My Projects
A collection of projects showcasing my work in machine learning, AI research, and software engineering. Each project represents unique challenges in NLP, Voice AI, energy optimization, and multimodal learning.
Featured Projects
Spark NLP Integration
Integrating state-of-the-art LLMs and embedding models into Spark NLP library at John Snow Labs. Contributing to open-source text processing library with 83,000+ pre-trained pipelines and models in 200+ languages.
La Trobe Energy Analytics Platform (LEAP)
AI-driven energy optimization platform reducing carbon emissions with $500K+ in savings. Monitors energy consumption in 100+ smart buildings and makes real-time adjustments using machine learning algorithms.
Bunji Mental Health Chatbot
AI-powered mental health chatbot for anxiety and depression support, recognized as one of the top 6 key research projects at La Trobe University. Fully automated conversational agent delivering self-help programs.
Replica Studios Voice AI
Developed deep learning models for expressive text-to-speech synthesis, improving speech quality and naturalness in AI-generated voices for interactive storytelling and media applications.
All Projects
Spark NLP Integration
Integrating state-of-the-art LLMs and embedding models into Spark NLP library at John Snow Labs. Contributing to open-source text processing library with 83,000+ pre-trained pipelines and models in 200+ languages.
La Trobe Energy Analytics Platform (LEAP)
AI-driven energy optimization platform reducing carbon emissions with $500K+ in savings. Monitors energy consumption in 100+ smart buildings and makes real-time adjustments using machine learning algorithms.
Bunji Mental Health Chatbot
AI-powered mental health chatbot for anxiety and depression support, recognized as one of the top 6 key research projects at La Trobe University. Fully automated conversational agent delivering self-help programs.
Replica Studios Voice AI
Developed deep learning models for expressive text-to-speech synthesis, improving speech quality and naturalness in AI-generated voices for interactive storytelling and media applications.
Driver Guidance System
Real-time taxi demand prediction system using deep learning for Singapore's national taxi fleet. Patent pending methodology for predicting taxi demands to help drivers compete against ride-hailing technologies.
CrowdSim: Large-scale Crowd Simulation
Crowd movement simulation based on real-world data using mobility traces collected via WiFi localization technology. Provides venue operators with decision support tools to enhance visitor experience.
Analytical & Operational Solutions for Crowd-Sourced Delivery
Multi-agent crowd source delivery simulator with near realistic environment. Improved delivery processes and operations to meet increasing e-commerce demand and reduce delivery costs.
Frequency Reserve Bidding Optimization
Energy market optimization project quantifying uncertainty of price forecasting to enable accurate bidding strategies for frequency reserve markets in Finland using reinforcement learning.
Research & Publications
My research focuses on advancing artificial intelligence for multimodal environments with cognitive computing inspired modality independence. I've published in top-tier conferences and journals including IEEE, ACM, and ACL.
• EmoZen: Robust word embedding for implicit and explicit expressions of emotion (IECON 2023)
• M2-CNN: Macro-micro model for taxi demand prediction (IEEE BigData 2023)
• Cloud Edge Architecture: AI and analytics for microgrid energy optimization (HSI 2022)
• Bunji: Mental health chatbot with cognitive skills for behavioral activation (Sensors 2022)
Awards & Recognition
Academic Excellence
• La Trobe University Full Scholarship (2021-2024)
• Best Research Paper Award - HSI 2022
• Top 6 Key Research Projects - La Trobe University
Industry Impact
• Patent Pending: Taxi Demand Prediction System
• $500K+ Energy Savings with LEAP Platform
• 83,000+ Pre-trained Models in Spark NLP