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I'm a Machine Learning Engineer with hands-on experience building scalable AI, NLP, GenAI, and data-driven systems across logistics, insurance, telecom, and enterprise SaaS domains. I thrive on turning complex data into practical business impact through predictive modeling, biomedical NLP, cloud platforms, and workflow automation. I excel at designing end-to-end ML pipelines, optimizing application performance, and integrating GenAI into production systems to deliver measurable results for diverse stakeholders.…I'm a Machine Learning Engineer with hands-on experience building scalable AI, NLP, GenAI, and data-driven systems across logistics, insurance, telecom, and enterprise SaaS domains. I thrive on turning complex data into practical business impact through predictive modeling, biomedical NLP, cloud platforms, and workflow automation. I excel at designing end-to-end ML pipelines, optimizing application performance, and integrating GenAI into production systems to deliver measurable results for diverse stakeholders.

SAI RAMANA NARRA

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

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I'm a Machine Learning Engineer with hands-on experience building scalable AI, NLP, GenAI, and data-driven systems across logistics, insurance, telecom, and enterprise SaaS domains. I thrive on turning complex data into practical business impact through predictive modeling, biomedical NLP, cloud platforms, and workflow automation. I excel at designing end-to-end ML pipelines, optimizing application performance, and integrating GenAI into production systems to deliver measurable results for diverse stakeholders.…I'm a Machine Learning Engineer with hands-on experience building scalable AI, NLP, GenAI, and data-driven systems across logistics, insurance, telecom, and enterprise SaaS domains. I thrive on turning complex data into practical business impact through predictive modeling, biomedical NLP, cloud platforms, and workflow automation. I excel at designing end-to-end ML pipelines, optimizing application performance, and integrating GenAI into production systems to deliver measurable results for diverse stakeholders.

Available to hire

I’m a Machine Learning Engineer with hands-on experience building scalable AI, NLP, GenAI, and data-driven systems across logistics, insurance, telecom, and enterprise SaaS domains. I thrive on turning complex data into practical business impact through predictive modeling, biomedical NLP, cloud platforms, and workflow automation.

I excel at designing end-to-end ML pipelines, optimizing application performance, and integrating GenAI into production systems to deliver measurable results for diverse stakeholders.

Skills

Experience Level

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Work Experience

Machine Learning Engineer at Tripplanning.biz

December 1, 2024 - Present

Engineered a GenAI-powered RAG reporting system with embeddings + Metadata API, cutting report generation time by 90% (8 hours → 4 minutes) while enabling dynamic search across 40+ environments. Developed a scalable Salesforce batch processing system for 15K+ Jira tickets that implemented GenAI for conversation summarization and ticket categorization, featuring intelligent API rate limit management and automated department routing, establishing new benchmarks for ML-driven workflow automation. Implemented parameter-efficient fine-tuning techniques to adapt GenAI models for conversation summarization, achieving 90% accuracy in automated department routing for 15K+ Jira tickets. Revamped React Native mobile app performance by replacing standard reducer structure with WatermelonDB, significantly improving data persistence and trip management feature responsiveness. Optimized Salesforce web application backend using Apex, Visualforce, and JavaScript, resolving critical bugs and refining

Data Scientist at CRST Transportation Solutions

August 1, 2024 - November 1, 2024

Led a predictive maintenance initiative by developing machine learning models using SQL to forecast trailer failures, preventing federal compliance fines and saving $1.2–$1.8M annually. Designed and deployed an interactive Apache Superset dashboard using SQL queries to deliver clear visual reports and predictive insights, enabling management to make data-driven decisions. Architected a scalable ML framework in Azure Databricks using PySpark to predict consignment ETAs and integrated Apache Kafka streams for near-real-time data processing, improving scheduling accuracy and logistics efficiency. Engineered an end-to-end data pipeline in Azure Databricks using PySpark and Apache Kafka for continuous model retraining and performance monitoring, ensuring predictive models remained up-to-date and maximizing supply chain reliability.

Machine Learning Engineer at Amdocs

June 1, 2021 - July 1, 2023

Developed an AI-powered chatbot for telecom customer interactions using Python, Neural Network (with RASA), and NLP collaborating with customer support teams; reduced manual support interventions by ~60% (From 25 tickets to around 15) and significantly improved response accuracy and user satisfaction. Automated deployment workflows by building custom CI/CD pipelines with Jenkins, Python, and shell scripts; cut deployment time from 2.5 workdays to ~1 hour (94% reduction) and enabled daily releases. Designed and deployed scalable AWS infrastructure (Auto Scaling, Elastic Load Balancing across multiple availability zones) for the chatbot platform; achieved >99% uptime and handled peak traffic smoothly. Leveraged AWS SageMaker to train and deploy custom NLP models for the chatbot, enabling real-time intent classification and sentiment analysis; improved chatbot contextual accuracy by 25% and streamlined the integration of model updates into the production pipeline. Built Jenkins pipelines

Software Engineer at BookBazar

August 1, 2019 - May 1, 2021

Built a secure and reliable e-commerce platform using Django and MySQL, leading to a 4x increase in sales. Integrated Razor pay payment APIs and implemented role-based access controls, enhancing transaction security and streamlining operations. Developed a real-time inventory tracking module with barcode scanning, automating stock updates and boosting operational productivity by 50%. Implemented Selenium automated testing and Apache JMeter load testing, identifying and resolving critical bugs to reduce system complaints by 30%. Executed SEO strategies using Google Keyword Planner and technical optimizations, increasing organic site traffic by 25% and enhancing platform visibility.