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Jayaram Kollipara
Passionately Curious and Engineering Driven
About
Jayaram Kollipara is an experienced Machine Learning Engineer with a passion for engineering and a strong drive to learn. With over 5 years of relevant experience, he is well-versed in end-to-end Machine Learning tasks, agile methodologies, GUI development, and prototyping. Jayaram is a fast learner, highly organized, and enthusiastic with profound communication skills, making him an asset to any team. Jayaram's skills include ML, NLP, Deep NN architectures, Python, Tensorflow, AWS, and CI/CD. He has worked with several companies in the past, including Delivery Hero and iGenius, The AI Company, where he designed, developed, and maintained recommendation engines. At iGenius, he also handled recruitment steps, researched innovation for crystal, and developed a library for Domain Adapted Embeddings called "sumukha - the multi-domain encoder." Currently, Jayaram works as a Mentor at Adplist, where he spreads engineering perspective and helps students, industry practitioners, and businesses understand the AI industry and build sound careers around it. Jayaram is a Research Scientist who holds a Master's degree in Telecommunications Engineering from Politecnico di Milano and a Bachelor's degree in Electrical, Electronic and Communications Engineering Technology/Technician from Amrita University. He also has a secondary education and teaching degree from Sri Kakatiya Educational Institutions. Jayaram's tech stack includes ML, AI, AWS, NLP, CI/CD, Python, Tensorflow, and Research Scientist. He is a valuable asset to any team and can start delivering quickly. Jayaram is passionate about AI and is always looking for new challenges and opportunities to learn and grow.
Education Overview
• politecnico di milano
• amrita vishwa vidyapeetham coimbatore
• sri kakatiya educational institutions
Companies Overview
• adplist
• delivery hero
• igenius the ai company
• aramis sr
• contract.fit
• m.t. srl
• juniper networks
• huawei
• iit bombay electrical engineering dept.
Experience Overview
7.8 Years
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