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Hello! I’m Nimesh Kumar Boggu Lai, a software developer with a strong focus on cloud-native applications, data pipelines, and scalable microservices. I thrive on turning complex data problems into reliable, observable systems using Python, AWS, Kubernetes, and modern ML tooling. I’m drawn to practical architectures, robust CI/CD, and collaborative delivery that drives measurable business impact. Currently, I’m pursuing a Master of Science in Advanced Data Analytics at the University of North Texas, where I’m building scalable data ingestion frameworks, deploying ML models on AWS, and contributing to research efforts. I enjoy bridging academia and industry by delivering production-grade pipelines and dashboards that empower teams to make data-driven decisions.…Hello! I’m Nimesh Kumar Boggu Lai, a software developer with a strong focus on cloud-native applications, data pipelines, and scalable microservices. I thrive on turning complex data problems into reliable, observable systems using Python, AWS, Kubernetes, and modern ML tooling. I’m drawn to practical architectures, robust CI/CD, and collaborative delivery that drives measurable business impact. Currently, I’m pursuing a Master of Science in Advanced Data Analytics at the University of North Texas, where I’m building scalable data ingestion frameworks, deploying ML models on AWS, and contributing to research efforts. I enjoy bridging academia and industry by delivering production-grade pipelines and dashboards that empower teams to make data-driven decisions.

Nimesh Kumar Boggula

Full Stack Developer, Data Scientist, Developer, +4

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Hello! I’m Nimesh Kumar Boggu Lai, a software developer with a strong focus on cloud-native applications, data pipelines, and scalable microservices. I thrive on turning complex data problems into reliable, observable systems using Python, AWS, Kubernetes, and modern ML tooling. I’m drawn to practical architectures, robust CI/CD, and collaborative delivery that drives measurable business impact. Currently, I’m pursuing a Master of Science in Advanced Data Analytics at the University of North Texas, where I’m building scalable data ingestion frameworks, deploying ML models on AWS, and contributing to research efforts. I enjoy bridging academia and industry by delivering production-grade pipelines and dashboards that empower teams to make data-driven decisions.…Hello! I’m Nimesh Kumar Boggu Lai, a software developer with a strong focus on cloud-native applications, data pipelines, and scalable microservices. I thrive on turning complex data problems into reliable, observable systems using Python, AWS, Kubernetes, and modern ML tooling. I’m drawn to practical architectures, robust CI/CD, and collaborative delivery that drives measurable business impact. Currently, I’m pursuing a Master of Science in Advanced Data Analytics at the University of North Texas, where I’m building scalable data ingestion frameworks, deploying ML models on AWS, and contributing to research efforts. I enjoy bridging academia and industry by delivering production-grade pipelines and dashboards that empower teams to make data-driven decisions.

Available to hire

Hello! I’m Nimesh Kumar Boggu Lai, a software developer with a strong focus on cloud-native applications, data pipelines, and scalable microservices. I thrive on turning complex data problems into reliable, observable systems using Python, AWS, Kubernetes, and modern ML tooling. I’m drawn to practical architectures, robust CI/CD, and collaborative delivery that drives measurable business impact.

Currently, I’m pursuing a Master of Science in Advanced Data Analytics at the University of North Texas, where I’m building scalable data ingestion frameworks, deploying ML models on AWS, and contributing to research efforts. I enjoy bridging academia and industry by delivering production-grade pipelines and dashboards that empower teams to make data-driven decisions.

Skills

Experience Level

Expert

Expert

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Language

English

Fluent

Work Experience

Software Developer at Epsilon

October 1, 2025 - November 18, 2025

Implemented scalable data processing services in Python (FastAPI, PySpark) and .NET Core, running on AWS Lambda and DynamoDB, optimizing real-time analytics for 15M+ daily interactions. Synchronized workflow automation using Apache Airflow and MLflow, managing 40+ model training runs weekly with complete lineage tracking for production-grade analytics.

Research Assistant at University of North Texas

May 1, 2025 - May 1, 2025

Developed a scalable data ingestion and pre-processing framework in Python (Pandas, NumPy) to process 5M+ academic records, enabling NLP-based publication analytics. Integrated .NET-based APIs to improve interoperability between Python analytics modules and the research database. Deployed ML models using TensorFlow and Scikit-Learn on AWS EC2 and SageMaker, managing 200 GB of data to enhance model precision. Systematized ML workflows with Apache Airflow and MLflow, streamlining 30+ training runs and cutting manual setup time by 4 hours per cycle. Created interactive dashboards with Tableau and Plotly to drive data-driven decisions.

Software Developer at Airbnb India

June 1, 2023 - June 1, 2023

Built RESTful backend APIs using Python (FastAPI, Flask) & .NET Core, connected to PostgreSQL, handling 60K+ daily booking transactions while reducing average response latency by 200 ms with advanced query tuning. Automated containerized deployments on Azure Kubernetes Service (AKS) using Docker, Kubernetes, and Terraform, enabling 15+ service rollouts per sprint and maintaining environment consistency. Designed a Kafka-based event streaming pipeline to process 1M+ user actions daily, strengthening pricing analytics and real-time recommendations. Refined CI/CD pipelines in GitHub Actions and Jenkins, reducing build duration from 12 min to 4 min and accelerating QA validation cycles. Collaborated with a global Agile team of 8 developers and analysts to deliver 4 feature releases improving host dashboards analytics and feedback visibility.

Software Developer at Dell Technologies

July 1, 2022 - July 1, 2022

Formulated backend microservices in Python (Flask, FastAPI) and .NET Core with PostgreSQL, handling 50K+ API calls daily and improving data retrieval by 2 hours per sprint through optimized queries. Established CI/CD pipelines with Jenkins and Docker, delivering 8+ builds weekly with minimal manual effort. Provisioned Azure Functions, Blob Storage, and Virtual Machines via Terraform, reducing setup time from 3 hours to 45 minutes while maintaining compliance. Optimized real-time monitoring by deploying Prometheus & Grafana dashboards, reducing incident resolution time by 30 minutes per alert. Collaborated with an Agile team to design scalable RESTful APIs, enhancing inter-service communication and enabling new feature rollouts.

Research Assistant at University of North Texas

September 1, 2024 - May 1, 2025

Developed a scalable data ingestion and preprocessing framework in Python (Pandas, NumPy) to process 5M+ academic records, enabling NLP-based public publication analytics. Integrated .NET-based API services to improve interoperability between Python analytics models and the research data base. Deployed machine learning models using TensorFlow and Scikit-Learn on AWS EC2 and SageMaker, managing 200 GB of data to enhance model precision. Systematized ML workflows with Apache Airflow and MLflow, streaming 30+ training runs and cutting manual setup time by 4 hours per cycle. Crafted interactive dashboards using Tableau and Plotly, driving data-driven decisions across research projects.

Software Developer at Airbnb

August 1, 2022 - June 1, 2023

Constructed RESTful backend APIs using Python (FastAPI, Flask) & .NET Core, connected with PostgreSQL, handling 60K+ daily booking transactions while cutting average response latency by 200 ms through advanced querying. Automated containerized deployments on Azure Kubernetes Service (AKS) using Docker, Kubernetes, and Terraform, enabling 15+ service rollouts per sprint and maintaining environment consistency. Devised a Kafka-based event streaming pipeline to process 1M+ user actions daily, strengthening pricing analytics and real-time recommendation systems. Refined CI/CD pipelines in GitHub Actions and Jenkins, reducing build duration from 12 minutes to 4 minutes and accelerating QA validation cycles. Partnered with a global Agile team of 8 developers and analysts, delivering 4 feature releases that enhanced host dashboard analytics and feedback visibility.

Software Developer at Dell Technologies

May 1, 2021 - July 1, 2022

Formulated backend microservices in Python (Flask, FastAPI) and .NET Core with PostgreSQL, handling 50K+ API calls daily and improving data retrieval by 2 hours per sprint through optimized queries. Established CI/CD pipelines with Jenkins and Docker, delivering 8+ builds weekly with minimal manual effort to enhance team productivity. Provisioned Azure Functions, Blob Storage, and Virtual Machines via Terraform, reducing setup time from 3 hours to 45 minutes while maintaining compliance. Optimized real-time monitoring by deploying Prometheus & Grafana dashboards, reducing incident resolution time by 30 minutes per alert. Collaborated with an Agile team to design scalable RESTful APIs, improving inter-service communication and enabling new feature rollouts.