CGPA 8\.68/10\)\. Core skills: Java · Spring Boot · Python · FastAPI · REST APIs · Microservices · System Design · Distributed Systems · AWS · Docker · Kubernetes · CI/CD · SQL · DynamoDB · Redis · Kafka · LLMs · RAG · LangChain · React · TypeScript Open to conversations about Software Engineer, Backend, Full Stack and Applied AI roles\. Message me here or email faizanfayazmir1@gmail\.com\.

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

cursor

hugging face

langchain

## Work experience

Software Development Engineer at Amazon, May 2024 \- Present · 2 yrs 6 mos, Bengaluru, • Designed and deployed high\-availability backend services in Java and Python on AWS \(Lambda, EC2, S3, DynamoDB\), improving service reliability by 30% • Built fault\-tolerant Spring Boot and asynchronous FastAPI microservices, orchestrated on AWS ECS and EKS • Optimized RESTful APIs serving millions of daily requests, cutting latency by 20% through Redis caching, SQL query tuning, Hibernate optimization and connection pooling across MySQL and DynamoDB • Engineered internal LLM\-powered triage services \(Python, FastAPI, RAG pipelines, AWS API Gateway\) that automate log root\-cause analysis and ticket routing • Automated event\-driven operational workflows with AWS Step Functions and CloudWatch, reducing manual intervention by 40% and enabling real\-time alerting and automated recovery • Built operational dashboards and configuration\-management portals with React, Node\.js, Express and MongoDB, speeding up cross\-team incident resolution • Implemented CI/CD pipelines with Docker, Jenkins and Git, sustaining a 99\.9% deployment success rate with automated unit/integration tests and zero\-downtime rollbacks • Mentored junior engineers on coding standards and debugging; conducted HLD/LLD design reviews and code reviews in an Agile/Scrum team

Research Intern \(AI/ML\) at Indian Institute of Technology, Guwahati, Jun 2023 \- Nov 2023 · 6 mos, Guwahati, • Applied machine learning and custom PyTorch neural network architectures to Bose\-Einstein Condensate \(BEC\) simulations, increasing predictive accuracy by 30% • Developed algorithms for quantum state dynamics analysis, improving data processing efficiency by 25% • Exposed model inference endpoints through lightweight FastAPI and Flask services • Presented research findings at 5\+ academic conferences, focusing on simulation scalability and computational efficiency

## Education

Bachelor of Engineering \- BE, Computer Science and Engineering, Visvesvaraya Technological University

## Public links

- fxn\-omega\.vercel\.app: https://fxn\-omega\.vercel\.app/

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

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