Akash Mittal — Lead ML Engineer
I have 5+ years of experience working on large scale machine-learning systems and data analysis tasks (AutoML platform, Big Data, Recommender systems, Time series analysis, Representation learning, Computer Vision) in various environments including academic research, as well as industry. I love to build end to end systems/services that solve real world engineering problems. In the past, I have published my work at top conferences in Machine Learning like NeurIPS. I have authored several patents as well.
Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and IoT applications.
Location: San Francisco, California, United States
Experience: 6 yrs 4 mos
Skills
- Machine Learning
- Computer Vision
- Research And Development (r&d)
- Product Development
- Applied Machine Learning
- Big Data
- Data Analysis
- Recommender Systems
- Geographic Information Systems (gis)
Career Highlights
- 5+ years in machine learning and data analysis.
- Published work at top conferences like NeurIPS.
- Authored multiple patents in computer vision.
Work Experience
Microsoft AI
Member of Technical Staff (9 mos)
Verkada
Senior Software Engineer (1 yr 6 mos)
Samsung Research America (SRA)
Research Engineer (3 mos)
University of Illinois Urbana-Champaign
Graduate Research Assistant (1 yr 4 mos)
Samsung Electronics
Deploy Team - Location based intelligent services (1 yr 5 mos)
Data Intelligence Team (1 yr 4 mos)
National University of Singapore
Research Intern (2 mos)
Samsung Electronics
Intern (2 mos)
Purdue University
Research Intern (2 mos)
Indian Institute of Technology, Delhi
Design Innovation Summer Award (DISA) (2 mos)
Education
Bachelor of Technology - BTech at Indian Institute of Technology, Delhi
Master of Science - MS at University of Illinois Urbana-Champaign
