Aman Kansal — AI Researcher
Machine learning engineer with expertise in AI, currently building at Parallel as an early engineer. My research in AI has been published in top-tier conferences including NeurIPS and ICASSP. I hold a Master's in Computer Science (AI concentration) from Stanford and a Bachelor's in Computer Science from IIT Bombay. I'm driven by solving complex technical challenges and developing innovative AI solutions that create meaningful impact. Open to collaborating with fellow researchers and engineers passionate about pushing the boundaries of AI.
Stackforce AI infers this person is a highly skilled AI engineer with a focus on machine learning and natural language processing.
Location: Stanford, California, United States
Experience: 5 yrs 9 mos
Skills
- Natural Language Processing (nlp)
- Machine Learning
- Artificial Intelligence (ai)
- Computer Networking
- Operating Systems
- Deep Learning
- Computer Architecture
- Databases
- Data Science
- Predictive Modeling
- Computer Vision
Career Highlights
- Published research in top-tier AI conferences.
- Expertise in developing innovative AI solutions.
- Strong background in teaching and mentoring.
Work Experience
Parallel Web Systems Inc.
Member of Technical Staff (1 yr 4 mos)
Granica
Machine Learning Engineer (4 mos)
Stanford University
Teaching Assistant (3 mos)
Teaching Assistant (3 mos)
Teaching Assistant (3 mos)
Head TA (3 mos)
Teaching Assistant (3 mos)
Teaching Assistant (3 mos)
Granica
Machine Learning Engineer (3 mos)
Samsung Electronics
Software Engineer (1 yr)
Uplara
Machine Learning Intern (2 mos)
Samsung Electronics
Software Engineering Intern (1 mo)
Inria
Research Intern (3 mos)
Indian Institute of Technology, Bombay
Teaching Assistant (2 yrs 4 mos)
Kwench - Employee Engagement Redefined
Machine Learning Intern (2 mos)
Education
Master of Science - MS at Stanford University
Bachelor's degree at Indian Institute of Technology, Bombay
High School at Cambridge Court High School - India