Karthik Gullapalli's Email Addresses & Phone Numbers

📖 Summary

Machine Learning Engineer @ Oracle • Developed machine learning pipeline leveraging supervised machine learning algorithms for document classification.• Owned and developed scalable web services, distributed tracing system, and data ingestion platform for modern cloud enterprise applications.• Designed and developed distributed tracing API for enterprise cloud applications. From July 2018 to September 2019 (1 year 3 months) San Francisco Bay AreaTeaching Assistant @ Cornell University • Selected by Professor Cristian to serve as one of the 15 teaching assistants for his lecture and project based course CS 4300 – Language and Information, and mentored a class of 160 students.• Graded individual assignments and group projects to ensure teams were successfully following information system design cycle (user feedback, prototyping, information retrieval, machine learning, sentiment analysis and human computer interaction).CS 4300:This course introduces basic tools for retrieving and analyzing unstructured textual information from the web and social media. Applications include information retrieval (with human feedback), sentiment analysis and social analysis of text. From January 2018 to May 2018 (5 months) Ithaca, New York AreaTeaching Assistant @ Cornell University • Served as TA for the graduate level course Big Data Management and Analysis.• Graded individual assignments and group projects involving Big Data technologies such as Python, Spark, Kafka, Pig, Hive, Hadoop and different other technologies. From January 2018 to May 2018 (5 months) Ithaca, New York AreaProduct Manager @ Cornell University Zocalo (An open source project team at Cornell University dedicated to web application development)• Managed a team of 5 frontend developers, backend developers and UI designers to build a web app that allows for questions, feedback and interaction between teachers and students.• Conducted customer research and competitor analysis to determine value proposition and feature set for MVP.• Lead design sprints to assess critical features and created milestones to accomplish MVP and tested it with customers.• Deployed the prototypes on AWS and owned end to end of product, including search and duplicate post recognition features.Coral Fund (Morgan Stanley Sustainable Investing Challenge)• Led a team of 3 MBA students for coral reefs development fund, projected at $25 Million over 5-year period.Paircon (A collaboration and recommendation platform for researchers attending conferences, based on their past publications)• Led business development for Paircon, one of the top 12 student startups at Cornell eLab Accelerator and secured $5k in funds.• Selected as one of the top 12 student startups at Cornell eLab Incubator to participate in the most competitive entrepreneurship program at Cornell to grow Paircon.• Collaborated with engineers, designers, and management team and determined sprints for product development.• Led business development activities with Paircon executives and successful entrepreneurs; successfully secured investment meetings and made top-level industry contacts.• Conducted customer research (50+ participants) and identified underserved needs of research scholars, defined value proposition, determined feature set for the MVP and tested it.• Prepared the pitch for company and successfully presented it to 400+ alumni and investors at 2017 Cornell eLab's Demo Day at Westfield World Trade Center, New York City. From August 2017 to May 2018 (10 months) Ithaca, New York AreaResearch Assistant @ Cornell University • Developed an interactive program to control and coordinate an ASD Fieldsec4 spectrometer and the rotational stage of the goniometer in Python.• Worked under the supervision of Professor Bill Philpot.• Developed a supervised machine learning application on structured data and an image recognition deep learning model to automatically control the ASD Fieldsec4 spectrometer. From December 2017 to January 2018 (2 months) Ithaca, New York AreaResearcher @ Stanford University • Developed content for courses "Practical Machine Learning" and "Introduction to Python".• Developed a text recognition machine learning model using neural nets and SVHN data set and published a paper at HCOMP 2015, a top-tier AAAI conference.• Directly managed and led 7 teams for developing Stanford Scholar platform within an agile environment providing access to education for thousands of students and researchers.• Worked on Stanford Crowd Research Collective research project "Computer Vision Under the Assumption of Value" involving applications of machine learning in computer vision under Professor James Davis from UC Santa Cruz. From February 2015 to July 2016 (1 year 6 months) Machine Learning Engineer @ Amazon • Ad relevance, optimization and targeting• Recommendations and relevance San Francisco Bay AreaSoftware Engineer @ BlackRock From January 2016 to July 2017 (1 year 7 months)