Dhiraj
Kalyan, Konkan Division, Maharashtra, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: AWS, Django, Docker, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, Notion, NumPy, pandas, Python, Python3, scikit-learn, TensorFlow
Previously worked at: Startups
Assessment Score: 53
- Educational Background: Currently pursuing a Bachelor of Science in Computer Science at B.K. Birla College of Arts, Science & Commerce (2021-2024). Coursework includes AI, Machine Learning, Advanced Python Programming, Cloud Computing, and Ethical Hacking, with hands-on experience in diverse technologies and applications.
- Certifications: AWS Certified Machine Learning Engineer Associate, enhancing expertise in cloud services and machine learning model deployment, specifically on AWS platforms like Sagemaker, EC2, and Lambda.
- Machine Learning Expertise: Proficient in supervised learning algorithms (Linear Regression, SVM, etc.), NLP techniques (sentiment analysis, text generation, BERT, GPT), and computer vision models (CNN, Vision Transformers, image segmentation), with a focus on implementing these techniques for real-world applications.
- Work Experience: Freelance Machine Learning Developer since 2024, specializing in developing and deploying custom Python APIs on cloud platforms such as AWS and Google Cloud. Hands-on experience with API integration, cloud hosting, and automating deployment processes through CI/CD pipelines.
- Project Highlights: Successfully implemented advanced machine learning solutions such as fine-tuning large language models for math word problems, deploying image classification models on AWS Sagemaker, and hosting stable diffusion models for image generation. Additionally, engaged in complex tasks like Retrieval-Augmented Generation (RAG) and large-scale model hosting on cloud platforms.
- Cloud and Deployment Expertise: Experienced in deploying and managing machine learning models on cloud infrastructures like AWS Sagemaker and Google Cloud. Expertise in building scalable and efficient cloud solutions, integrating APIs with cloud services, and ensuring high performance and reliability for machine learning projects.