
Syed Muhammad Sarim Ahsan
@syedmuhammadsarimahs
I build open-source LLMs, CUDA kernels, and production AI systems from the ground up.
What I'm looking for
I build open-source LLMs, interpretability tools, and reproducible AI systems, from decoder-only Transformers and CUDA kernels to RAG platforms. At Global Integration System, I engineer Portalersm, a production student recruitment platform serving 600+ active users across the UK.
My research examines Transformer architecture, hallucination detection, efficient inference, and cross-environment robustness. I’ve built and evaluated systems including InterpLens, Nova-MoE, Nova-141M, a pure NumPy GPT-2 inference engine, speculative decoding benchmarks, and preference-optimization experiments that reduced toxic outputs by 84.2%.
I enjoy understanding AI systems from the ground up—training models, profiling GPU kernels, and turning research ideas into usable tools and production infrastructure.
Experience
Work history, roles, and key accomplishments
Software Engineer
Global Integration System (GIS)
Jan 2025 - Present (1 year 8 months)
Engineered and maintain Portalersm, a production student recruitment platform serving 600+ active users across the UK. Architected scalable full-stack features, Node.js backend services, secure role-based access control (RBAC), Docker containerization, and zero-downtime CI/CD deployment pipelines using GitHub Actions.
Education
Degrees, certifications, and relevant coursework
Sir Syed University of Engineering & Technology
Bachelor of Science, Computer Engineering
2023 -
Grade: 3.53 / 4.00
Pursuing a Bachelor of Science in Computer Engineering with a GPA of 3.53/4.00, currently in the 7th semester.
Beaconhouse School System
Higher Secondary School Certificate, Computer Science
2009 - 2021
Grade: A
Completed Higher Secondary School education in Computer Science with an A grade.
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Location
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