Lal Z. looks like a good fit?

We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?

Schedule Interview Now

Lal Z. - Django Developer, React Native, nextjs

My name is Lal Z. and I have over 13 years years of experience in the tech industry. I specialize in the following technologies: Amazon Web Services, Kubernetes, Django, Docker, Python, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Crispa, Talent Strap, Knox Financial, Marketfy, Neustreet, etc.. I am based in Lahore, Pakistan. I've successfully completed 13 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • Django Developer

    13 years

  • Amazon Web Services

    8 Years

  • Kubernetes

    4 Years

  • Django

    7 Years

Additional skills

Direct hire

Potentially possible

Ready to get matched with vetted developers fast?

Let’s get started today!

Hire undefined

Experience Highlights

Crispa

Set up GitHub Actions from scratch to automate build and test processes for each pull request. Refactored and optimized infrastructure on render.com, including setting up database snapshot and full backup plans. Implemented AWS backup plans for S3 data to ensure data security and recovery. Added security scans using probely.com to enhance the app's security. Documented all processes and updates in detail using the Shortcut documentation tool.

Talent Strap

Engineered pipelines for the candidate applications to pass through automated screening Built comprehensive recruiter dashboard, enabling recruiters to seamlessly process candidates manually Leveraged OpenAI to parse resumes, enrich candidate profiles, and evaluate skill matching for optimal candidate fit Integrated ChargeBee to facilitate effortless purchase and management of job slots for clients

Knox Financial

Knox App is for customers to be onboarded by going through the signup process and providing all property details. Schedule a call with the Sales and Onboarding Team after signup and google meet invite will be sent with Zoom meeting. Schedule Virtual walkthrough call and Add Bank Details. I was working on this project as a Full stack web engineer primarily focused on Backend, DevOps and Deployment process automation. I had to involve in meeting with Project Manager, CTO and Team Lead to discuss overall progress, challenges, sprint plannings and update the company stack holders

Marketfy

Marketfy is a modest-complexity Django application, written in Python 3. It has APIs written with Django REST Framework, and makes heavy use of the Python ecosystem. Marketfy contains automated testing for the site's functionality and is running over Google Cloud. All the services are containerized using Docker and deployed using Kubernetes and Helm charts. The infrastructure is built using Terraform.

Neustreet

The architecture of the Neustreet platform is based on Data Engineering pipelines which includes a data ingestion part where it has dozen of distributed data jobs pulling data from different data sources, add meta to the data and feed to S3 buckets. it has a data cleaning pipeline and a consumption part which contains the final validated and transformed data for end users to be consumed by a frontend application and also to be served through REST APIs using subscriptions. These AWS Batch jobs are then triggered from Apache Airflow based on predefined schedules.

Education

  • University of Engineering & Technology Peshawar, Pakistan

    Bachelor of Engineering (BEng) in Computer engineering

    2008-01-01-2012-01-01

Languages

  • English

Personal Accounts