Prasanth V Email & Phone Number

United States

Dallas, Texas, United States

• Developed and optimized custom GPT models for enterprise applications, enhancing real-time user experience and accuracy.• Integrated GPT models with Salesforce API to automate customer support workflows, using OAuth for secure data access.• Implemented RAG (Retrieval Augmented Generation) to improve document retrieval and QA processes, reducing response times by 30%..Deployed MuleApps in Any point and Integrated Salesforce data from GUS, ORG62, SUPPORTFORCE into AWS S3, cutting… Show more • Developed and optimized custom GPT models for enterprise applications, enhancing real-time user experience and accuracy.• Integrated GPT models with Salesforce API to automate customer support workflows, using OAuth for secure data access.• Implemented RAG (Retrieval Augmented Generation) to improve document retrieval and QA processes, reducing response times by 30%..Deployed MuleApps in Any point and Integrated Salesforce data from GUS, ORG62, SUPPORTFORCE into AWS S3, cutting manual entry by 50%.• Automated CPS property generation, increasing speed by 75 reducing errors by 90% and created Snowflake Tables in Raw, Struct Zones.• Optimized Airflow DAGs by creating YAML files, Ninja Templates to load data from S3 to Snowflake Tables and transfer efficiency by 30%.• Developed AI-driven customer interaction solutions using OpenAI GPT-3 and integrated them into Salesforce platforms, leveraging Node.js and React.js for enhanced user experiences, resulting in a 30% increase in customer satisfaction ratings.• Optimized deployment processes by using Vercel for hosting applications, which reduced loading times by 40%, improving overall application performance.• Designed and deployed LLM-based chatbots for enterprise customer support, leveraging OpenAI’s GPT-3 models to provide automated responses and insights, resulting in a 30% reduction in response time.• Developed custom embeddings using the LangChain framework to enable semantic search across large customer datasets.• Collaborated with cross-functional teams to optimize model performance, utilizing Azure ML for model deployment and continuous integration (CI/CD) pipelines.• Architected a generative AI-based solution using GPT-3 and LangChain for automated customer support, reducing manual query response times by 30%.• Built a scalable Python framework for text summarization and chatbot deployment using Hugging Face Transformers and Flask.• Implemented async programming techniques real-time chatbot 25%. Show less

Frisco, Texas, United States

• Developed an AI-driven chatbot using OpenAI's GPT-3.5 language model, Langchain, and Streamlit, enhancing client support operations.• Deployed a chatbot application on Hugging Face, providing immediate and accurate responses to client inquiries.• Implemented a document summarization tool using T5 transformers, significantly improving the efficiency of legal document analysis.• Integrated NLP models with ElasticSearch to enhance data retrieval capabilities and optimize search… Show more • Developed an AI-driven chatbot using OpenAI's GPT-3.5 language model, Langchain, and Streamlit, enhancing client support operations.• Deployed a chatbot application on Hugging Face, providing immediate and accurate responses to client inquiries.• Implemented a document summarization tool using T5 transformers, significantly improving the efficiency of legal document analysis.• Integrated NLP models with ElasticSearch to enhance data retrieval capabilities and optimize search functionalities across various document types.• Conducted model evaluation and tuning using TensorFlow and PyTorch, achieving a 15% improvement in model accuracy.• Engineered machine learning models using TensorFlow and Keras to automate lead generation processes, resulting in a 50% reduction in manual efforts.• Implemented data monitoring solutions with Datadog to analyze application performance, leading to a 20% decrease in system downtime.• Designed RESTful APIs with Express.js to support front-end interactions, ensuring data integrity and optimizing backend response times by 35%.• Developed a multi-modal AI system combining TTS (Text-to-Speech) and 3D scene understanding using the CLIP model and 3D reconstruction techniques.• Collaborated with design and 3D teams to integrate AI-driven interactive storytelling for real-time video generation using Unity.• Improved code quality and maintainability by implementing automated testing with PyTest and CI/CD pipelines. Show less

Denton, Texas, United States

Instructed 200+ students on advanced AI, machine learning, and probabilistic models, contributing to a 20% improvement in class averages.Led a predictive modeling project for wildfire spread using random forests and time-series analysis, improving prediction accuracy by 20%.Applied machine learning in geospatial analysis using QIS, GDAL, and NumPy, increasing satellite image processing efficiency by 25%.• Researched reinforcement learning models for interactive storytelling, leading… Show more Instructed 200+ students on advanced AI, machine learning, and probabilistic models, contributing to a 20% improvement in class averages.Led a predictive modeling project for wildfire spread using random forests and time-series analysis, improving prediction accuracy by 20%.Applied machine learning in geospatial analysis using QIS, GDAL, and NumPy, increasing satellite image processing efficiency by 25%.• Researched reinforcement learning models for interactive storytelling, leading to a novel approach for dynamic plot generation.• Created a hybrid model using GPT-3 and reinforcement learning for real-time narrative shaping in gaming applications.• Published findings in top AI conferences, demonstrating a 20% increase in narrative cohesion compared to baseline models.• Conducted research on conversational AI frameworks, specifically focusing on the integration of BERT and GPT-2 models for improved NLP tasks, enhancing model accuracy by 15%.• Collaborated with academic peers to develop a custom chatbot solution using React and Next.js, facilitating user engagement in research projects and gathering valuable feedback.• Published findings in peer-reviewed journals, contributing to the advancement of AI technologies in real-world applications.• Developed a multi-modal model integrating vision and NLP for visual question answering, leveraging Vision Transformers and BERT architectures.• Published a research paper on leveraging Transformer-based architectures for spatial data classification in GIS systems.• Implemented data pipelines for large-scale geospatial data processing using Spark and Azure Databricks, reducing data processing time by 40%. Show less

Bengaluru, Karnataka, India

Built a scalable data pipeline to automate access control (RBAC) using Kong API for machine learning applications, reducing manual effort by 25%.Enhanced deployment efficiency and system reliability through continuous integration strategies, contributing to a robust ML infrastructure.• Automated monitoring systems using Python and Prometheus, reducing manual intervention by 40%.• Implemented anomaly detection algorithms on server logs to identify performance bottlenecks, achieving a… Show more Built a scalable data pipeline to automate access control (RBAC) using Kong API for machine learning applications, reducing manual effort by 25%.Enhanced deployment efficiency and system reliability through continuous integration strategies, contributing to a robust ML infrastructure.• Automated monitoring systems using Python and Prometheus, reducing manual intervention by 40%.• Implemented anomaly detection algorithms on server logs to identify performance bottlenecks, achieving a 20% reduction in downtime.• Developed Jenkins pipelines for CI/CD, optimizing deployment times by 30%.• Monitored system health using Datadog, identifying and resolving performance bottlenecks, which improved system uptime by 25%.• Automated deployment processes through CI/CD pipelines, enhancing deployment frequency and reducing roll-back incidents by 40%.• Engaged with cross-functional teams to ensure reliability in software products, fostering a culture of collaboration and rapid feedback.• Managed the end-to-end execution of onboarding applications for Kong and Grafana Dashboard, ensuring smooth deployment and integration using DevOps methodologies.• Built a self-service portal integrating Jira, Azure User Authentication, and SendGrid mail systems, showcasing expertise in MSBI tools and data warehousing.• Collaborated with cross-functional teams to ensure smooth migration from non-Prod to Prod environments.• Automated deployment pipelines using Jenkins and Docker, improving system availability by 25%.• Developed monitoring scripts in Python to analyze server logs and detect anomalies, reducing the mean time to detect (MTTD) by 15%.• Collaborated with DevOps teams to optimize microservices architecture, ensuring smooth integration of AI components. Show less

Coimbatore, Tamil Nadu, India

• Developed a text classification tool using CNN and LSTM models, improving document categorization accuracy by 20%.• Conducted research on hybrid models combining statistical NLP with deep learning for automated text summarization.• Co-authored two research papers on NLP applications in sentiment analysis and document classification.• Researched and developed prototypes of chatbots using Rasa and Python, which improved data collection efficiency by 60%.• Participated in… Show more • Developed a text classification tool using CNN and LSTM models, improving document categorization accuracy by 20%.• Conducted research on hybrid models combining statistical NLP with deep learning for automated text summarization.• Co-authored two research papers on NLP applications in sentiment analysis and document classification.• Researched and developed prototypes of chatbots using Rasa and Python, which improved data collection efficiency by 60%.• Participated in community outreach programs to demonstrate AI applications in education, resulting in increased interest in technology among local schools.• Researched deep learning techniques for time-series forecasting, leveraging LSTMs to predict energy consumption with a 92% accuracy.• Co-authored a paper on advanced sequence modeling techniques in natural language processing, focusing on language generation using RNNs and GRUs.• Developed Python scripts for automating data labeling and preprocessing, reducing data preparation time by 50%.Taught foundational data science concepts including C, Python, and Data Structures, leading to a 30% increase in student engagement.Guided students through the application of ML techniques in Scratch and Flogarithm, enhancing programming proficiency. Show less

Master Of Science - Ms, Artificial Intelligence

Bachelor'S Of Technology, Computer Science And Engineering

High School