I'm passionate about using data to tell stories and specialize in developing machine learning solutions. Currently, I'm an AI Software Engineer at InMoment, where I focus on various projects within the NLP team.
Built predictive models using logistic regression and decision trees to forecast customer performance and optimize retention strategies.
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Performed EDA on customer data and gathered insights from it to build an anomaly detection system.
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Evaluated performance of different LLMs like Meta Llama 3 8b and Meta Llama 3 70b based on their response to a prompt.
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Performed data wrangling and exploratory data analysis (EDA) on marketing datasets to identify trends and patterns influencing customer behavior.
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Applied unsupervised learning techniques like K-means clustering to segment customers into distinct groups, leading to targeted marketing campaigns.
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Collaborated with marketing and product teams to ensure data-driven decisions are made, enhancing the overall customer acquisition strategy.
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Worked on a POC for a Langchain and Vector DB based similarity search Generative AI tool.
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Developed Streamlit apps for marketing team and other stakeholders to visualize performance of the different existing and new machine learning models trained monthly by the team.
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Improve model training engine infrastructure by adding more robust unit tests.
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Researched vector databases to be used as a cache for a summarization tool.
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Orchestrated Jenkins pipeline by building custom configuration using Groovy.
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Collaborate with interdisciplinary teams to work on creating new tools and provide support for maintaining existing ones.
Focus on Food Wastage and Consumption tracking industry, design, develop and maintain enterprise back end components deployed on premise or in the cloud. Using diverse knowledge and skills to help teams build up products quickly by using Agile development method. Participant into whole software lifecycle and cooperate with team members to deliver the software to external and internal customers.
Enhanced Page Object Model based automation framework using Java and Selenium.
Developed automation framework for Android apps using Appium.
Developed JMeter scripts and integrated in TeamCity(CI/CD) for performance testing.
Experienced in setting up framework for testing using Appium for Android apps.
Integrated BrowserStack with Serenity to leverage cross browsers testing capabilities in cloud.
Implemented test plans and isolated, documented and identified applications bugs.
Mentored and trained junior testers to contribute to the project abiding by the company standards.
Communicated with the product business team for requirement analysis.
Engaged in code review sessions with team on weekly basis.
Involved in different types of testing like Automation testing, Manual testing, Integration testing, System testing,
Implemented BrowserStackLocal in the automation framework to support mobile testing on cloud and also used Appium to add additional functionalities for testing.
Implemented TeamCity(Continuous Integration) builds setup for deploying code and release infrastructure setup at the of initiation of new projects.
