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Available for select work · Bengaluru, India

Faizan
Fayaz Mir.

Software Development Engineer @ Amazon

Currently engineering large-scale services at Amazon. Distributed backends, cloud-native services, and production GenAI — built to be fast, reliable, and quietly boring in the best way.

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Now
SDE @ Amazon India
Since
May 2024
Before
AI/ML Research · IIT Guwahati
Degree
B.E. CSE · VTU · 8.68 CGPA
Distributed Systems✦Java✦Spring Boot✦Python✦FastAPI✦AWS✦GenAI✦RAG✦LangGraph✦Microservices✦Kubernetes✦React✦System Design✦Distributed Systems✦Java✦Spring Boot✦Python✦FastAPI✦AWS✦GenAI✦RAG✦LangGraph✦Microservices✦Kubernetes✦React✦System Design✦
§ 01
About

I'm a backend engineer who treats reliability as a craft, and simplicity as the goal.

At Amazon, I work on services that have to be both fast and forgettable — the kind that just work, at any scale. My day-to-day is Java and Spring Boot, Python and FastAPI, a healthy amount of AWS, and increasingly, LLM-powered tooling that takes the toil out of operations.

Before that, I spent a season at IIT Guwahati doing ML research on Bose–Einstein Condensates — which taught me that the cleanest systems often hide the deepest physics. That instinct carries over to everything I build now.

Outside of work, I'm building side projects, reading distributed systems papers, and slowly converging on the perfect pour-over.

0%
Reliability gain
0%
Latency reduction
0%
Less manual ops
0.0%
Deploy success
currently

Building production LLM & RAG pipelines — AI-assisted triage that reads the logs, finds the root cause and routes the ticket before a human has to.

§ 02
What I Do

Four things I'm reliably good at — from the database up to the dashboard.

01

Distributed Backends

Fault-tolerant Spring Boot and async FastAPI microservices on ECS/EKS, with caching, connection pooling and query tuning for APIs serving millions of requests a day.

JavaSpring BootFastAPIRedisDynamoDB
02

Production GenAI

RAG pipelines, LangChain/LangGraph agents and LLM-assisted triage services — retrieval that answers in under a second and automation that routes tickets on its own.

LLMsRAGLangGraphVector DBs
03

Cloud & Automation

Event-driven workflows on Step Functions and CloudWatch, CI/CD with Docker and Jenkins, zero-downtime rollbacks and alerting that fixes itself before anyone wakes up.

AWSStep FunctionsDockerJenkinsTerraform
04

Full-Stack Tooling

Responsive React dashboards and config portals on Node, Express and MongoDB — the internal tools that make incident response faster across teams.

ReactNext.jsNode.jsMongoDB
§ 03
Experience

Where I've been shipping.

May 2024 — Present
Current

Amazon India

Software Development Engineer
Bengaluru, India

Building high-availability backend services, GenAI-assisted operations tooling, and the automation that keeps them running.

JavaSpring BootPythonFastAPIAWSECS/EKSStep FunctionsDynamoDBRedisLLMs / RAGReactDocker
  1. 01

    Scalable microservices

    Designed and deployed high-availability backend services in Java, Python and AWS (Lambda, EC2), improving system reliability by 30%; architected fault-tolerant Spring Boot and async FastAPI microservices orchestrated on ECS and EKS.

  2. 02

    High-throughput APIs

    Optimised RESTful APIs handling millions of daily requests — 20% lower latency through caching, SQL tuning, Redis, Hibernate and connection pooling across MySQL and DynamoDB.

  3. 03

    LLM & GenAI integration

    Engineered AI-assisted developer and operational-triage services with Python, FastAPI, LLMs and RAG behind API Gateway, automating log root-cause analysis and ticket routing.

  4. 04

    Event-driven automation

    Built pipelines on Step Functions and CloudWatch that cut manual operational intervention by 40%, with real-time telemetry, alerting and automated recovery.

  5. 05

    Full-stack internal tools

    Shipped responsive operational dashboards and config-management portals in React, Node.js, Express and MongoDB, speeding up cross-team incident resolution.

  6. 06

    CI/CD & infrastructure

    Streamlined deployments with Docker, Jenkins and Git — 99.9% deployment success with automated unit/integration tests and zero-downtime rollbacks.

  7. 07

    Mentorship

    Mentored junior engineers on coding standards and debugging; ran HLD/LLD design reviews and code audits in an Agile/Scrum team.

Jun 2023 — Nov 2023

IIT Guwahati

Research Intern — AI/ML
Guwahati, India

Machine learning for quantum physics — teaching neural networks to predict how Bose–Einstein Condensates behave.

PythonPyTorchNumPyFastAPIFlaskJupyter
  1. 01

    Deep learning for physics

    Applied ML models to Bose–Einstein Condensate (BEC) simulations, increasing predictive accuracy by 30% with Python, PyTorch and custom neural-network architectures.

  2. 02

    High-performance pipelines

    Developed algorithms for quantum-state dynamics analysis, improving data-processing efficiency by 25%, and exposed model inference through lightweight FastAPI and Flask services.

  3. 03

    Research & presentation

    Presented computational research findings at 5+ academic conferences, focusing on simulation scalability and efficiency.

§ 04
Skills

Tools I reach for, languages I think in.

65 technologies · 7 domains

Languages

8
JavaPythonSQLJavaScriptTypeScriptC++CC#

Backend

12
Spring BootFastAPINode.jsExpress.jsDjangoFlaskHibernate.NETRESTGraphQLgRPCMicroservices

AI · LLMs · ML

11
LLMsRAGLangChainLangGraphPyTorchPineconeFAISSChromaDBPrompt EngineeringOpenAI APIHugging Face

Cloud & DevOps

13
AWS LambdaEC2S3ECSEKSAPI GatewayStep FunctionsCloudWatchDockerKubernetesTerraformJenkinsGitHub Actions

Data & Messaging

7
MySQLPostgreSQLDynamoDBMongoDBRedisFirestoreApache Kafka

Frontend & Mobile

7
ReactNext.jsReduxTailwind CSSHTML5CSS3Flutter

Core Competencies

7
System Design (HLD/LLD)Distributed SystemsData Structures & AlgorithmsOOPAPI DesignTDDAgile / Scrum
§ 05
Selected Projects

Things I've built — shipped, not just sketched.

More on GitHub
§ 06
Education & Recognition
Jul 2020 — May 2024

Visvesvaraya Technological University

Bachelor of Engineering — Computer Science & Engineering

Belagavi, India
8.68/10
CGPA
AWS Cloud Practitioner
Amazon Web Services
500+ DSA Problems Solved
LeetCode · CodeChef
5+ Academic Conferences
IIT Guwahati research
Hackathon Finalist
Inter-college
§ 07
Contact

Let's build
something good.

Open to interesting backend, distributed-systems and GenAI engineering roles. Reach out — I usually reply within a day.

+91 7006492628
Bengaluru, India
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