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Kadam Parikh
AI Consultant | Helping Businesses Harness the Power of Artificial Intelligence | Machine Learning
About
Kadam Parikh is a skilled Machine Learning Engineer with over 4 years of experience in the field of Machine Learning and Software Engineering. He is currently working as a Lead Software Engineer (Machine Learning) at f(x) data cloud, where he is responsible for leading teams of size ~12 across 3 different projects simultaneously. Kadam has a keen interest in FinTech and loves to build practical systems irrespective of their kind, but his preference lies in systems that can utilize the power of AI. Kadam has a strong technical background and has worked on several key projects throughout his career. He has optimized project workflows at his workplace and built an AI-based resume screener for large talent acquisition teams. Kadam has also led the development and planning of an algorithmic trading platform for cryptocurrency and built an accurate Handwritten Ancient Sanskrit Text Recognition System for old texts from the 1000s. Additionally, he has developed an unsupervised algorithm using Random Forests to detect frauds in Bitcoin Games Casino and boosted the accuracy of a time series-based Oil Well Anomaly Detection system by 10%. Kadam is a graduate of l.d college of engineering, where he obtained a Bachelor's degree in Computer Engineering. He has a strong tech stack that includes ML, Software Engineer, Senior Software Engineer, AI, Bitcoin, and Research Scientist. Kadam is a highly motivated and detail-oriented individual who is passionate about building, breaking, and fixing logic. He is a technical lead who is always looking for new challenges and opportunities to learn and grow. With his expertise in Machine Learning and Software Engineering, Kadam is a valuable asset to any organization looking to develop practical systems that can utilize the power of AI.
Education Overview
• l.d college of engineering ahmedabad
Companies Overview
• simform
• fx data cloud
• blogger blogspot
Experience Overview
5.6 Years
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