Syed M.

Syed M.

Senior Software Engineer

Pakistan
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About Me

Syed is a driven Software Engineer with 4+ years of experience in back-end development using Golang, C++, Python, and machine learning tools. His expertise includes working on multiple AI-powered platforms such as the Driving Infrastructure and Traffic Injection modules of AAI's Intelligent Traffic. He is passionate about building robust, customer-centric software solutions from the ground up, with an emphasis on low latency, scalability, and extensibility.

Work history

UpStack
UpStack
Senior Software Engineer
2022 - Present (2 years)
Pakistan
  • Create and develop innovative software solutions for different clients across a broad range of industries.

  • Participate in scrums consisting of cross-functional teams, both software and hardware.

  • Ensure that features are being delivered efficiently and on-time.

Pixelmatic
Pixelmatic
Software Development Engineer
2021 - Present (3 years)
Remote, Hong Kong
  • Worked on translating software requirements into stable, working, high performance software, focusing on the backend infrastructure.

  • Played a key role in the transition of the Gaming world to an NFT-driven future, using multiple technologies and tools.

  • Offered technical advice and solutions for other teams in the company.

Automotive Artificial Intelligence (AAI) GmbH
Automotive Artificial Intelligence (AAI) GmbH
Platform Developer - Intelligent Traffic
2021 - 2021
Germany
  • Worked on the backend development of the a replica of the world project, to support safer and faster development of highly automated driving.

  • Created software algorithms and code in C++, optimizing software performance, identifying and fixing bugs.

  • Closely collaborated with engineering teams to develop concepts for translating research into market-ready products.

Stealth Startup
Stealth Startup
Founding Engineer
2021 - 2021
United States of America
  • Acted as Founding Engineer of a Stealth mode Silicon Valley Startup, pioneering cloud infrastructure to fuel outage-free cloud deployments.

  • Provided a clean and reliable technical solution, as well as collaborated with members of the development team and interacted with clients.

  • Ensured the applications meets security and compliance requirements.

Afiniti
Afiniti
Software Engineer - Core Engine
2020 - 2021 (1 year)
Remote, United States of America
  • Worked on the development of an AI platform that identifies behavioral patterns to transform the quality of interpersonal interactions.

  • Contributed to services and algorithms building up the latest v6 of Afiniti's main AI product, based on a homegrown Micro-services architecture.

  • Took end-to-end ownership of problems from detection to resolution.

Automotive Artificial Intelligence (AAI) GmbH
Automotive Artificial Intelligence (AAI) GmbH
Platform Engineer
2018 - 2020 (2 years)
Remote, Germany
  • Worked on the Driving Infrastructure and Traffic Injection modules of AAI's Intelligent Traffic, aspiring to see a world where autonomous agents are a norm.

  • Utilized Python/C++ and machine learning tools to design software algorithms.

  • Contributed to best practices, helping to balance the diversity of individual skills within the development team community.

Portfolio

Software Engineer - RFS - Afiniti
Software Engineer - RFS - Afiniti

Afiniti is the world’s leading applied artificial intelligence and advanced analytics provider. Afiniti Enterprise Behavioral Pairing™ uses artificial intelligence to identify subtle, valuable patterns of human interaction in order to pair individuals on the basis of behavior, leading to more successful interactions and measurable increases in enterprise profitability. The project involved creating a service to monitor and cater to any failure in Afiniti’s Microservice Architecture, specifically for the call-routing domain.

Software Engineer - Intelligent Traffic - Automotive Artificial
Software Engineer - Intelligent Traffic - Automotive Artificial

The development of advanced driver assistance systems (ADAS) and highly automated driving (HAD) requires profound knowledge in the areas of artificial intelligence, complex software architectures, software frameworks, and tool development. This is a C++ based implementation of naturalistic traffic flow based on Mathematical models to facilitate the testing of AAI Autonomous Agents. This project won the German Mobility Award in 2021 for Best Practices. It started with an MVP written in Python, which we shifted completely to C++ 14 and C++ 11 and got to run 1000 vehicles in a simulation at 1000 FPS.

Software Engineer - ReplicaR - Automotive Artificial Intelligence
Software Engineer - ReplicaR - Automotive Artificial Intelligence

With this naturalistic traffic simulation, it is possible to test automated driving algorithms based on long-haul test drives in simulation. Worked on a platform to support testing of Autonomous Driving Agents with end-to-end report generation and support for multiple Highway and Urban maps with a variety of environmental conditions. Supports driver profiles ranging from extremely defensive and aggressive agents. The product also supports co-simulation with various other platforms

Education

Golang Certification
Golang Certification
HackerRank
Golang Certification
Golang Certification
Turing.com
Bachelor's degree, Computer Science
Bachelor's degree, Computer Science
National University of Computer and Emerging Sciences