Research Portfolio

Applied research for scalable and reliable AI systems.

I focus on practical research where algorithmic ideas translate into usable systems, with strong attention to performance, safety, and maintainability.

ScalaF: Functional Refactoring for Scala

Program Analysis Static Refactoring Published 2025

Built a static analysis engine using Scalameta to detect imperative anti-patterns and safely refactor them into functional and parallel Scala code. Presented at Scala Workshop 2025 (SPLASH/ICFP).

Ransomware Early Detection with Reinforcement Learning

Security ML PPO + BiLSTM Sequence Modeling

Framed early malware detection as an optimal stopping problem and used PPO with a BiLSTM policy on API call sequences, improving early-stage detection while reducing the number of observed calls.

Speech-Driven Customer Service Assistant

Generative AI RAG Pipeline Low Latency

Developed an end-to-end STT -> RAG -> TTS architecture for voice-first support experiences, including constrained decoding strategies to improve response quality and speech naturalness.

Localization and Deterministic Testing Systems

Autonomous Systems Factor Graphs SIL Frameworks

Engineered software modules for high-precision localization and deterministic software-in-the-loop validation, reinforcing reliability expectations for safety-critical environments.