I am a passionate Artificial Intelligence Engineer and machine learning enthusiast currently pursuing my M.S. in Computer Science with a concentration in Machine Learning at George Mason University. With a strong foundation in programming and hands-on experience in deploying scalable AI solutions, I enjoy transforming innovative ideas into practical applications that enhance user experiences and operational efficiency. I thrive on tackling complex challenges in vision-language modeling, prompt engineering, and autonomous agents. Driven by continuous learning and research, I have contributed to impactful projects including AI surveillance platforms and personal voice assistants, leveraging state-of-the-art models like LLaMA and HuggingFace Transformers. I am dedicated to refining AI systems, improving accuracy, and building robust, real-time, and user-centric applications that make a difference in diverse environments.

Dhanush Dabbiru

I am a passionate Artificial Intelligence Engineer and machine learning enthusiast currently pursuing my M.S. in Computer Science with a concentration in Machine Learning at George Mason University. With a strong foundation in programming and hands-on experience in deploying scalable AI solutions, I enjoy transforming innovative ideas into practical applications that enhance user experiences and operational efficiency. I thrive on tackling complex challenges in vision-language modeling, prompt engineering, and autonomous agents. Driven by continuous learning and research, I have contributed to impactful projects including AI surveillance platforms and personal voice assistants, leveraging state-of-the-art models like LLaMA and HuggingFace Transformers. I am dedicated to refining AI systems, improving accuracy, and building robust, real-time, and user-centric applications that make a difference in diverse environments.

Available to hire

I am a passionate Artificial Intelligence Engineer and machine learning enthusiast currently pursuing my M.S. in Computer Science with a concentration in Machine Learning at George Mason University. With a strong foundation in programming and hands-on experience in deploying scalable AI solutions, I enjoy transforming innovative ideas into practical applications that enhance user experiences and operational efficiency. I thrive on tackling complex challenges in vision-language modeling, prompt engineering, and autonomous agents.

Driven by continuous learning and research, I have contributed to impactful projects including AI surveillance platforms and personal voice assistants, leveraging state-of-the-art models like LLaMA and HuggingFace Transformers. I am dedicated to refining AI systems, improving accuracy, and building robust, real-time, and user-centric applications that make a difference in diverse environments.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

Javanese
Advanced
Amharic
Advanced

Work Experience

AI Foundational Engineer – Kairos Project at Independent Project / Research Initiative
June 1, 2025 - Present
Built Kairos, a personal voice assistant integrating LLaMA4 Scout, VOSK speech-to-text, and Chatterbox TTS with emotion-driven synthesis for natural, hands-free conversations. Delivered custom zero-shot voices enhancing conversational realism. Designed lightweight modular deployment using Flask and Python supporting rapid AI integrations.
Artificial Intelligence Engineer at Areaprobe
September 1, 2024 - Present
Designed and deployed Resident’s View (Resi), an AI surveillance platform performing real-time motion detection, contextual scene description using LLaMA 3.2 Vision 11B, and alert streaming to over 100 endpoints. Enhanced user engagement through integration of Kokoro TTS. Benchmarked and optimized vision-language models achieving 25% improved accuracy. Applied advanced prompt engineering and fine-tuned hyperparameters to reduce hallucinations and improve summarization coherence. Developed a scalable RAG system for document retrieval with sub-200ms latency and engineered the full-stack deployment with secure APIs and mobile compatibility. Developed multiple AI tools within the Resi Suite including real-time weapon detection, multi-stage license plate recognition pipeline, and facial recognition with sub-100ms verification.

Education

M.S. in Computer Science at George Mason University
August 1, 2023 - May 1, 2025
B.S. in Computer Science at GITAM University
June 1, 2019 - April 1, 2023

Qualifications

Microsoft Certified: Azure AI-900
January 11, 2030 - August 18, 2025
AWS Cloud Practitioner: CLF-C02
January 11, 2030 - August 18, 2025
AWS AI Practitioner: AIF-C02
January 11, 2030 - August 18, 2025

Industry Experience

Software & Internet, Computers & Electronics, Professional Services, Education, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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