I am a results-driven AI engineer and ML specialist with 3 years of experience designing data-driven solutions, ML models, and scalable analytics platforms using Python, SQL, TensorFlow, PyTorch, and Scikit-learn. I have a strong track record of delivering end-to-end ML solutions that automate workflows and improve decision-making, while collaborating effectively in cross-functional, Agile environments. I have built NLP and Generative AI applications leveraging LLMs, RAG pipelines, LangChain, Hugging Face Transformers, and OpenAI APIs to accelerate business processes. I also develop data pipelines, feature engineering workflows, and real-time processing systems using PySpark, Apache Kafka, and Airflow across AWS, Azure, and GCP. I deploy and monitor AI solutions with Docker, Kubernetes, MLflow, and CI/CD practices, delivering scalable REST APIs and microservices-based architectures.

Pradhyumna Kasula

I am a results-driven AI engineer and ML specialist with 3 years of experience designing data-driven solutions, ML models, and scalable analytics platforms using Python, SQL, TensorFlow, PyTorch, and Scikit-learn. I have a strong track record of delivering end-to-end ML solutions that automate workflows and improve decision-making, while collaborating effectively in cross-functional, Agile environments. I have built NLP and Generative AI applications leveraging LLMs, RAG pipelines, LangChain, Hugging Face Transformers, and OpenAI APIs to accelerate business processes. I also develop data pipelines, feature engineering workflows, and real-time processing systems using PySpark, Apache Kafka, and Airflow across AWS, Azure, and GCP. I deploy and monitor AI solutions with Docker, Kubernetes, MLflow, and CI/CD practices, delivering scalable REST APIs and microservices-based architectures.

Available to hire

I am a results-driven AI engineer and ML specialist with 3 years of experience designing data-driven solutions, ML models, and scalable analytics platforms using Python, SQL, TensorFlow, PyTorch, and Scikit-learn. I have a strong track record of delivering end-to-end ML solutions that automate workflows and improve decision-making, while collaborating effectively in cross-functional, Agile environments.

I have built NLP and Generative AI applications leveraging LLMs, RAG pipelines, LangChain, Hugging Face Transformers, and OpenAI APIs to accelerate business processes. I also develop data pipelines, feature engineering workflows, and real-time processing systems using PySpark, Apache Kafka, and Airflow across AWS, Azure, and GCP. I deploy and monitor AI solutions with Docker, Kubernetes, MLflow, and CI/CD practices, delivering scalable REST APIs and microservices-based architectures.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

ML Engineer at MetLife
January 1, 2026 - Present
Built an enterprise RAG platform using LangChain, OpenAI APIs, Hugging Face Transformers, and Pinecone to enable semantic search across policy, claims, and compliance documents, reducing manual underwriting research time by 45%. Designed fraud-risk prediction pipelines using XGBoost and LightGBM on structured policy and customer datasets, improving high-risk claims prioritization accuracy by 32%. Developed NLP workflows for claims document classification and entity extraction using BERT, spaCy, and GPT-based models to process adjuster notes, medical forms, and policy documents with reduced manual intervention. Created Python-based AI microservices and REST APIs deployed through Docker and Kubernetes to support real-time inference workloads used by customer service and claims processing applications. Engineered distributed ETL and feature-engineering pipelines with PySpark, Apache Kafka, and Airflow for ingesting policy transactions, claims feeds, and customer interaction data into cent
Data Analyst at Mindtree
January 1, 2021 - July 1, 2023
Analyzed operational and customer datasets using Python, SQL, Pandas, and NumPy to identify usage trends, reporting inconsistencies, and business performance gaps for enterprise clients. Built Tableau and Power BI dashboards for KPI monitoring, operational reporting, and executive business reviews, reducing manual reporting effort and turnaround time by 50%. Developed PySpark-based data transformation workflows and Airflow scheduling pipelines to standardize ingestion and preprocessing of analytics datasets from multiple business systems. Applied statistical analysis and machine learning techniques using Scikit-learn and TensorFlow for forecasting and customer behavior analysis initiatives, improving retention prediction accuracy by 28%. Optimized PostgreSQL reporting queries and extraction workflows for high-volume datasets, reducing dashboard refresh latency by 40%. Automated recurring reporting and validation workflows using Python and Bash scripting, minimizing repetitive manual QA

Education

Master of Science in Statistics - Data Science at Rutgers University, New Brunswick, NJ, USA
January 11, 2030 - October 1, 2025
Bachelor of Engineering in Electronics and Communication Engineering at Indian Institute of Information Technology, Pune, India
January 11, 2030 - July 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services, Media & Entertainment, Other

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert