Hi, I'm Adarsh Ajit
Salehittal
AI & Machine Learning Engineer
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Technologies
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Curiosity
AI & Machine Learning Engineer
I'm Adarsh Ajit Salehittal, a passionate AI/ML engineering student at MS Ramaiah University of Applied Sciences, Bengaluru. Currently in my 4th semester of B.Tech in Artificial Intelligence and Machine Learning with a CGPA of 9.43.
I am deeply fascinated by the intersection of deep learning, generative AI, and real-world problem solving. From building neural networks to exploring LLMs and transformers, I constantly push myself to work on impactful projects.
I actively practice on competitive platforms like LeetCode and Kaggle, and I'm always learning modern DevOps tools like Docker and Kubernetes to round out my engineering skills.
Technologies and tools I work with
Real-world projects in ML, AI, and Web Development
A real-time web-based platform to book and track ambulance requests. Features a user-friendly interface, backend booking logic, and integrated user data management system.
Multiple supervised learning projects exploring classification and regression tasks using Scikit-learn, XGBoost, and statistical modeling on real-world datasets from Kaggle.
Deep learning experiments with ANN, CNN, and RNN architectures using TensorFlow. Explored image classification, sequence modeling, and early-stage generative AI with GANs.
Exploring Natural Language Processing with transformers and large language models. Hands-on projects in text classification, sentiment analysis, and understanding LLM architectures.
Where I'm building my foundation
Milestones and recognitions along the way
Continuously exploring real-world AI/ML applications and staying up to date with the latest research and tools.
Practiced algorithmic problems on LeetCode and data science challenges on Kaggle to sharpen problem-solving skills.
Built multiple mini and major projects spanning Machine Learning, Deep Learning, and full-stack web applications.
Participated in hackathons and technical events, collaborating with teams to build innovative solutions under pressure.
Continuously upskilling in modern deployment tools including Docker and Kubernetes for production-ready AI systems.
Passionate about contributing to open source projects and giving back to the developer community through GitHub.
Open to collaborations, internships, and interesting projects
Whether you have a project idea, an opportunity, or just want to talk AI — feel free to reach out anytime!