Suryansh Sijwali
AI/ML Engineer & Researcher
- Currently working on
- Causality-aware secure reward design for RL-based C code generation, and risk-bounded capacity provisioning via decision-focused conformal forecasting.
- Upcoming
- LCTES 2026 presentation · June 15 · Boulder, CO.
Architecting intelligent systems that solve complex problems — where research meets implementation.
About
A little context
I'm a Computer Science student at Penn State, passionate about building intelligent systems at the intersection of AI research and practical software engineering.
Currently focused on LLM-powered code analysis, full-stack development, and exploring how AI can solve real-world problems in manufacturing, education, and beyond.
Founding Engineer at Wynlabs
Jan 2025 – Present
Software Engineer Intern at Leechy LLC
Jun 2025 – Sep 2025
Education
B.S. Computer Science
Penn State University · Expected May 2027
Schreyer Honors College · College of Engineering · Eberly College of Science
Minors: Physics, Quantum Information Sciences and Engineering, Computer Engineering, Computational Cybersecurity
Research
Featured papers and investigations
A reliability-first reinforcement learning framework for small language models in code generation. Designed for embedded and resource-limited settings where models must run on a single GPU or CPU and binary test rewards are too sparse to train reliably.
Training and calibrating traffic forecasters so predictions minimize operational cost like SLA violations and over-provisioning, not statistical error. Evaluated end-to-end on real backbone traffic with multi-seed paired comparisons against modern baselines.
All research →
Engineering
What I'm shipping
Cross-institutional AI software platform building an industrial copilot for manufacturing. Multi-agent workflows run over live plant-floor data.
All engineering →