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EMAIL AVAILABLE| PHONE NUMBER AVAILABLE | EMAIL AVAILABLEEDUCATIONSACRED HEART UNIVERSITYMS in Computer ScienceJune Street Address | Fair Field, CT GPA: 3.30/4William Carey UniversityBachelor of Science (Information Technology)April 2020| Hyderabad, IndiaGPA: 7.98/10SKILLSPython, Docker, AWS, GCP, CI/CD Pipelines,LLM, GAN, Gen AI, TensorFlow, Keras, LangChain, BitBucket, K8, TerraFormRESEARCHSACRED HEART UNIVERSITY FOR ARTIFICIALINTELLIGENCE | ResearcherFEB 2023 - MAY 2023 | Fairfield, CTEngaged in pioneering research with ProfDomnick Pinto on applying ReinforcementLearning in the development of advanced NLP algorithms for interactive dialogue systems.PUBLICATIONSLeveraging Transfer Learning to Identify Food CategoriesAuthored and published a paper in Advances in Science and Technology Research Journal (ASTRJ) ISSN:2299-8624, Volume-15, Issue-4, November2021CERTIFICATIONSGCP Professional Machine LearningEngineerAWS Certified Machine Learning -Specialty EXPERIENCE GENMAB | MACHINE LEARNING ENGINEER April 2022 | Remote, NYC Enhanced Python-based ML models for nance on GCP, achieving a 20% increase in investment accuracy with BigQuery and AI Platform, demonstrating prowess in solving complex business challenges through analytics. Leveraged Python and NLP on GCP financial reports analysis, improving sentiment analysis and market predictions, showcasing application of Generative AI in analytics. Developed NLP applications with LLaMA and Mistral models for improved accuracy and integrated OpenAI for contextually aware conversational AI. Led the development of data-driven financial products, utilizing Agile/Scrum methodologies and managing code via Bitbucket, yielding a 15% increase in user engagement. Established GCP-based testing for LLMs like GPT and BERT, ensuring code quality and model efficacy, reflecting expertise in MLOps practices and robust problem-solving capabilities. Drove deployment of generative AI models in nance using Python on GCP, enhancing accuracy by 20%, indicative of advanced AI model lifecycle management with a quality and security focus. Applied DevOps principles, using tools like Cloud Build and Terraform on GCP for automated CI/CD pipelines, ensuring efficient deployment and maintenance of machine learning models, highlighting a comprehensive approach to cloud-based development and operations. KPMG | MACHINE LEARNING ENGINEER Nov 2019 - Feb 2022 | Pune, India Spearheaded the development and deployment of machine learning models for NLP, markedly improving LLM functionalities to solve complex business challenges, leveraging GCP for scalable and efficient solutions. Designed and implemented efficient data pre-processing pipelines, optimizing data management using GCP's BigQuery and Cloud Storage, facilitating rapid model training and enhancing data handling capabilities. Converted notebook experiments into modular, production-grade code, employing GCP services for continuous integration and deployment, ensuring adherence to software engineering principles and enabling swift, dependable updates. Conducted model optimization and hyperparameter tuning using techniques like cross-validation, directly contributing to the identification and deployment of high-performing machine learning models in production environments. Documented configurations, processes, and adhered to security best practices throughout the software development lifecycle, showcasing strong problem-solving abilities, effective teamwork, and a commitment to maintaining high standards of security and documentation. |
