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 NowMy name is Sher A. and I have over 4 years years of experience in the tech industry. I specialize in the following technologies: API Development, Django, Python, AWS Lambda, PostgreSQL, etc.. I hold a degree in , . Some of the notable projects I’ve worked on include: Flight Aggregator - Sastaticket.pk, Aurora - AI Market Research Platform, Memo Cards – AI-Powered Study Tool, Fintech micropayment processing platform - Maxab Stops, Narratize - AI Content Generation, etc.. I am based in Lahore, Pakistan. I've successfully completed 13 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
4 years
2 Years
3 Years
3 Years
Potentially possible
Sastaticket.pk had found product market fit and was looking to revamp their technology from scratch. Creating a flight aggregator (search engine) had its own set of challenges like: - Aggregating flight search results from different providers - Writing data pipelines to update flight prices in realtime - Writing a commissions engine that updated seat-level commission every minute - Creating a frontend that "streamed" results - Building a cache layer so that the results are snappy yet accurate
Aurora, a market research company, commissioned Cogent Labs to design an AI-powered self-service market research platform. This innovative tool empowers entrepreneurs and investors to swiftly assess new opportunities, understand the competitive landscape, and ultimately determine whether a venture is worth pursuing. Our task was to develop a system capable of accurately calculating market size, total addressable market (TAM), and serviceable addressable market (SAM), analyzing the competition within that industry with speed and precision.
I developed Memo Cards for my client, Jason Chan, to help students study more effectively by streamlining flashcard creation. The platform uses AI to transform PDFs and lecture notes into customizable study aids like flashcards and quizzes in seconds. Its user-friendly interface allows anyone to generate study materials easily. Additionally, I integrated personalized tutoring features that provide feedback to enhance learning. After thorough testing and feedback from users, Memo Cards has successfully supported thousands of learners worldwide in saving time and improving their study efficiency
Maxab, a leader in QuickCommerce in Egypt, commissioned Cogent Labs to design a robust offers engine aimed at stimulating an increase in merchant microtransactions Our task was to create a system capable of managing the rigorous demands of a high-frequency platform serving over a million users per month. This project presented numerous complex challenges. Responding with resourcefulness and expertise, the Cogent Labs team developed an auto-scaling architecture, implemented optimized queries, and integrated Redis caching layers to augment system performance.
Cogent Labs partnered with Narratize, a traditional content marketing agency serving many clients, including Fortune 500 companies, to transform their business by developing a state-of-the-art generative AI content generation platform for over 20 content creation use cases. Some prominent examples of use cases include pitch creation and article generation. The tool is designed to be simple and easy to use, allowing users to enter data and quickly generate the required content.
in
2020-01-01-2021-01-01
in
2015-01-01-2019-01-01