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Title Machine Learning Computer Science
Target Location US-IN-Bloomington
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Candidate's Name
 PHONE NUMBER AVAILABLE [ EMAIL AVAILABLE LinkedIn GitHub Portfolio Bloomington, Indiana EducationIndiana University Bloomington Bloomington, Indiana Masters in Computer Science; GPA: 3.9/4.0 Aug Street Address   22 May 2024 Courses: Algorithms,Networks,Machine Learning, Cloud, Databases,Bioengineering Bits Pilani Hyderabad Hyderabad, IndiaPG Diploma Artificial Intelligence; GPA: 3.9/4.0 Sep Street Address   Dec 2021 GRIET Hyderabad Hyderabad, IndiaBachelors in Computer Science; GPA: 3.9/4.0 Aug 2015  May 2019 Work ExperienceRocket Companies Detroit, Michigan, United StatesBig Data Engineer Intern May 2023  Aug 2023 Spearheaded the development of a Facebook CAPI integration leveraging AWS catalog and Lambda functions, catalyzing a remarkable 60% revenue surge. This innovative solution capitalized on rocket FOC data, demonstrating a profound impact on financial performance. Engineered and deployed pioneering automation strategies for deployment pipelines utilizing CIRCLECI and HAL. This strategic initiative transitioned critical operations in-house, enhancing control and efficiency, and marking a significant leap in 100% operational automation. Conceptualized and developed a cloud-based Bot, serving as a Proof of Concept (POC) for an automated GitHub Pull Request assistant. This forward-thinking project underscores a commitment to continuous innovation and process optimization with 100% automated . Orchestrated the design and implementation of a responsive web application, showcasing proficiency in full-stack development. Utilized React for intuitive front-end design, Node.js for robust back-end operations, and MongoDB for seamless database management. Further enriched the application by integrating sophisticated user authentication protocols and developing comprehensive RESTful API services, ensuring a seamless and secure user experience.TATA Consultancy Services Hyderabad, IndiaSoftware Engineer May 2019  Jan 2022 Architected and implemented a sophisticated pipeline, transitioning SQL data storage to a Hive-based Data Warehouse, augmented by an innovative intermediate data lake mechanism. This strategic infrastructure overhaul significantly enhanced data agility and accessibility by 80% optimizing data management processes. Engineered a cutting-edge pipeline for real-time analysis of online transaction data, leveraging Kafkas robust streaming capabilities. This system enabled real-time data insights, driving informed decision-making and operational efficiency 40% which was 10% earlier. Spearheaded the development of a groundbreaking method for pathogen detection in gaseous mixtures, securing a patent for the invention. Utilized advanced machine learning algorithms, including CNN and RNN, and crafted bespoke neural networks, yielding highly customized and accurate 90% detection results. Led the innovation of a novel pathogen identification methodology, integrating nanotechnology or microelectronics with unique chemical signature recognition. This approach harnessed artificial intelligence to significantly enhance the precision and reliability of pathogen detection. Attained international acclaim for an innovative pathogen detection technology, marked by the filing of the International Patent WOPHONE NUMBER AVAILABLEA1. This project, currently pending patent approval, highlights a dedication to groundbreaking developments, establishing a new standard in pathogen detection methodologies. Expertise in Python and AWS was pivotal in the seamless integration of machine learning models into database management systems and in enhancing operational efficiency through cloud-based solutions. Research ExperienceMachine Learning for Database Management System Hyderabad, India Own Research Development Aug 2020 Pioneered advanced prediction algorithms to address complex problems, leveraging data analytics for breakthrough predictive insights Revolutionized database management by integrating machine learning models, enhancing problem-solving capabilities and critically analyzing model limitations for a balanced tech application. Link for the paperAwards & AchievementsGrant Throton Spring Challenge 2023: Developed and executed a comprehensive, data-driven case study that resulted in securing the prestigious Grant Throton Spring Challenge 2023 scholarship. Achieved recognition for innovative approaches in monitoring and promoting a healthy work environment, ensuring the mental well-being of corporate employees.Grant Throton Winter Challenge 2023: Awarded a scholarship for pioneering a case study that leverages Generative AI to revolutionize customer engagement strategies for retail businesses. Acknowledged for driving customer attraction and retention through cutting-edge AI solutions. Osmocosm 2023: Distinguished participant at the esteemed Osmocosm event, presenting breakthrough research on disease detection via olfaction. Lauded for contributing novel insights to the field of medical diagnostics. Abu Dhabi Autonomous Racing 2024: Integral member of the Simulation team, propelling the team to achieve 3rd place in the preliminary round of the prestigious Abu Dhabi Autonomous Racing 2024. Recognized for exceptional skills in simulation and strategy in a highly competitive environment. AI KOSH Season winner: Top 5thfor a seminal white paper on the innovative use of NLP in predicting COVID-19 drug outcomes, highlighting the potential of AI in advancing medical research and treatment strategies. CTO Appreciation Award: Honored with the CTO Appreciation Award for exhibiting top-tier expertise in research methodology and effective domain segregation within research groups, significantly enhancing collaborative research efforts.Smart India Hackathon18: Achieved Runner-up status for developing an innovative offline navigation application that intelligently creates routes from spatial imagery, demonstrating exceptional problem-solving skills and technical acumen.Codevita Coding Challenge: Secured a position in the top 500 ranks nationally among nearly 10,000 participants, showcasing outstanding coding proficiency and competitive spirit in one of Indias most prestigious coding contests. SkillsProgramming: C, Java, Python, MySQL, HTML, Oracle Database, R, Java, J2EE, Javascript, HTML, C++, XML Technologies: Tableau, AWS (Amazon Web Services),NLP, Linux, MACOS, SAS,Power BI, Google Cloud Platform, Azure, CircleCI, Big Data Analytics, Data Science HAL, Big Data, Hadoop, Hbase, Hive, Sqoop, Kafka, Machine Learning, Deep Learning, Generative AI, Tableau, Natural Language Processing, Experimental Design, Data Engineering, AWS RedShift, Qlik Sense, figma, figma data products, LLM,IT support,UX, Project management,Google Cloudsearch Leadership ExperienceTEDx GRIET, Organizer Technical Team :Engaged a cohort of 100 students through TEDx talks, and networking sessions enabling them to excel in careers of interest.Worked on developing Website and app for TEDx Event and implemented own ticketing system.

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