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Pranjal Joshi
Machine Learning Engineer at Total AI | BITS Pilani
About
Pranjal Joshi is a highly skilled Machine Learning Engineer with over 5 years of relevant experience in the field. Currently, he is working at TotalAI Systems, where he is responsible for developing and implementing machine learning algorithms to solve complex business problems. Prior to joining TotalAI, Pranjal worked as a consultant R&D Engineer for NVIDIA and Indira Gandhi Delhi Technical University for Women. During his tenure, he gained valuable experience in developing and deploying machine learning models for a wide range of applications. Pranjal holds a Bachelor's degree in Electrical, Electronics and Communications Engineering from Chhattisgarh Swami Vivekanand Technical University, Bhilai. He is proficient in various machine learning tools and technologies and has a strong command over the ML tech stack. As a Machine Learning Engineer, Pranjal is passionate about leveraging his skills and expertise to develop innovative solutions that can help businesses grow and thrive. He is a quick learner and has a proven track record of delivering high-quality work within tight deadlines. In his current role at TotalAI, Pranjal is responsible for designing, building, and deploying machine learning models that can help businesses make data-driven decisions. He works closely with cross-functional teams to identify business problems and develop solutions that can drive business growth. Overall, Pranjal is a highly motivated and skilled Machine Learning Engineer with a passion for developing innovative solutions that can make a real difference in the world. With his strong technical skills and experience, he is well-positioned to take on new challenges and make a significant impact in the field of machine learning.
Education
Companies
• total ai systems
• nvidia
• iiit
• oxford university press
• cognizant
• blueberry semiconductors pvt ltd.
• cadence design systems
Experience
5.9 Years
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Amazon S3
Amazon Web Services (AWS)
Artificial Intelligence (AI)
AWS
AWS Lambda
Big Data
Business Intelligence (BI)
C
C++
Cadence Virtuoso
Cadence Virtuoso Layout Editor
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Deep Learning
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EDA
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erp
Flask
Generative AI
Google Cloud Platform (GCP)
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Keras
Kotlin
language models
Large Language Models (LLM)
Large language models (LLM)
Linux
Logic and Reasoning
Machine Learning (ML)
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Microsoft Office
MLflow
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Nginx
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Pandas (Software)
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Sagemaker
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SQL
Synopsys tools
Synopsys VCS
SystemVerilog
TensorFlow
Tensorflow
UVM
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Verilog
Very-Large-Scale Integration (VLSI)
VHDL
Vision
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