M

Mohd Bilal Aziz

Software Engineer

Seattle, Washington, United States7 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in architecting scalable cloud solutions.
  • Proven track record in optimizing payment systems.
  • Strong background in developing serverless applications.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in cloud solutions and payment systems.

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Skills

Core Skills

PythonAwsGcpFlaskNlp

Other Skills

Amazon DynamodbAmazon Web Services (AWS)ElasticsearchGoogle Cloud Platform (GCP)HTMLJavaScriptMongoDBSQLite

Experience

Amazon web services (aws)

SDE II

Feb 2025Present · 1 yr 1 mo · Seattle, Washington, United States

Amazon

2 roles

SDE II

Promoted

Jul 2023Feb 2025 · 1 yr 7 mos · Gurugram, Haryana, India

  • Engineered automated tax compliance system for India market, reducing manual processing by 90 percent
  • Architected Google’s Alternative Payment System for Prime retail services across multiple markets
  • Optimized Google Play billing integration, achieving 0.9 percent cost savings per transaction
PythonGoogle Cloud Platform (GCP)Amazon Web Services (AWS)AWS

SDE I

Jul 2021Jun 2023 · 1 yr 11 mos · Gurugram, Haryana, India

  • Led design and implementation of Prime membership tiering system with atomic upgrade capabilities
  • Architected end-to-end Prime membership platform, streamlining multi-tier subscription workflows
  • Led Google IAB payment integration design for India marketplace, coordinating with global teams
  • Managed critical system deployments with zero downtime while mentoring team
PythonAWSMongoDB

Bluestacks

Software Developer

Oct 2020Jul 2021 · 9 mos · Gurugram, Haryana, India

  • Developed various Flask based applications for game.tv app and deployed them on GCP's App Engine
  • Used various GCP services like Task Queues, Kubernetes, Big Query, Pub-Sub, DataStore for streamlining the flow of backend applications
  • Used Elastic Search to implement search functionality on UI by using n-grams analyzer in ES
  • Used Data Streams of ES to send application logs (with rollover policies) through LogStash
  • Used MangoDB for storing time series data and for querying it by bucketing; also used it for various other backend functions
  • Used GraphQL to optimize application response time by requesting all the data in a single request
  • Used Firestore and FCM Topics to send push and in-app notifications to users of game.tv app
  • Used HasOffers for tracking purposes of Ads that were shown on feed of game.tv app. Integrated HasOffers with Adjust, Appsflyer to track conversion of Ads
PythonGCPFlask

Delhivery

Software Developer

Jun 2019Oct 2020 · 1 yr 4 mos · Gurgaon, India

  • Developed various Flask based applications and have good knowledge of how to deploy them using web servers (NGINX) and application servers (UWSGI, GUNICORN)
  • Changed the existing architecture of applications by taking them to serverless architecture (Lambda, Kinesis Streams, SQS, ECS Fargate, S3, API Gateway, Redis, Kinesis Firehose Stream, Athena) on AWS
  • Solved various data engineering problems (bounded data) using Native Flink and then took it to EMR Flink to reduce the cost of running servers
  • Developed various async applications using RABBITMQ, Kafka, Kinesis, Celery, Disque
  • Have worked on AWS SageMaker to train and deploy ML models (with endpoints) and used AWS auto-scaling to scale the model when the traffic was high
  • Have worked on various networking related problems in AWS (VPC, Subnets, Security Groups, VPC Peering, IAM Roles)
  • Have knowledge of CI/CD integration of various services of AWS (Lambda, ECS Fargate) using bitbucket pipelines and codepipeline
  • Worked on various engineering problems like AWS Glue jobs to merge data in S3,
  • took the model from RDS (PSQL) to in-memory using Networkx to reduce RDS cost
  • Deployed many applications using canary deployments on AWS
PythonAWSFlask

Camp k-12

Android Developer Intern

Jun 2018Jun 2018 · 0 mo · Gurgaon, India

  • Developed different apps like JSON Parsing, Chat app and SQLite app. JSON data is fetched by the app and then analyzed whether it contains useful information or not using NLP. Prototype of chat app which was used in Camp K12 – MentorMatch. SQLite database was used to store the details of users.

Computer society of india

General Secretary

Jan 2018Jan 2019 · 1 yr · New Delhi Area, India

  • Organized many fests like Algorythm, Spring Fest Jamia and Encomium. Convinced Hyundai and different Coaching institutes to sponsor Spring Fest Jamia.

Education

Jamia Millia Islamia

Bachelor of Technology - BTech — Computer Science

Jan 2015Jan 2019

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