StyleTalker - Persona AI Agent
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Summary
Engineered a real-time conversational AI agent capable of replicating emotional tone and human dialogue flow through advanced language models and voice synthesis.
About
Highly motivated Computer Science student specializing in Artificial Intelligence, with a 3.9/4.0 GPA and practical experience in developing and deploying advanced ML/AI solutions. Proven ability to leverage expertise in deep learning, natural language processing, and cloud systems to create innovative applications, optimize performance, and drive measurable efficiency gains. Eager to apply strong technical skills and leadership experience to challenging ML Engineer or AI Developer roles.
Work
UNT
|Supplemental Instructor
Denton, Texas, US
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Summary
Provided comprehensive instructional support in Python, C++, and algorithms to over 50 students, significantly enhancing academic performance and problem-solving capabilities.
Highlights
Mentored 50+ students in Python, C++, and algorithms, contributing to a 15% improvement in overall class performance and fostering deeper understanding.
Designed and led targeted coding sessions and review workshops, effectively strengthening students' analytical and problem-solving skills for complex challenges.
AVTAR INC.
|ML Engineer Intern
Richardson, Texas, US
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Summary
Spearheaded the development and fine-tuning of advanced AI voice agents for personalized human-like interactions, significantly optimizing performance and stylistic fidelity.
Highlights
Developed a personalized AI voice agent by integrating LoRA fine-tuned Gemma LLM, FasterWhisper, Qwen-Audio LLM, and F5-TTS, replicating human tone, pace, and emotion in real-time with memory-driven dialogue.
Fine-tuned Gemma and Qwen-Audio models using Hugging Face's PEFT library, achieving a 20% improvement in stylistic fidelity and optimizing inference latency to <2.5 seconds.
UNT
|Software Developer Assistant
Denton, Texas, US
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Summary
Engineered a Flask-based automation dashboard, integrating AWS and SQL to streamline analytics workflows and enhance backend performance.
Highlights
Developed a Flask-based automation dashboard, integrating AWS and SQL to streamline analytics workflows and improve operational efficiency by 18%.
Optimized backend performance through strategic caching and modular architecture, resulting in a 30% reduction in query load times.
Education
University of North Texas
Denton, Texas, United States of America
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Bachelor of Science
Computer Science – Artificial Intelligence Concentration
Grade: 3.9/4
Courses
Machine Learning
Deep Learning
Natural Language Processing
Cloud Computing
Distributed Systems
Computer Networks
Software Engineering
Data Structures & Algorithms
Linear Algebra
Awards
UNT Python Hackathon Winner
Awarded By
UNT
Awarded for developing a Python automation application that optimized real-time workflow with a teammate.
AI Project Lead
Awarded By
Avtar Inc.
Recognized for leading the implementation of StyleTalker, LoRA fine-tuning, and FasterWhisper integration at Avtar Inc.
Mentor - UNT SI Program
Awarded By
UNT
Acknowledged for guiding over 50 students in Machine Learning fundamentals and Python problem-solving within the UNT SI Program.
Languages
English
Skills
Programming & ML Frameworks
Python, C++, Java, PyTorch, TensorFlow, Keras, Hugging Face (Transformers, PEFT, Accelerate), scikit-learn.
Speech, Audio & NLP
Whisper, StyleTalker, TTS, TorchAudio, voice cloning, style embeddings, LLM fine-tuning, Natural Language Processing, Deep Learning, Machine Learning.
Data & Cloud Systems
Data preprocessing, ETL, Spark, AWS (EC2, S3, SageMaker), GCP, Docker, Kubernetes, Airflow, SQL, Distributed Systems, Cloud Computing.
Optimization & Deployment
Quantization (INT8, bf16), gradient checkpointing, distributed training, CI/CD, version control, inference latency reduction, A/B testing, cross-validation, model drift, latency/error analysis, word error rate (WER), real-time performance monitoring.
Libraries
Pandas, NumPy, Matplotlib, Bootstrap, TensorFlow, jQuery, Redux, Google Maps API, Dijkstra's Algorithm.
Software Engineering Principles
Software Engineering, Data Structures & Algorithms, Computer Networks, Linear Algebra, Problem-solving, Analytical Skills.
Projects
Smart Campus Navigator
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Summary
Designed and implemented a real-time campus navigation system leveraging graph optimization algorithms and mapping APIs.
AWS Deep Racer Reinforcement Learning
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Summary
Developed and trained a reinforcement learning agent to optimize autonomous vehicle performance on a simulated track.
Warehouse Automation System
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Summary
Developed a predictive machine learning scheduler to optimize warehouse operations and resource allocation.