Ekaghni Mukherjee — Software Engineer
Skilled in building and deploying ML models with RNNs, CNNs, RL, RLHF, GANs, and frameworks TensorFlow, PyTorch, scikit-learn, chainer etc. Experienced in optimizing computations with CUDA and managing environments with Docker, Kubernetes, Ansible, etc. Also, a passionate Android developer with 2 years of experience.
Stackforce AI infers this person is a skilled developer in AI and mobile technologies.
Location: New Delhi, Delhi, India
Experience: 3 yrs 8 mos
Skills
- Machine Learning
- Deep Learning
- Android Development
- Cloud Computing
- Supply Chain Management
- Mobile Development
Career Highlights
- Expert in building and deploying advanced ML models.
- Proficient in Android development with hands-on experience.
- Strong background in cloud computing and containerization.
Work Experience
Telaverge Communications
Research Development Software Engineer (1 yr 10 mos)
Software Engineer Intern (7 mos)
Persistent Systems
Summer Intern (3 mos)
Cre Innovations
Android Developer (1 yr 3 mos)
Fodrix
Android Developer (2 mos)
Flipkart
Supply Chain Management (1 mo)
Google Developer Student Clubs
Android Developer (1 yr 3 mos)
Education
Bachelor of Technology - BTech at Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT
at Bal Bhavan Public School
