AI Financial Forecasting Tool
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Summary
Developed a machine learning model using Scikit-learn for precise stock market trend prediction.
Dynamic AI/ML and Automation Engineer with over 3 years of experience in designing and deploying scalable AI-driven solutions. Proven leader in leveraging TensorFlow, PyTorch, and NLP to drive significant business impact, including a 40% increase in client acquisition and 20% revenue growth at ZyraTech. Adept at full-stack development, cloud platforms (AWS, GCP, Azure), and Agile methodologies, focused on building innovative AI tools that enhance productivity and foster innovation.
CEO & AI/ML Engineer
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Summary
As CEO & AI/ML Engineer, led the development of over 10 AI-driven web applications and robust automation systems, driving significant client acquisition and revenue growth.
Highlights
Developed 10+ AI-driven web applications using Python, TensorFlow, PyTorch, and NLP, contributing to a 40% increase in client acquisition and 20% revenue growth.
Engineered AI-powered tools, including chatbots and sentiment analysis systems, that improved customer engagement by 40% and increased monthly active users by 25%.
Directed a team of 11+ engineers in designing and delivering innovative AI products for education and career assistance on AWS and GCP.
Streamlined development workflows through Agile methodologies, reducing project timelines by 15%.
Project Manager & AI Integration Specialist
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Summary
Managed 8 fintech projects valued at over $2M, leading cross-functional teams to integrate machine learning solutions for predictive analytics.
Highlights
Coordinated a team of 15+ developers to deliver 8 fintech projects valued at over $2M, integrating machine learning solutions for predictive analytics.
Enhanced project delivery efficiency by 20% using Agile and Scrum practices, shortening timelines by an average of 3 weeks.
Constructed AI-driven financial forecasting tools that achieved 92% accuracy in predicting stock prices.
Full-Stack Developer & AI Engineer
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Summary
Developed cross-platform mobile applications with integrated AI features, optimizing user experience and operational efficiency.
Highlights
Built cross-platform mobile apps using Flutter and ReactJS, integrating AI-driven features for enhanced user experience.
Collaborated with designers to optimize app performance, reducing load times by 30%.
Developed AI-powered chatbots, reducing query resolution time by 50% and support tickets by 30%.
Issued By
Issued By
Issued By
Coursera
Issued By
Coursera
Issued By
Coursera
Python, Java, JavaScript, ReactJS, Dart.
TensorFlow, PyTorch, Scikit-learn, Keras, Flutter, Node.js, ReactJS.
Machine Learning, Deep Learning, NLP, Computer Vision, Reinforcement Learning, AI Automation.
AWS, GCP, Azure, Docker, Kubernetes, Git.
Agile, Scrum, Team Leadership, Stakeholder Engagement.
Data Visualization, API Development, Cross-Platform Development, Data Analysis.
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Summary
Developed a machine learning model using Scikit-learn for precise stock market trend prediction.
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Summary
Engineered an NLP-based chatbot using Python, TensorFlow, and AWS, designed to enhance customer service and efficiency.
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Summary
Built a Python-based automation system on AWS to manage YouTube content efficiently.
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Summary
Created an NLP-driven tool using PyTorch for sentiment classification.
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Summary
Developed an AI model using TensorFlow for strategic game simulations.
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Summary
Built an automation tool using Skyvern and Python to streamline job applications on LinkedIn.