Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am a multidisciplinary AI Engineer with over six months of hands-on experience at ICOG-LABS, specializing in AGI research and full-stack AI product development. I am passionate about leveraging my skills in machine learning, Python, and scalable system design to solve innovative challenges in audio signal processing, generative audio AI, and music information retrieval. I excel at rapidly prototyping and deploying machine learning models in production environments. I have experience developing consensus-based validation techniques that reduce false positives and building efficient full-stack applications with real-time large language model inference. I thrive in collaborative environments where I can present R&D progress, contribute to product roadmaps, and mentor junior developers. My technical expertise spans AI, full-stack development, QA automation, and cloud deployment, complemented by a solid foundation in software engineering and machine learning from my academic background and ongoing certification efforts.…I am a multidisciplinary AI Engineer with over six months of hands-on experience at ICOG-LABS, specializing in AGI research and full-stack AI product development. I am passionate about leveraging my skills in machine learning, Python, and scalable system design to solve innovative challenges in audio signal processing, generative audio AI, and music information retrieval. I excel at rapidly prototyping and deploying machine learning models in production environments. I have experience developing consensus-based validation techniques that reduce false positives and building efficient full-stack applications with real-time large language model inference. I thrive in collaborative environments where I can present R&D progress, contribute to product roadmaps, and mentor junior developers. My technical expertise spans AI, full-stack development, QA automation, and cloud deployment, complemented by a solid foundation in software engineering and machine learning from my academic background and ongoing certification efforts.

Tesfalegn Petros

AI Engineer, Full Stack Developer, Developer, +1





I am a multidisciplinary AI Engineer with over six months of hands-on experience at ICOG-LABS, specializing in AGI research and full-stack AI product development. I am passionate about leveraging my skills in machine learning, Python, and scalable system design to solve innovative challenges in audio signal processing, generative audio AI, and music information retrieval. I excel at rapidly prototyping and deploying machine learning models in production environments. I have experience developing consensus-based validation techniques that reduce false positives and building efficient full-stack applications with real-time large language model inference. I thrive in collaborative environments where I can present R&D progress, contribute to product roadmaps, and mentor junior developers. My technical expertise spans AI, full-stack development, QA automation, and cloud deployment, complemented by a solid foundation in software engineering and machine learning from my academic background and ongoing certification efforts.…I am a multidisciplinary AI Engineer with over six months of hands-on experience at ICOG-LABS, specializing in AGI research and full-stack AI product development. I am passionate about leveraging my skills in machine learning, Python, and scalable system design to solve innovative challenges in audio signal processing, generative audio AI, and music information retrieval. I excel at rapidly prototyping and deploying machine learning models in production environments. I have experience developing consensus-based validation techniques that reduce false positives and building efficient full-stack applications with real-time large language model inference. I thrive in collaborative environments where I can present R&D progress, contribute to product roadmaps, and mentor junior developers. My technical expertise spans AI, full-stack development, QA automation, and cloud deployment, complemented by a solid foundation in software engineering and machine learning from my academic background and ongoing certification efforts.

Available to hire

I am a multidisciplinary AI Engineer with over six months of hands-on experience at ICOG-LABS, specializing in AGI research and full-stack AI product development. I am passionate about leveraging my skills in machine learning, Python, and scalable system design to solve innovative challenges in audio signal processing, generative audio AI, and music information retrieval. I excel at rapidly prototyping and deploying machine learning models in production environments. I have experience developing consensus-based validation techniques that reduce false positives and building efficient full-stack applications with real-time large language model inference.

I thrive in collaborative environments where I can present R&D progress, contribute to product roadmaps, and mentor junior developers. My technical expertise spans AI, full-stack development, QA automation, and cloud deployment, complemented by a solid foundation in software engineering and machine learning from my academic background and ongoing certification efforts.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Amharic

Fluent

Work Experience

AI Engineer Intern at ICOG-LABS

August 31, 2025 - August 21, 2025

During my 6-month internship at ICOG-LABS from March to August 2025, I developed a consensus-based validation system using Dual-LLMs (GPT-4 + Claude), reducing false positives by 35%. I benchmarked cost versus latency trade-offs across five LLMs. I built a full-stack AI product with React and FastAPI serving real-time LLM inference, deploying it on AWS Lambda with auto-scaling from 1,000 to 10,000 users. I also created automated QA pipelines with Playwright and integrated CI/CD workflows testing hallucination rates on every PR. Additionally, I presented bi-weekly R&D reports to leadership, influenced the product roadmap, and mentored two junior developers on LLM integration best practices.

AI Engineer Intern at ICOG-LABS

August 31, 2025 - August 21, 2025

During my 6-month internship, I contributed to Dual-LLM research by developing a consensus-based validation system combining GPT-4 and Claude, which reduced false positives by 35%. I benchmarked cost versus latency trade-offs across multiple LLMs, including Llama-2, GPT-4, and Claude-3. I built a full-stack AI product using React and FastAPI that served real-time LLM inference with Redis caching, improving speed by 40%, and deployed it on AWS Lambda with auto-scaling capabilities for up to 10,000 users. I created automated QA pipelines with Playwright and integrated CI/CD workflows to track hallucination rates on every pull request. Additionally, I presented bi-weekly R&D reports to leadership, influencing the product roadmap, and mentored two junior developers on best practices for LLM integration.