Hi, I'm Elice
Machine Learning Engineer | AI & Signal Processing Enthusiast
🚀 Seeking Summer 2025 ML/AI Internships
About Me
Background
I am a Master's student in Electrical and Computer Engineering at the University of Wisconsin-Madison, specializing in Machine Learning and Signal Processing. I have over three years of experience as a Software Engineer, building AI-driven solutions and scalable ML applications.
My focus areas include Large Language Models (LLMs), Reinforcement Learning, Natural Language Processing (NLP), Deep Learning, and AI for real-world applications. I have worked on fine-tuning LLMs, developing process reward models, and optimizing ML pipelines.
I have contributed to VersaPRM, a multi-domain Process Reward Model (PRM) designed to enhance reasoning across Law, Biology, and Philosophy using Chain of Thought (CoT) reasoning and Monte Carlo Tree Search.
Currently, I am working on BridgeML, an open-source ML knowledge repository, to bridge academic research with industry applications.
Technical Skills
Programming Languages
Machine Learning & AI
ML Frameworks
Development & Tools
Featured Projects
Experience
Independent Study Researcher
Research focus on LLM fine-tuning and Reinforcement Learning for reasoning improvement.
- Fine-tuning LLMs & Reinforcement Learning for reasoning improvement
- Developed synthetic dataset augmentation techniques for AI reasoning evaluation
Software Engineer
Developed AI/ML-based enterprise applications for sustainability and automation.
- Built an NLP-driven chatbot using TAPAS for SQL-based natural language queries
- Created low-code AI tools: PDF Annotation, Process Flow Widgets, Data Visualizations
- Optimized performance & scalability for enterprise software handling high-traffic workloads
- Implemented comprehensive testing strategies using Selenium and Apache JMeter
- Created a Lifecycle Assessment-based recommendation system for sustainable product design
Head of AI/ML Projects
Led AI/ML project initiatives and mentored student teams.
- Led 25+ student teams in AI/ML & Computer Vision projects
- Organized workshops on Deep Learning, NLP, and Reinforcement Learning
- Developed partnerships with local startups for student internship opportunities
Summer Intern
Worked on Advanced Driver Assistance Systems (ADAS) for electric vehicles.
- Developed CNN-based object detection models for real-time road safety features
- Designed real-time Android application architecture with Kafka for ADAS environment
- Improved algorithm performance by 15% through optimization
Education
M.S. in Electrical and Computer Engineering
Specialization: Machine Learning & Signal Processing
- Research: Fine-tuning LLMs, Reinforcement Learning, AI for Reasoning
- Relevant Courses: Matrix Methods in ML, Neural Networks, Digital Image Processing, High-Performance Computing (CUDA)
- Focus Areas: NLP, Reinforcement Learning, and Scalable ML Pipelines
B.Tech in Electronics & Telecommunications
- Senior Project: IoT-based environmental monitoring with real-time data visualization
- Leadership: Technical Secretary, AI/ML Project Lead
- Publications: Ocean Color Data Analysis (JIST), Sea Surface Temperature Analysis (Springer)
Skills
Programming Languages
- Python (Advanced)
- C++
- SQL
- JavaScript/TypeScript
- Node.js
Machine Learning & AI
- Neural Networks
- Natural Language Processing
- Reinforcement Learning
- Feature Engineering
- Transfer Learning
- Optimization Algorithms
AI/ML Frameworks
- TensorFlow
- PyTorch
- Keras
- scikit-learn
- Hugging Face Transformers
- LangChain
Data & Analytics
- Pandas
- NumPy
- Matplotlib
- Seaborn
- SQL
- Apache Spark
Development Tools
- CUDA
- MATLAB
- Kafka
- Docker
- Git/GitHub
- REST APIs
Web Development
- React.js
- Tailwind CSS
- GraphQL
- Flask/Django
- System Design
- Agile/Scrum
Get in Touch
I'm currently seeking ML/AI internship opportunities for Summer 2025. Feel free to reach out if you'd like to discuss potential collaborations or opportunities.