Shreevats Dhyani
Machine Learning / Data Science Engineer & Software Developer
About Me
I'm a dedicated Machine Learning and Data Science Engineer with a knack for software development. I specialize in crafting intelligent, data-driven solutions to tackle real-world challenges, leveraging pioneering technologies to deliver impactful results.
Featured Projects
Here are some of my recent projects that showcase my skills and expertise.
Goofy Music
Your personalized music streaming platform with a sleek interface, powerful player, and seamless authentication for an unmatched listening experience.
ECG Anomaly Detection using Autoencoders
Autoencoder-based ECG anomaly detection using TensorFlow/Keras.
Malicious URL Detector
A web app using AI to detect malicious URLs, offering a secure and user-friendly browsing experience.
Work Experience
My professional journey and achievements.
AI Tech Intern
INDOEUROPEANS (India) PRIVATE LIMITED
- Fine-tuned Large Language Models (LLMs) and image generation models to address domain-specific business requirements.
- Designed and implemented end-to-end Generative AI solutions, contributing to the company's AI-driven product innovations.
Software Developer Intern
IWINTU Global Services Pvt Ltd
- Developed and maintained software applications, producing clean, efficient, and well-documented code.
- Diagnosed and resolved software issues; participated in code reviews and technical discussions to deliver high-quality outputs.
- Applied industry-standard tools and techniques, advancing skills through real-world projects, mentorship, and performance evaluations.
AI Intern
IBM SkillsBuild
- Gained hands-on experience in AI, Generative AI, and Machine Learning, including chatbot design with IBM Watson Assistant.
- Earned certifications and enhanced skills through expert-led masterclasses and real-world projects.
Achievements
Recognition and milestones in my professional journey.
Research Paper Presentation at ICAPIE-2024 International Conference
August 2024
Authored and presented a research paper on 'Advancing Healthcare in Industry 4.0: Machine Learning Applications' at the 8th International Conference on Advanced Production and Industrial Engineering (ICAPIE 2024), exploring AI-driven solutions for modern healthcare systems.
Research Paper Presentation at ICARI-2025 International Conference
February 2025
Authored and presented a research paper titled 'Autoencoders for ECG Anomaly Detection: A Comprehensive Survey' at the 11th International Conference on Advanced Research and Innovation (ICARI 2025), exploring deep learning architectures for early detection of cardiac irregularities.