Faizan Fayaz Mir profile photo 1 on Tal

Faizan Fayaz Mir

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

Bengaluru

2+ years of work experience

Amazon
May 20242 yrs 6 mosPresent

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
Indian Institute of Technology, Guwahati
Jun 20236 mosNov 2023

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

Faizan’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
cursor
cursor
hugging face
hugging face
langchain
langchain

Education

Visvesvaraya Technological University

Bachelor of Engineering - BE, Computer Science and Engineering

Visvesvaraya Technological University

20204 yrs2024

Join Faizan and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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/