Neelesh Khanna — Director of Engineering
Building, deploying, measuring and improving large scale Machine Learning models and algorithms in real-world products. Deep Learning (DL), Probabilistic and Statistical Models, Nature Language Understanding (NLU), Large Language Models (LLM), Generative Models (Gen AI), Large Model Optimization & Distillation, ML-Ops, Vision Models as well as Software Systems and Design
Stackforce AI infers this person is a Machine Learning and Data Science expert with extensive experience in large-scale applications.
Location: Bengaluru, Karnataka, India
Experience: 16 yrs 3 mos
Skills
- Machine Learning
- Deep Learning
Career Highlights
- Expert in building large scale Machine Learning models.
- Proven leadership in managing data science teams.
- Strong background in Deep Learning and NLU technologies.
Work Experience
Walmart
Diector Data Science - Walmart Ads (1 yr 2 mos)
Microsoft
Principal Scientist Manager -Microsoft Ads (4 yrs 6 mos)
Senior Data and Applied Scientist (3 yrs 1 mo)
Walmart Labs
Staff Software Engineer (3 yrs 5 mos)
Guavus
SSE (2 yrs 5 mos)
Flipkart Pvt Ltd
SDE (10 mos)
Oracle
MTS (11 mos)
Helsinki Institute for Information Technology
Research Internship (2 mos)
Education
B.Tech at Indian Institute of Technology, Kanpur
at IIT