Saadhikha Shree Suresh

As a passionate Machine Learning Engineer, I work at the intersection of ML systems, computer vision, cloud computing, and data-driven decision-making. With my Master’s in Electrical and Computer Engineering from Carnegie Mellon University, I specialize in deploying scalable machine learning solutions, optimizing model performance (experimentation and inferential testing), and building production-grade AI pipeline With hands-on experience across AI/ML, cloud platforms, and distributed systems, I have worked on: 🔹 AI-driven real-time multilingual dubbing using GPT models, Docker, and Kubernetes at Vosyn Inc. 🔹 Prediction markets simulation with reinforcement learning during my research stint at University of Waterloo. 🔹 End-to-end recommendation system deployment and speech recognition distillation as part of my academic projects. I am deeply interested in HCI, cloud computing, and IoT, and I enjoy tackling real-world problems through innovative ML solutions. My toolkit includes Python, PyTorch, TensorFlow, Docker, GCP, AWS, CI/CD pipelines, and monitoring tools like Prometheus & Grafana. Beyond technical work, I’ve won hackathons, published research, and mentored juniors. I’m always eager to collaborate on AI/ML projects, research opportunities, and tech innovations. Let’s connect! 🚀