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hemanth
Software Engineer @ Ford Motor Company | AWS Cloud Solutions | GCP | Azure | AI
About
Hemanth Kumar is a highly skilled Cloud Consultant at Deloitte with a specialization in Python, Data Science, AI/ML, AWS, Azure, Salesforce, Mule, Kafka, and many more. He is a GCP Certified Cloud Engineer, Azure Certified Data Engineer, and has expertise in ML-Ops. Hemanth's fascination with software engineering has driven his passion for developing coding skills in Python and practical software applications. He has enrolled in various learning and development programs to increase his skillset and has successfully developed and deployed software applications. As a Cloud Consultant at Deloitte, Hemanth has worked with various clients, resolving issues, blockers, and managing projects from development to go-live. He has received appreciation for completing tasks assigned and effectively communicating with clients. Hemanth's past experiences include working as a Python Developer Trainer at Lucid IT Training, where he trained almost three batches on Python, from basic concepts to deploying projects in real-time. He has also worked as an Integration Consultant at Enique Solutions ®, where he designed and deployed Sentimental Analysis APIs using Microsoft Azure. Hemanth holds a Bachelor of Technology degree in Electronics and Communications Engineering from Jawaharlal Nehru Technological University (JNTU). He has a relevant experience of 5.11 years and is proficient in a wide range of tech stacks, including AWS, ML, AI, Data Engineering, Kafka, Azure, Salesforce, GCP, Python, Data Scientist, Integration, and Backend. Apart from his work, Hemanth loves collaborating and connecting with people, consuming tech content, reading books, hiking, traveling, and listening to music on Spotify. He is always excited to connect with new people and is looking forward to meeting them.
Education Overview
• cvr college of engineering hyderabad
Companies Overview
• ford
• deloitte
• lucid it training
• enique solutions
• cognizant
Experience Overview
5.7 Years
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