Naman Tyagi

I'm a graduate student in Computer Science at Northeastern University's Vancouver campus. I like working close to the machine: compilers, runtimes, memory, and the gap between what a program says and what the hardware actually does.

My background is in deep learning efficiency (compression, sparsity, and optimizer benchmarking), which is what pulled me down the stack. These days I'm building tools that turn models into small, dependency-free native code.

I'm looking for internships and full-time roles in low-level / systems engineering.

• Building Null, an ONNX → standalone C compiler, in C++20
• Coursework at Northeastern (Fall 2026)
• Open to systems internships for 2027

• Compilers and code generation
• Systems programming in C / C++
• Performance engineering and profiling
• Memory layout, caches, and SIMD
• Emulation and computer architecture
• ML inference runtimes

fig. 1: Null, roughly

• Northeastern University, Vancouver: MS, Computer Science (2026 – present)
• Amity University: B.Tech, Computer Science and Engineering (2022 – 2026)

1. Comprehensive Benchmarking of Deep Learning Optimizers: A Multi-Architecture Analysis
   V Gupta, R Lal, S Das, N Tyagi, K Kunal. 9th International Conference on Micro-electronics and Telecommunication, 2025.
2. MEMO Benchmark: Guiding Optimization Trade-offs in Deep Neural Networks
   N Tyagi, S Das, Kunal, V Gupta, M Kakkar. International Hybrid Conference on Decision Aid Sciences and Applications, 2025.
3. Multi-Domain Information-Theoretic Features and Kolmogorov Complexity for Lightweight Image Splicing Detection
   N Tyagi, RC Joshi, S Das, Kunal, S Vojtech, J Stepan, MK Dutta. 17th International Congress on Ultra Modern Telecommunications and Control, 2025.
4. Reinforcement Learning for Mathematical Reasoning in Small-Scale Language Models with Structured Policy Optimization
   N Tyagi, RC Joshi, S Das, P Sikora, V Myska, MK Dutta. 17th International Congress on Ultra Modern Telecommunications and Control, 2025.
5. Multi Stream Attention Networks with Adaptive Syntactic-Emotional Fusion for Sentiment Analysis
   N Mishra, A Gupta, S Mala, S Das, N Tyagi, S Bhardwaj, NC Debnath, .... International Journal of Computers and Their Applications, 2025.
6. AI-Enabled Skin Disease Identification and Diagnosis Robot
   R Lal, A Sharma, Kunal, N Tyagi, S Das, V Gupta, M Singh, A Chopra, .... IN Patent 454778-001, 2025.