Dorna Vineeth — AI Researcher
Tech enthusiast who loves to learn by building. Currently cooking high quality data for ML training at Datology. Developed open-source tools for LLM unlearning, data programming, and built deployable products for e-commerce search & molecule discovery.
Stackforce AI infers this person is a skilled AI/ML professional with expertise in healthcare and semiconductor industries.
Experience: 3 yrs
Skills
- Generative Adversarial Networks (gans)
- Computer Vision
- Open-source Software
- Large Language Models (llm)
- Generative Ai
- Diffusion
- Nlp
- Neural Language Models
- Information Retrieval
- Natural Language Processing (nlp)
- Drug Discovery
- Recommender Systems
Career Highlights
- Expert in developing generative models for healthcare.
- Proficient in large language models and NLP techniques.
- Strong background in open-source software development.
Work Experience
DatologyAI
Member of Technical Staff (9 mos)
KLA
Machine Learning Intern - Part Time (8 mos)
Machine Learning Intern (3 mos)
Carnegie Mellon University
Graduate Student Researcher (8 mos)
Amazon
Graduate Student Researcher (3 mos)
Molecule AI
Research Consultant (10 mos)
University of Massachusetts Amherst
Graduate Researcher (3 mos)
KnowDis Data Science
Data Scientist (1 yr)
Wadhwani AI
Associate Machine Learning Scientist - I (0 mo)
Indian Institute of Technology, Bombay
Undergraduate Teaching Assistant (4 mos)
Adobe
Research Intern (2 mos)
epiFi
Data Scientist (1 mo)
Artha Energy Resources
Back End Developer (2 mos)
Falkonry
Software Engineer (0 mo)
Education
Master of Science - MS at University of Massachusetts Amherst
Bachelor of Technology - BTech at Indian Institute of Technology, Bombay
