Software Engineer — Full-Stack, AI & Game Development
I build scalable products and interactive systems across mobile, web, AI, and games. My work spans Flutter, Unity, Unreal Engine, machine learning, and real-time data systems, with a focus on performance, thoughtful UX, and clean architecture.
I am a software engineer and game developer focused on building reliable, engaging products. At InZone, I work across Flutter, 3D avatar systems, Unity rendering, AI chatbots, and Firestore-backed experiences. Alongside product work, I teach algorithms and game programming at the University of Maryland and explore applied machine learning through research.
Projects
Polished slices with proof: demos, metrics, and short write-ups.
✨ Spotlight
Dhammapada — Unity FPS Dungeon Game
Gameplay/AI/Systems (Team Lead)
Immersive first-person dungeon crawler with custom enemies, traps, weapons, and boss encounters. Built end-to-end by a 3-person team with zero external assets—all 3D models created in Blender from scratch.
A dynamic Flying game built with Unreal Engine and published on itch.io. Features engaging gameplay mechanics and immersive visuals as you navigate through challenging environments to explore.
Unreal EngineGame DevelopmentAction
Core gameplay mechanics focused on responsive controls and fluid movement
Polished visuals and effects for an immersive player experience
Published on itch.io with positive community reception
Built with Unreal Engine for AAA-quality performance and visual fidelity
Crown, Fire & Conquest — In-Progress Strategy Game
Real-time strategy game inspired by Age of Empires and Age of Mythology. Features multi-unit selection, RTS-style controls, dynamic combat, enemy AI, and a building placement system with visual feedback.
Unreal Engine Action-Adventure (3rd Person)
Narrative-driven desert world with exploration, combat, UI flows, day–night cycle, and populated NPC behaviors.
Memory Dive — Cross-Platform VR & PC Co‑Op Mystery
Server-authoritative multiplayer (Photon Fusion) with asymmetric PC+VR roles, XR Interaction Toolkit, and puzzle-driven environments.
B-Tree Implementation
Implemented and optimized a B-tree data structure (order m ≥ 3) in Python with high-performance operations and robust balancing.
🧠 AI-Driven Spinal Condition Classification
Developed an end-to-end KNN-based machine learning model to classify spinal conditions from six biomechanical attributes.
Professional Experience
Ownership, innovation, and shipping features end-to-end.
Collaborated on building InZone, a personalized AI social app (7,500+ downloads); implemented cross-platform Flutter UI/UX supporting thousands of concurrent sessions.
Built and optimized a 3D avatar asset pipeline (glTF/GLB) with mobile performance tuning and engineered scalable feed experiences combining Unity real-time rendering with pre-rendered loops.
Integrated GPT-based AI chatbots and prompt engineering to boost engagement time by 30%+, and implemented Firestore with advanced queries for real-time data sync across 7,500+ users.
Department of Computer Science, University of Maryland — Teaching Assistant
Feb 2025 - Present
TA for CMSC351 (Algorithms) and CMSC425 (Game Programming): assessed and graded assignments/exams for 300+ students, providing constructive feedback that improved student engagement.
Held 50+ office hours covering algorithm analysis, graph/sorting techniques (CMSC351) and Unity gameplay systems & debugging (CMSC425).
University of Maryland — Research Assistant
Feb 2025 - Sep 2025
Fine-tuned Qwen2.5-1.5B with LoRA and built a custom RAG pipeline for CFA exam, BloombergGPT, and XBRL tasks to develop high-accuracy financial analytics agents.
Improved model accuracy by 18–22% on CFA Level I question sets (from ~63% to ~77%) and achieved F1 scores above 85% on Financial Phrasebank sentiment classification.
Ernst & Young — Data Science Intern
Jun 2023 - Jul 2023
Worked on the Strategy & Transaction team to evaluate clients’ strategies and capital agendas; implemented an advanced AI model (logistic regression) achieving 93% accuracy.
Analyzed customer attributes (spending behavior, loan status) to help marketing target high-conversion prospects and assisted the bank in increasing borrower base via targeted loan interest strategies (+56%).
OMSE, University of Maryland — Tutor
Jun 2023 - Present
Delivered tutoring sessions for MATH120/140/141, PHYS121, CMSC131/132 and supported 150+ student hours to improve understanding and performance.
Contact
Open to gameplay/tools roles; happy to share a short reel and builds.