Mar 2021 – Oct 2024 · 3 yrs 7 mos · Hyderabad, Telangana, India

• Data Annotation and AI Model Training
• Developing and implementing quality control measures, resulting in a 25% reduction in annotation errors.
• Working closely with AI/ML engineers to refine annotation guidelines and improve model performance.
• Providing feedback and suggestions for enhancing in-house annotation tools, leading to improved user experience and efficiency.
• Training and mentoring new team members, ensuring they adhere to best practices and maintain high standards of data annotation.
• Managing multiple annotation projects simultaneously, ensuring timely delivery and adherence to project specifications.
• Utilizing advanced analytical techniques to interpret complex data sets and provide actionable insights for improving annotation processes.
• Creating comprehensive documentation and reports on annotation projects, providing stakeholders with clear and concise updates on progress and outcomes.
• Ensuring all annotation work adheres to ethical standards and compliance requirements, safeguarding the integrity of the data.
• Speech-to-Text and NLP Projects
• Working on Speech-to-Text projects, annotating audio data to train and improve speech recognition models.
• Collaborating on Natural Language Processing (NLP) initiatives to enhance language understanding and generation capabilities.
• Contributing to the development and fine-tuning of large language models, including tasks related to Microsoft Copilot.
• Conducting audio annotation for the Hindi and English language to develop and improve the efficiency of speech-to-text models for Hindi and English, enhancing speech recognition accuracy and performance.
• Engaging in Speech Recognition projects, ensuring high-quality annotated data for accurate model training and evaluation.
• Applying expertise in annotation to support various AI and ML projects, including those focused on natural language understanding and generation.

Nov 2019 – Nov 2020 · 1 yr · Hyderabad Area, India

• Handling English and Hindi language data, primarily in the areas of text annotation, workflow solution development and general data analysis deliverables.
• Spearheaded the development of Data Annotation tagging word to word for more accurate results and emotion tagging capabilities for Siri (AI) in Apple CarPlay, Apple HomePod devices enabling precise identification and quantification of user emotions on a 1 to 10 scale. This data-driven approach provides actionable insights to enhance overall customer success.
• Ensured data accuracy at a rate of 95% while meticulously annotating critical data, facilitating its smooth transfer to the Data Scientist for analysis. This contributed to data-driven insights, empowering various verticals within the Customer Success Group and accelerating project timelines.
• Collaborated with the Workflow Management team and Operations to optimize the shrinkage dashboard by utilizing data analysis and visualization tools, effectively streamlining processes. This reflects an ability to navigate seamlessly through different teams to achieve desired outcomes, as expected in the job description.
• Identified business process solutions that increase efficiencies by listening and transcribing audio files and evaluating Siri’s response and language usage.
• Converting unstructured/raw data to structured data in order to be utilized by the engineering analysts.
• Improving goal achievement rate for AI (Siri) by recognizing, advancing and actualizing creative plans to meet and surpass execution and quality objectives set by leadership.
• Handling unique data analysis requests from a range of different customers to Improve and enhance user experience with Siri (AI).
• Leverage the diverse perspectives and experiences of team members to improve the quality and innovation of our centralized operational processes and stakeholder outcomes.

May 2018 – Nov 2019 · 1 yr 6 mos · Hyderabad Area, India

• Provided data creation and analytics services to help develop, test, and train the Alexa AI.
• Worked closely with Amazon Machine Learning (ML) science and modelling teams providing critical data they need to improve Alexa’s speech recognition and language understanding capabilities.
• Managed a team of 5 new hires in English-UK team for a special project and trained them to get maximum accuracy and productivity by doing analysis to make the work easier for us. In this phase I have prepared reports on daily productivity status and error categories.
• Played an integral role in the “Alexa Editorial” project for Alexa Devices with a primary focus on enhancing the system's ability to generate contextually relevant, accurate and engaging answers to customer queries through an AI device. This involved coordinating cross-functional teams, including writers, editors, and AI specialists, to ensure the timely delivery of high-quality content.
• Trained and mentored a team of associates in mastering the “Alexa Editorial” project, resulting in consistent achievement of a 90% quality rate which in turn resulted in in a 20% improvement in overall team performance. This proactive approach aligns with the role's requirement for versatile problem-solving.
• Worked with text, speech and other types of data and attach tags to the contents at scale.
• Delivered high quality of labelled data leveraging guidelines to meet specific key performance indicators and using in-house tools and software.
• Also reported issues with tools and software to the development team when necessary.
• Worked on text and speech data.

Aug 2016 – Jan 2017 · 5 mos · Hyderabad Area, India

• Addressing customers by providing product and service information.
• Attracted potential customers by answering product and service questions and suggesting information about other products and services.
• Was responsible for day-to-day customer success activities spanning from the initial stages of implementation to continued engagement and retention.
• Manage small to mid-sized customers.
• Handle and resolve product or service problems by clarifying the customer’s complaint, determining the cause of the problem, and explaining the best solution to solve the problem.
• Demonstrate advanced insights and understanding of customer’s business/industry and challenge appropriately the way a customer views both their business and processes.
• Built/maintained rapid channel of communication to customer in case of service-related issues and events.
• Maintained financial accounts by processing customer adjustments.
• Preparing product or service reports by collecting and analyzing customer information.
• Contributed to team effort by accomplishing related results as needed.