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Haris R. Cloud, AI and General Development

My name is Haris R. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Microsoft Azure, Google Cloud Platform, Amazon Web Services, Python, Cloud Computing, etc.. I hold a degree in . Some of the notable projects I've worked on include: Transaction processing state machine, Supply chain application using QLDB, Infrastructure as Code, Using AWS AI services in a web application, AI application using FSx lustre, etc.. I am based in Rawalpindi, Pakistan. I've successfully completed 8 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • Cloud, AI and General Development

    2 years

  • Microsoft Azure

    1 Year

  • Google Cloud Platform

    1 Year

  • Amazon Web Services

    1 Year

Additional skills

  • Microsoft Azure
  • Google Cloud Platform
  • Amazon Web Services
  • Python
  • Cloud Computing
  • AI Chatbot
  • AI Data Analytics
  • ML Automation
  • MLOps
  • DevOps
  • Machine Learning
  • TensorFlow
  • Natural Language Processing
  • LLM Prompt
  • Generative AI

Direct hire

Potentially possible

Previous Company

Tensorr

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Experience Highlights

Transaction processing state machine

Deployed Lambda functions to process the transactions and added them to the DynamoDB tables. I created a state machine using AWS StepFunctions, and the state machine was monitored using the AWS X-Ray.

Supply chain application using QLDB

I configured the API gateway, REST APIs, Lambda functions, and QLDB database, which were integrated with the application.

Infrastructure as Code

I used AWS CloudFormation to deploy the infrastructure as code. Using a CloudFormation template, I configured the routing tables, private and public subnets, EC2 instances, Internet gateway, instance

Using AWS AI services in a web application

I configured the lambda functions, which were integrated with a react application to fetch the data, and used the AWS AI services to generate results.

AI application using FSx lustre

I deployed an Infrastructure that used the FSx Lustre, which is suitable for high-performance computing. The FSx was connected to the S3 bucket to retrieve data, and EC2 instances used the data from t

Education

  • FAST NUCES Islamabad; Islamabad, Pakistan

    in Computer science

    2018-01-01-2022-01-01

Languages

  • English (Fluent)✓
  • Urdu (Native or Bilingual)