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

SecureCodeRL

WIP — Accepted

LCTES 2026 (WIP) · Patishnock Award Winner

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.

ML for Network Traffic Prediction and Capacity Planning

WIP

Finalizing methodology

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

Wynlabs

Industry / Startup

Founding Engineer

Cross-institutional AI software platform building an industrial copilot for manufacturing. Multi-agent workflows run over live plant-floor data.

All engineering →

Writing

Recent notes

All writing →