Update app.py
Browse files
app.py
CHANGED
@@ -39,6 +39,58 @@ if __name__ == "__main__":
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gr.inputs.Textbox(lines=5, label="My Cover Letter"),
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gr.inputs.Textbox(lines=10, label="Job Posting")
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],
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gr.outputs.Textbox(label="Cover Letter"),
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title="CoverLetter-GenAI-adapter",
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description="Write a cover letter for you based on job description.",
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gr.inputs.Textbox(lines=5, label="My Cover Letter"),
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gr.inputs.Textbox(lines=10, label="Job Posting")
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],
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examples=[[
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"""
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Dear Hiring Manager,
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I’m excited to be applying for the position at your company. Most recently I was a member of the Cisco Data Science team. I believe my prior experiences, Machine Learning Engineering education from FourthBrain, recent Google Cloud Certification for Professional Machine Learning Engineer and positive open-minded attitude make me an ideal candidate.
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As a member of the Cisco CX BCS Data Science team, I led the initiative to gain observability of the ML lifecycle through ML Ops Continuous Monitoring principles as we migrated to Google Cloud. This was a novel project in a relatively new field. It involved working across multiple departments to align everyone’s needs with business goals. I also created an architectural framework and a how-to-implement industry-best-practice road-map. I helped identify many gaps in the monitoring framework and implemented a dashboard with ML lifecycle performance, stability and operational metrics.
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During FourthBrain's Machine Learning Engineer Program, I gained the technical and practical skills necessary to contribute to high-performing AI product teams by building, packaging, and deploying state-of-the-art ML models as containerized web applications in cloud-based production environments. The program was divided into four pillars: Data Centric AI, Machine Learning Modeling, AI Applications, and MLOps. As part of our capstone project, my partner and I built a low-latency end-to-end few-shot keyword spotting (FS-KWS) pipeline for personalization running in real-time on an edge device. We presented our project to potential users, collaborators, employers, and the wider open-source ML community during the demo day as part of graduation.
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While working as a Data Analyst for HCL, I collected data, wrote ETL scripts and created BI Dashboards to solve business challenges using Google Cloud technologies. I used Data Studio to convey results of these analyses and told a story to emphasize their importance. With the exponential growth of data, knowledge of cloud-based Big Data platforms are integral for solving real-world problems.
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While working as a Data Analyst at Commercial Energy, I used VBA in Excel and SQL to analyze customer usage data, using forecasting tools and performing complex calculations to create savings recommendations. I analyzed the price volatility of wholesale natural gas, reporting it to our Chief Risk Officer and the Risk Management Team to make purchasing decisions; a daily process I was able to reduce from two hours to fifteen minutes. I was able to automate and minimize the time and effort it took to complete each task I was responsible for by researching pertinent information and learning new skills. The urgency of the task, my eagerness to prove to myself, and the passion I have for problem solving were my strongest sources of motivation. It taught me that I thrive when I am put to the test and given responsibility.
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During my time at Springboard, I learned Machine Learning with Python specifically Natural Language Processing (NLP). I built an application using Twitter data to predict users by class as well as other projects throughout the course. I have a strong background in the hard sciences (Math, Physics and a BS in Actuarial Science) from the University of California, Santa Barbara. I try to apply a data-driven approach to all aspects of my work and hope to do the same with new challenges.
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Thank you for your time and consideration.
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I am eager to learn more about this position and demonstrate my skills and fitness.
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Sincerely,
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Christos Magganas
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""",
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"""
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Job Title: Machine Learning Engineer
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Company: FourthBrain
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Location: Remote
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Job Description:
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FourthBrain is seeking a highly motivated and skilled Machine Learning Engineer to join our team. The successful candidate will have a strong background in machine learning and software development, with experience building and deploying ML models as containerized web applications in cloud-based production environments.
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Responsibilities:
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Collaborate with cross-functional teams to identify opportunities to leverage machine learning for product development or R&D projects.
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Build, optimize, package, and deploy state-of-the-art ML models as containerized web applications in cloud-based production environments.
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Design and develop software solutions that integrate with machine learning models.
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Participate in group capstone projects to demonstrate understanding of MLE software development and its implications.
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Present and share completed projects with potential users, collaborators, employers, or the wider open-source ML community.
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Connect with professionals and employers via guest speaking events and the final project presentation day.
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Requirements:
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Bachelor's or Master's degree in computer science, engineering, or a related field.
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Strong proficiency in machine learning algorithms and software development.
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Experience building and deploying ML models as containerized web applications in cloud-based production environments.
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Familiarity with software development tools and practices, such as Git, Linux, and containerization.
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Excellent problem-solving and analytical skills.
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Strong written and verbal communication skills.
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At FourthBrain, we value open collaboration, communication, and lifelong learning.
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"""
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]],
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gr.outputs.Textbox(label="Cover Letter"),
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title="CoverLetter-GenAI-adapter",
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description="Write a cover letter for you based on job description.",
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