Ashish Shugani — AI Researcher
• 4+ years of experience in Machine Learning Engineering and Data Science, with a Master’s degree from Carnegie Mellon University’s School of Computer Science (CMU-SCS). • Worked on fine-tuning LLMs, implementing RAG systems, designing Recommendation Systems, and building scalable data pipelines for ML applications. • Technical proficiencies include Python, PyTorch, PySpark, Java, Pandas, and SQL, with hands-on experience in cloud and DevOps technologies such as AWS, Jenkins, Docker, and Kubernetes • Quick to adapt to diverse situations and an effective communicator
Stackforce AI infers this person is a Machine Learning Engineer with expertise in AI and Data Science.
Location: San Francisco, California, United States
Experience: 5 yrs 5 mos
Skills
- Natural Language Processing (nlp)
- Deep Learning
- Generative Ai
- Ml Devops
- Machine Learning
- Model Deployment
Career Highlights
- 4+ years in Machine Learning Engineering and Data Science.
- Expert in fine-tuning LLMs and designing scalable data pipelines.
- Strong technical proficiency in Python, PyTorch, and AWS.
Work Experience
Meta
Machine Learning Engineer (1 yr 3 mos)
Machine Learning Engineer (1 yr 3 mos)
Capital One
Principal Data Scientist (3 mos)
Senior Data Scientist (10 mos)
Carnegie Mellon University School of Computer Science
Research Engineer, Machine Learning (8 mos)
Sabre Corporation
Software Engineer III, Machine Learning (3 yrs 1 mo)
Intern (5 mos)
Siemens
Data Science Intern (1 yr 1 mo)
Philips Lighting
Data Science Intern (1 mo)
Education
Masters at Carnegie Mellon University School of Computer Science
Bachelor of Technology (B.Tech.) at B. M. S. College of Engineering
