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Schedule Interview NowMy name is Sulthan S. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Python, C++, Machine Learning, Ubuntu, Robotics, etc.. I hold a degree in Bachelor of Technology (BTech), Master of Science (MS), Master of Technology (MTech). Some of the notable projects I've worked on include: Intelligent robotic parcel stacking from conveyor belt to trailer, Sidewalk segmentation and mapping pipeline, Autonomous indoor mobile robots, Isaac sim scene with MoveIt2 integration, Dual arm robotic assembly using Reinforcement Learning, etc.. I am based in Stockholm, Sweden. I've successfully completed 6 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
Main technologies
4 years
1 Year
2 Years
2 Years
Potentially possible
Neubotech
The goal of this project was to create an end-to-end software stack for picking a parcel from a conveyor to stacking it inside a trailer. I worked extensively on this project and have contributed to m
The goal was to develop a zero-shot segmentation and mapping pipeline for sidewalks using a mobile robot without manually collecting and labelling new data. I solved this by using an OWL ViT for detec
I have worked on SLAM, motion planning, obstacle avoidance and control of autonomous indoor mobile robots. The demo video shows these robots moving autonomously in an indoor environment without collid
This simulation scene in Isaac sim was created for a Reinforcement Learning training environment. The scene, as seen from the demo video, had some rigid objects, some deformable objects and the UR5e r
The goal of this project was to teach a dual-arm robot to perform peg-in-hole assembly task using Skill-based multi-objective Reinforcement Learning. I extended simulation and learning environments fr
Bachelor of Technology (BTech) in
2015-01-01-2020-01-01
Master of Science (MS) in Machine Learning, Systems and Control
2021-01-01-2023-01-01
Master of Technology (MTech) in
2015-01-01-2020-01-01