Dinesh
Hyderabad, Telangana, India
Experience: 2 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MongoDB, Python, Python3, PyTorch, TensorFlow
Previously worked at: Product Companies
Assessment Score: 80
- Educational Background: Pursuing a B.Tech in Artificial Intelligence Engineering from Amrita Vishwa Vidhyapeetham (2020-2024). Strong foundational knowledge in AI, machine learning, and deep learning, with an interest in NLP, computer vision, and generative AI.
- Technical Skills: Proficient in Python for professional development, with a basic understanding of Java and object-oriented programming. Specialized in machine learning, deep learning, NLP, computer vision, and generative AI technologies.
- Project Experience: Led impactful projects such as Voice Pathology Detection using Vision Transformers, which achieved a 91% accuracy in pathology detection, and developed a Garment Fitting Virtual Try-On system using Conditional GANs, achieving an FID score of 36.38 for high-quality image generation.
- Research Contributions: Published research on “Water Body Segmentation on Satellite Images” using the DeepLabV3+ model at ASPRS 2023, showcasing expertise in applying deep learning to real-world problems.
- Work Experience: Interned as a Machine Learning Engineer at Bosch Global Software Technologies (Feb 2024 – Jul 2024), where key responsibilities included building conversational AI pipelines and optimizing deep learning models for deployment on edge devices.
- Professional Goals and Capabilities: Eager to contribute to innovative AI projects, leveraging both academic and internship experiences to add value while continuously enhancing technical skills in machine learning and AI application development.