Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I’m Naveen Morla, a Data Scientist with 5+ years of experience building production ML and GenAI systems, end-to-end ML pipelines, LLM-powered applications, and scalable APIs across manufacturing, legal, and analytics domains. I specialize in RAG pipelines, Agentic AI workflows, multi-agent systems, model deployment, and MLOps, with hands-on experience in FastAPI and multi-provider LLM ecosystems on AWS and Azure. I love turning complex data into actionable insights and collaborating with stakeholders to deliver measurable business impact.…Hi, I’m Naveen Morla, a Data Scientist with 5+ years of experience building production ML and GenAI systems, end-to-end ML pipelines, LLM-powered applications, and scalable APIs across manufacturing, legal, and analytics domains. I specialize in RAG pipelines, Agentic AI workflows, multi-agent systems, model deployment, and MLOps, with hands-on experience in FastAPI and multi-provider LLM ecosystems on AWS and Azure. I love turning complex data into actionable insights and collaborating with stakeholders to deliver measurable business impact.

Naveen Morla

Data Scientist, AI Engineer, Full Stack Developer, +2





Hi, I’m Naveen Morla, a Data Scientist with 5+ years of experience building production ML and GenAI systems, end-to-end ML pipelines, LLM-powered applications, and scalable APIs across manufacturing, legal, and analytics domains. I specialize in RAG pipelines, Agentic AI workflows, multi-agent systems, model deployment, and MLOps, with hands-on experience in FastAPI and multi-provider LLM ecosystems on AWS and Azure. I love turning complex data into actionable insights and collaborating with stakeholders to deliver measurable business impact.…Hi, I’m Naveen Morla, a Data Scientist with 5+ years of experience building production ML and GenAI systems, end-to-end ML pipelines, LLM-powered applications, and scalable APIs across manufacturing, legal, and analytics domains. I specialize in RAG pipelines, Agentic AI workflows, multi-agent systems, model deployment, and MLOps, with hands-on experience in FastAPI and multi-provider LLM ecosystems on AWS and Azure. I love turning complex data into actionable insights and collaborating with stakeholders to deliver measurable business impact.

Available to hire

Hi, I’m Naveen Morla, a Data Scientist with 5+ years of experience building production ML and GenAI systems, end-to-end ML pipelines, LLM-powered applications, and scalable APIs across manufacturing, legal, and analytics domains.

I specialize in RAG pipelines, Agentic AI workflows, multi-agent systems, model deployment, and MLOps, with hands-on experience in FastAPI and multi-provider LLM ecosystems on AWS and Azure. I love turning complex data into actionable insights and collaborating with stakeholders to deliver measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Scientist, Business Intelligence at Lisinski Law Firm LLC

June 1, 2025 - Present

Developed and maintained forecasting models to predict case growth and business development trends across 50,000+ active cases, leveraging advanced statistical and ML techniques to support strategic decision making for 15+ leadership stakeholders. Deployed LLM based sentiment analysis on client and case data using Azure Functions and Python, automating reporting workflows and enabling real time insights that improved business development strategies and client experience outcomes. Designed and maintained interactive Power BI dashboards tracking 15+ KPIs across 50,000+ active immigration case pipelines, reducing manual reporting cycles and enabling faster, data driven decisions for 15+ leadership stakeholders. Engineered high performance FastAPI endpoints and scalable data pipelines using Azure Functions and Python, optimizing response times and supporting real time analytics consumption across BI applications. Designed and implemented end to end CI/CD pipelines for automated deployment

Data Scientist / Software Engineer at THK Manufacturing of America Inc

January 1, 2024 - June 1, 2025

Engineered high performance FastAPI APIs with advanced caching for seamless ingestion, processing, and retrieval of machine and inventory datasets, reducing data retrieval latency and supporting real time analytics across production manufacturing systems. Fine tuned predictive models with PyTorch and TensorFlow, improving lead time forecasting accuracy by 18% and optimizing inventory management across 5,000+ SKUs. Engineered data preprocessing pipelines with feature engineering and data wrangling to improve model accuracy and robustness, leveraging Polars and PySpark to process 100M+ rows, enabling real time analytics on large scale inventory and sensor datasets. Architected and managed containerized microservices with Kubernetes and Docker for scalable big data processing pipelines handling 1TB+ of daily manufacturing data, implementing MLOps practices to streamline deployment and monitoring of machine learning models. Built interactive Tableau dashboards and responsive React and Java

Data Scientist at Pago Analytics

May 1, 2019 - April 1, 2021

Designed and deployed a deep learning resume parser using Python, NLTK, and SpaCy, improving hiring process efficiency by 30% and reducing hiring costs by 22%, cutting the end to end hiring cycle by two weeks across 10,000+ labeled resumes. Built and deployed an automated Talent Acquisition Management System (TAMS) on AWS SageMaker, training on 10,000+ resumes to automate candidate screening and achieve 30% faster project delivery under Agile workflows. Normalized SQL databases improving data handling and query performance by 2X, defined KPIs and delivered insights via Power BI dashboards, increasing stakeholder engagement by 30% and reducing decision making time by 18%. Leveraged advanced data mining and ML techniques to identify critical business metrics, communicated findings to cross functional stakeholders through Power BI reports, achieving 25% faster project completion across concurrent hiring initiatives.

Data Analyst at Knowledge Matrix Pvt Ltd

March 1, 2018 - February 1, 2019

Built an ETL pipeline using Python, SQL, Spark, and Hadoop to process 10M+ records, reducing processing time by 5+ hours per batch and improving overall data accuracy by 20%. Designed Tableau and Power BI dashboards deployed on AWS, directly contributing to a 25% increase in conversion rates and a 15% reduction in customer attrition through data driven sales and marketing decisions. Partnered with business units to define data requirements and governance standards, ensuring data redundancy and reliability across Hadoop ecosystems and resulting in 20% improvement in data accuracy and consistency. Ran A/B tests and hypothesis evaluations on AWS to guide product strategy, applied predictive analytics and ML techniques to identify patterns and anomalies, enabling forward looking business recommendations.