Software Development
As a seasoned Software Engineer specializing in Python at Ping Data Science, I am proficient in Data Engineering and developing AI applications, including Geographic Information Systems (GIS), Natural Language Processing (NLP), and Computer Vision. My role involves deep research and implementation of cutting-edge solutions using technologies like Apache Spark, Lucene, Solr, Elastic Search, Python, C++, and Java. My approach is detail-oriented and systematic, enabling me to handle multiple complex projects simultaneously under tight deadlines. As a driven and self-motivated professional, I thrive on new challenges and am dedicated to continual learning and improvement in the fields of Data Science and AI.
Research and Profiles
Storyteller and Writer
I am an accomplished content creator with a proven track record in storytelling and blogging, leveraging AI tools like ChatGPT, Bard, Ryter, Pictory, DALE.2, and MidJourney to produce engaging and thought-provoking content. My stories and newsletters have amassed a significant following and have made a substantial impact on readers, utilizing psychological insights to explore human behaviors and mental processes.
Blogs and Newsletters
Incorporating this revised content into your resume will help to present a comprehensive picture of your technical prowess and your unique insights into psychology through your writing and community engagement.
humanpsychologyfacts.quora.com Dates: March-2022 - Present
Developed and grew an online community focused on psychology facts, reaching over one million followers.
Curated and composed engaging content that educates and promotes awareness on psychological topics.
Implemented growth strategies that significantly increased engagement and follower base.
Founder & Editor Vocal Letter, vocalletter.substack.com Dates: april-2023 - Present
Established and manage a newsletter with over 10,000 subscribers focused on mental health and well-being.
Create and distribute content including articles, personal stories, and expert insights on mental health issues.
Successfully engage with a broad audience to foster a community of support and awareness around mental health.
Copywriter & Content Strategist Psychology How, psychologyhow.com Dates: april-2022 - Present
Crafted informative and persuasive copy that drives traffic and user engagement.
Developed content strategies that align with psychological insights to maximize reader retention and interaction.
Collaborated with mental health professionals to ensure accurate and impactful content delivery.
Responsibilities:
Lead and manage a team of software engineers in the development of AI software applications
Set technical direction for the team and ensure that projects are completed on time and within budget
Work with stakeholders to gather requirements and translate them into technical specifications
Review and approve software code
Conduct unit and integration testing
Deploy and maintain software applications
Stay up-to-date on the latest AI technologies and trends
Resonsebilities :
Embedded Systems:
Developed embedded systems for a variety of applications, including medical devices, industrial automation, and transportation systems.
Used a variety of programming languages and tools, including C/C++, Python, and MATLAB.
Worked closely with hardware engineers to design and implement embedded systems.
Data Science:
Developed data science solutions for a variety of business problems, including customer churn prediction, fraud detection, and product recommendation.
Used a variety of machine learning and statistical techniques, including regression, classification, and clustering.
Worked with stakeholders to gather requirements and interpret results.
Software Development:
Developed software applications for a variety of platforms, including desktop, web, and mobile.
Used a variety of programming languages and frameworks, including Java, Python, and React.
Worked with a team of developers to deliver high-quality software on time and within budget.
Python:
Proficient in Python programming language.
Used Python for a variety of tasks, including data analysis, machine learning, and web development.
Developed Python libraries and modules.
GIS Systems:
Worked with GIS (Geographic Information Systems) systems to collect, store, and analyze spatial data.
Used GIS systems to create maps, charts, and other visualizations.
Implemented GIS solutions for a variety of business problems.
Responsbilities :
Data Science:
Developed data science solutions for a variety of business problems, including customer churn prediction, fraud detection, and product recommendation.
Used a variety of machine learning and statistical techniques, including regression, classification, and clustering.
Worked with stakeholders to gather requirements and interpret results.
Built and maintained data pipelines to collect, clean, and store data.
Developed and deployed machine learning models to production.
Communicated results to stakeholders in a clear and concise manner.
Software Development:
Developed software applications for a variety of platforms, including desktop, web, and mobile.
Used a variety of programming languages and frameworks, including Java, Python, and React.
Worked with a team of developers to deliver high-quality software on time and within budget.
Implemented software solutions for a variety of business problems.
Worked with testers to ensure that software applications are bug-free.
Documented software applications so that they are easy to understand and maintain.
Research:
Conducted research in computer vision, machine learning, and OCR.
Developed new algorithms and techniques for these areas.
Published research papers in top academic journals and conferences.
Collaborated with other researchers to advance the state of the art in these areas.
Presented research findings at academic conferences and workshops.
Computer Vision:
Developed computer vision algorithms for a variety of applications, such as object detection, face recognition, and image segmentation.
Worked with large datasets of images and videos to train and evaluate computer vision models.
Deployed computer vision models to production.
Worked with other engineers and scientists to integrate computer vision into real-world applications.
Machine Learning:
Developed machine learning models for a variety of applications, such as fraud detection, customer churn prediction, and product recommendation.
Worked with large datasets of data to train and evaluate machine learning models.
Deployed machine learning models to production.
Worked with other engineers and scientists to integrate machine learning into real-world applications.
OCR:
Developed OCR (optical character recognition) algorithms for a variety of applications, such as extracting text from scanned documents and converting images of text into machine-readable text.
Worked with large datasets of images and text to train and evaluate OCR models.
Deployed OCR models to production.
Worked with other engineers and scientists to integrate OCR into real-world applications.
Software Developer and AI Expert