Ajeet Kumar — Senior Software Engineer
• Extensive experience in Wireless Modem development • Solid understanding of Deep Learning and ML models on edge devices • Granted 5 US patents and in other jurisdictions • Experience in Big Data/AI on AWS cloud • eCall EU/ERA-GLONASS/NG eCall development expert • Machine Learning by Stanford University on Coursera. • Machine Learning A-Z™: Hands-On Python & R In Data Science • Neural Networks and Deep Learning through deeplearning.ai • Complete Guide to TensorFlow for Deep Learning with Python • Exposure on Python | R | Octave • Leading eCall Module development effort across sites. • Good knowledge on using IoT boards to achieve Home Automation and other functionalities (Raspberry pi) • Worked as a developer in LTE MAC L2 layer. Involved in ICIC feature. • Worked as developer in Diameter Signaling Router (DSR) Project (in Diameter protocol). • Good Understanding on LTE network, different interfaces among different nodes in LTE. • Very Good Exposure on Web Development and hosting. • Good Understanding in Linux, Networking, OOPs fundamentals.
Stackforce AI infers this person is a Telecommunications expert with a strong focus on Wireless Networks and AI integration.
Location: Bengaluru, Karnataka, India
Experience: 15 yrs 9 mos
Skills
- 5g
- Big Data
- Ecall
Career Highlights
- Granted 5 US patents in wireless technology.
- Expert in eCall development for EU and GLONASS.
- Solid experience in Big Data and AI on AWS.
Work Experience
Senior Software Engineer (2 yrs 3 mos)
Qualcomm
Staff Engineer (3 yrs 4 mos)
Senior Lead Engineer (2 yrs 11 mos)
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Software Engineer (11 mos)
Software Engineer (9 mos)
Software Engineer (8 mos)
Intern (5 mos)
Education
Master of Computer Applications (MCA) at BIT Mesra Student-Industry Relations Cell