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I am Prashanth, a Gen AI Engineer with 9+ years of experience in Generative AI, AI/ML, and data engineering. I design scalable AI systems that drive innovation and enterprise efficiency across media, healthcare, and technology contexts. I specialize in LLMs, NLP/NLG, and production-grade pipelines using cloud platforms, containerization, and modern MLOps practices. My work spans semantic search, predictive analytics, model explainability, and end-to-end ML workflows—from data preprocessing to monitoring and optimization. I enjoy collaborating with cross-functional teams to translate complex data problems into impactful AI solutions that enhance user experiences and business outcomes.…I am Prashanth, a Gen AI Engineer with 9+ years of experience in Generative AI, AI/ML, and data engineering. I design scalable AI systems that drive innovation and enterprise efficiency across media, healthcare, and technology contexts. I specialize in LLMs, NLP/NLG, and production-grade pipelines using cloud platforms, containerization, and modern MLOps practices. My work spans semantic search, predictive analytics, model explainability, and end-to-end ML workflows—from data preprocessing to monitoring and optimization. I enjoy collaborating with cross-functional teams to translate complex data problems into impactful AI solutions that enhance user experiences and business outcomes.

Prashanth Madishetti

Developer, Web Developer, Front-End Developer, +2

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I am Prashanth, a Gen AI Engineer with 9+ years of experience in Generative AI, AI/ML, and data engineering. I design scalable AI systems that drive innovation and enterprise efficiency across media, healthcare, and technology contexts. I specialize in LLMs, NLP/NLG, and production-grade pipelines using cloud platforms, containerization, and modern MLOps practices. My work spans semantic search, predictive analytics, model explainability, and end-to-end ML workflows—from data preprocessing to monitoring and optimization. I enjoy collaborating with cross-functional teams to translate complex data problems into impactful AI solutions that enhance user experiences and business outcomes.…I am Prashanth, a Gen AI Engineer with 9+ years of experience in Generative AI, AI/ML, and data engineering. I design scalable AI systems that drive innovation and enterprise efficiency across media, healthcare, and technology contexts. I specialize in LLMs, NLP/NLG, and production-grade pipelines using cloud platforms, containerization, and modern MLOps practices. My work spans semantic search, predictive analytics, model explainability, and end-to-end ML workflows—from data preprocessing to monitoring and optimization. I enjoy collaborating with cross-functional teams to translate complex data problems into impactful AI solutions that enhance user experiences and business outcomes.

Available to hire

I am Prashanth, a Gen AI Engineer with 9+ years of experience in Generative AI, AI/ML, and data engineering. I design scalable AI systems that drive innovation and enterprise efficiency across media, healthcare, and technology contexts. I specialize in LLMs, NLP/NLG, and production-grade pipelines using cloud platforms, containerization, and modern MLOps practices.

My work spans semantic search, predictive analytics, model explainability, and end-to-end ML workflows—from data preprocessing to monitoring and optimization. I enjoy collaborating with cross-functional teams to translate complex data problems into impactful AI solutions that enhance user experiences and business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Afar

Advanced

Work Experience

Gen AI Engineer at Universal Music Group

September 1, 2023 - Present

Developed Generative AI solutions integrating LLMs for lyric generation with GANs and Diffusion Models using Python and PyTorch for music creation, audio enhancement, and style transfer. Implemented transformer-based models (BERT, T5) with LangChain and LLM agents to automate metadata tagging, lyric summarization, and fan engagement chatbots. Fine-tuned LLMs (LaMDA, BLOOM) to produce artist biographies, marketing narratives, and personalized fan communications. Designed and deployed semantic search pipelines using embeddings and Pinecone. Architected scalable Gen AI applications on GCP Vertex AI and Kubernetes, built REST APIs with Flask, and conducted A/B testing for recommendations. Implemented fraud detection and applied SHAP/LIME for explainability to ensure transparency.

AI/ML Engineer at SITA (Society International of Telecommunications and Aeronautics)

August 1, 2023 - October 15, 2025

Built predictive models with XGBoost, SVM, and Random Forest to enhance decision-making. Developed NLP solutions for text classification, sentiment analysis, and named entity recognition. Designed ML workflows in GCP Vertex AI (AutoML + custom models) with feature engineering and hyperparameter tuning. Applied deep learning using PyTorch for processing unstructured data. Automated end-to-end ML pipelines with Vertex AI Pipelines and built real-time analytics using Kafka and Spark Streaming. Integrated SHAP/LIME for explainability and Snowflake for data ingestion and analytics; deployed Flask APIs on Kubernetes for enterprise integration.

Data Scientist/Engineer at SSM Health

August 1, 2021 - October 15, 2025

Designed and developed ETL pipelines with Apache NiFi and Airflow to process EHR data, radiology images, and clinical datasets with HIPAA considerations. Optimized big data workflows using Hadoop, Spark, and Hive. Built cloud-based ETL in Azure Data Factory for ingestion into Azure Synapse Analytics and Azure Databricks. Developed predictive models for patient readmission risk and hospital resource planning. Implemented real-time streaming pipelines with Kafka, Apache Beam, and Spark Streaming; created dashboards in Tableau/QlikView; established data governance including encryption and anonymization.

Data Analyst at Huntington Bank

January 1, 2018 - October 15, 2025

Performed data cleansing, transformation, and exploratory data analysis using Python, R, and Jupyter. Collaborated with BI to streamline data ingestion via Sqoop into HDFS/Hive. Built statistical models for customer segmentation and profitability analysis. Developed MapReduce programs in Java for data preprocessing, automated ETL with Oozie, and implemented real-time ingestion with Flume. Wrote HiveQL queries for BI and trend analysis; built dashboards to support strategic decision making.