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Nisar A. Python, React and Generative AI Platforms

My name is Nisar A. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Python, Django, FastAPI, Flask, RESTful Architecture, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I’ve worked on include: Allocator - A FinTech Product, Acadexis (AI-Powered Salary Intelligence Platform), xiQ (AI-Powered B2B Platform), Archer Affiliates (Affiliate Marketing Platform), POSTMODA (E-Commerce Product), etc.. I am based in Lahore, Pakistan. I've successfully completed 7 projects while developing at Softaims.

I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.

I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.

My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

Main technologies

  • Python, React and Generative AI Platforms

    6 years

  • Python

    5 Years

  • Django

    3 Years

  • FastAPI

    1 Year

Additional skills

Direct hire

Potentially possible

Previous Company

10Pearls

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Experience Highlights

Allocator - A FinTech Product

- Worked as a Senior Full-Stack Engineer, developed core features with Python/FastAPI and Vue.js. - Deployed cloud solutions on AWS for scalability and reliability. - Optimized PostgreSQL performance for faster data access. - Managed CI/CD pipelines with Jenkins/GitLab CI. - Led testing with pytest and FastAPI’s testing utilities. - Collaborated with teams to implement features and enhance user experience.

Acadexis (AI-Powered Salary Intelligence Platform)

Developing a scalable Ruby backend for data processing and API integration. - Integrating AI models (GPT-4, Llama, LangChain) for salary trend analysis and insights. - Building web scrapers with Kudos and Firecrawl for automated salary data extraction. - Designing pipelines to fetch, clean, and classify salary information. - Optimizing MongoDB and PostgreSQL for efficient querying. - Implementing a React.js frontend for an intuitive user experience. - Developing AI-driven self-learning systems to refine salary predictions. - Managing cloud infrastructure for scalability and reliability.

xiQ (AI-Powered B2B Platform)

- Developed and optimized Django-based backend APIs for seamless data processing and integration. - Implemented AI/ML models and NLP techniques to analyze behavioral data and generate actionable insights. - Designed real-time data pipelines for efficient market intelligence processing. - Integrated AWS (EC2, S3, Lambda) for scalable cloud solutions. - Optimized PostgreSQL for large-scale structured data. - Enhanced the React.js frontend for AI-driven data visualization. - Automated data updates to ensure real-time accuracy.

Archer Affiliates (Affiliate Marketing Platform)

- Developing and optimizing REST APIs with FastAPI and MongoDB for seamless brand-affiliate communication. - Integrating Amazon APIs for efficient product data management. - Implementing an invitation system for brands to onboard affiliates. - Integrating URLGenius for affiliate link tracking. - Managing brand revenue calculations and affiliate commissions. - Developing a browser extension for product listing verification. - Deploying and scaling services using AWS (EC2, S3, Lambda, EventBridge). - Resolving API failures related to Heroku CDN for platform stability.

POSTMODA (E-Commerce Product)

- Worked as a Senior Full-Stack Developer, built responsive frontend interfaces with React and Next.js for an intuitive UX. - Developed backend services using Ruby on Rails for scalable and maintainable applications. Utilized AWS for secure, scalable cloud deployments. - Optimized database performance with PostgreSQL and ActiveRecord. - Ensured seamless integration between frontend and backend using RESTful APIs and GraphQL. - Implemented automated testing with RSpec and Jest to ensure code reliability. - Managed background job processing with Sidekiq and Redis for efficient task execution.

Education

  • FAST National University of Computer and Emerging Sciences

    Bachelor of Computer Science (BCompSc) in

    2008-01-01-2012-01-01

Languages

  • English

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