Aman Kedia — Engineering Manager
As George Box once said 'all models are wrong, but some are useful', I am among those who are trying to find these useful models. I am a data enthusiast and lifelong learner. I enjoy solving the problems, whether they are small or big. I am an avid believer in Artificial Intelligence and algorithms supporting it. I have an interest in data science, health care, and languages and I am exploring how these fields are interdependent. Currently, I am working on Named Entity Recognition problems. The past year has been a great learning experience. I worked on some State of the Art problems in Natural Language Processing and established core components such as Kafka for data pipeline in my organization. I interacted with a lot of technology enthusiasts as well, delivering a few sessions on Data Science. I have worked at Oracle and SAP trying to solve problems leveraging the advancements in Artificial Intelligence. Prior to that, I worked at ISRO as an intern on detecting Disease patterns using Machine Learning on Time Series data and consequently clustering similarly behaving regions in Uttarakhand, India. I have 4 published research papers to my credit primarily on the amalgamation of Data Mining and Healthcare. 2 of my other works, also on Healthcare and Machine Learning have been submitted for publication. I use Python for most of my work since it is my go-to language for Data Science. I am fluent in core concepts around Java, Micro-services, Distributed Systems, and some other technologies. I completed my Masters from Birla Institute of Technology and Science in Computer Software Engineering. Please feel free to reach out on LinkedIn. Also, you can connect with me on Gmail: amankedia.sap@gmail.com Or my number: +91 9611853031
Stackforce AI infers this person is a Machine Learning and Software Development expert in Fintech and SaaS industries.
Location: Bengaluru, Karnataka, India
Experience: 9 yrs 6 mos
Skills
- Artificial Intelligence
- Software Development
- Project Management
- Cloud Computing
- Machine Learning
- Natural Language Processing
- Data Science
Career Highlights
- Led cross-functional teams at Amazon for tax compliance solutions.
- Developed state-of-the-art NLP models achieving high accuracy.
- Published multiple research papers on data mining and healthcare.
Work Experience
Amazon
Software Development Manager (2 yrs 4 mos)
Software Development Engineer 3 (1 yr 7 mos)
SDE II / MLE (2 yrs 4 mos)
Packt
Author, Hands-On Python Natural Language Processing (10 mos)
Oracle
Senior Member Of Technical Staff (1 yr 8 mos)
SAP
Scholar | Developer | Machine Learning | Full Stack (1 yr 1 mo)
Scholar | Developer | ABAP | SAP ERP (6 mos)
ISRO - Indian Space Research Organisation
Intern (3 mos)
Education
M.Tech at Birla Institute of Technology and Science, Pilani
Bachelor's Degree at Institute Of Engineering and Management