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 SLAH U. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: MongoDB, React, Oracle Database, C++, Robot Operating System, etc.. I hold a degree in Bachelor of Computer Science (BCompSc), Master of Computer Science (MSCS). Some of the notable projects I've worked on include: 🤖 Agentic AI for Autonomous Decision-Making, COGNITA, Self-Driving Capabilities on a EV Using Machine Learning and LLMs, Computer Vision on Edge Device. I am based in Lahore, Pakistan. I've successfully completed 4 projects while developing at Softaims.
I'm committed to continuous learning, always striving to stay current with the latest industry trends and technical methodologies. My work is driven by a genuine passion for solving complex, real-world challenges through creative and highly effective solutions. Through close collaboration with cross-functional teams, I've consistently helped businesses optimize critical processes, significantly improve user experiences, and build robust, scalable systems designed to last.
My professional philosophy is truly holistic: the goal isn't just to execute a task, but to deeply understand the project's broader business context. I place a high priority on user-centered design, maintaining rigorous quality standards, and directly achieving business goals—ensuring the solutions I build are technically sound and perfectly aligned with the client's vision. This rigorous approach is a hallmark of the development standards at Softaims.
Ultimately, my focus is on delivering measurable impact. I aim to contribute to impactful projects that directly help organizations grow and thrive in today's highly competitive landscape. I look forward to continuing to drive success for clients as a key professional at Softaims.
Main technologies
4 years
3 Years
3 Years
3 Years
Potentially possible
Goal Bytes
Developed an intelligent agentic AI system that makes autonomous, data-driven decisions with minimal supervision. Built end-to-end ML pipelines, optimized models for adaptability, and applied them to
Cognita uses Langchain/Llamaindex under the hood and provides an organisation to your codebase, where each of the RAG component is modular, API driven and easily extendible. Cognita can be used easil
Designed and deployed an advanced simulator for the Polaris GEM e2 vehicle, integrating machine learning algorithms for real-time sensor management and path planning. The project utilized a modular ar
Deployed machine learning models on edge devices such as Nvidia Jetson, Qualcomm, and Voxl to perform real-time computer vision tasks. The project involved optimizing models for low-latency inference,
Bachelor of Computer Science (BCompSc) in
Master of Computer Science (MSCS) in