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Hi, I’m Bharath Komaragiri, an AI/ML Engineer with over 5 years of experience building and evaluating large language models, generating and curating datasets, and implementing RLHF workflows to improve model performance. I’ve led data pipelines for retrieval-augmented generation (RAG) tasks, collaborated across teams to design AI-driven KPIs, and contributed to enterprise-scale ML/AI solutions that drive measurable outcomes. I work well in remote, project-based settings, am passionate about experimentation and data-driven storytelling, and enjoy learning new tools to keep delivering robust, scalable AI solutions. I value clear documentation and knowledge sharing to uplift teams and accelerate product adoption.…Hi, I’m Bharath Komaragiri, an AI/ML Engineer with over 5 years of experience building and evaluating large language models, generating and curating datasets, and implementing RLHF workflows to improve model performance. I’ve led data pipelines for retrieval-augmented generation (RAG) tasks, collaborated across teams to design AI-driven KPIs, and contributed to enterprise-scale ML/AI solutions that drive measurable outcomes. I work well in remote, project-based settings, am passionate about experimentation and data-driven storytelling, and enjoy learning new tools to keep delivering robust, scalable AI solutions. I value clear documentation and knowledge sharing to uplift teams and accelerate product adoption.

Bharath Komaragiri

AI Engineer, AI Strategy Consultant, AI Developer, +4

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Hi, I’m Bharath Komaragiri, an AI/ML Engineer with over 5 years of experience building and evaluating large language models, generating and curating datasets, and implementing RLHF workflows to improve model performance. I’ve led data pipelines for retrieval-augmented generation (RAG) tasks, collaborated across teams to design AI-driven KPIs, and contributed to enterprise-scale ML/AI solutions that drive measurable outcomes. I work well in remote, project-based settings, am passionate about experimentation and data-driven storytelling, and enjoy learning new tools to keep delivering robust, scalable AI solutions. I value clear documentation and knowledge sharing to uplift teams and accelerate product adoption.…Hi, I’m Bharath Komaragiri, an AI/ML Engineer with over 5 years of experience building and evaluating large language models, generating and curating datasets, and implementing RLHF workflows to improve model performance. I’ve led data pipelines for retrieval-augmented generation (RAG) tasks, collaborated across teams to design AI-driven KPIs, and contributed to enterprise-scale ML/AI solutions that drive measurable outcomes. I work well in remote, project-based settings, am passionate about experimentation and data-driven storytelling, and enjoy learning new tools to keep delivering robust, scalable AI solutions. I value clear documentation and knowledge sharing to uplift teams and accelerate product adoption.

Available to hire

Hi, I’m Bharath Komaragiri, an AI/ML Engineer with over 5 years of experience building and evaluating large language models, generating and curating datasets, and implementing RLHF workflows to improve model performance. I’ve led data pipelines for retrieval-augmented generation (RAG) tasks, collaborated across teams to design AI-driven KPIs, and contributed to enterprise-scale ML/AI solutions that drive measurable outcomes.

I work well in remote, project-based settings, am passionate about experimentation and data-driven storytelling, and enjoy learning new tools to keep delivering robust, scalable AI solutions. I value clear documentation and knowledge sharing to uplift teams and accelerate product adoption.

Skills

Experience Level

Expert

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Intermediate

Language

Afar

Advanced

English

Advanced

Work Experience

AI/ML Engineer at UnitedHealth Group

January 1, 2024 - Present

Designed and deployed scalable supervised and unsupervised learning models using Python, Scikit-learn, and ensemble methods, improving predictive accuracy by 25% across multiple business functions. Built and fine-tuned deep learning architectures including CNNs, RNNs, LSTMs, GANs, and autoencoders utilizing TensorFlow and PyTorch to tackle complex image recognition and sequence modeling tasks. Developed NLP pipelines leveraging NLTK, spaCy, TextBlob, and Hugging Face Transformers to automate sentiment analysis and document classification with over 90% precision. Created dynamic data visualizations and executive dashboards with Tableau and Seaborn, enhancing stakeholder decision-making through real-time analytics and model performance metrics. Managed cloud infrastructure and model training on AWS SageMaker, Lambda, EC2, and S3 achieving scalable deployment and reducing compute costs by 30%. Maintained and optimized PostgreSQL and MySQL databases for efficient data storage and integrati

AI/ML Engineer at Mindtree

November 30, 2022 - July 22, 2025

Led end-to-end model development using Scikit-learn, XGBoost, and LightGBM for classification and regression projects, improving business forecasting accuracy by over 30%. Applied transfer learning with TensorFlow and PyTorch to accelerate training and enhance accuracy in image and text applications. Developed and deployed computer vision systems using OpenCV, YOLO, and TensorFlow Object Detection API, achieving automated detection with over 95% precision on real-time video streams. Managed big data processing workflows with Hadoop, Hive, and Kafka for handling large, unstructured datasets and real-time streaming integration into ML pipelines. Delivered production-ready ML models with TensorFlow Serving and ONNX for low-latency scalable inference in containerized environments. Automated deployment pipelines with Kubernetes and Azure ML for experiment tracking, model management, and cloud-hosted training. Designed and presented analytical dashboards and KPIs via Power BI to communicate

AI/ML Engineer at UnitedHealth Group

January 1, 2024 - Present

Designed and deployed scalable supervised and unsupervised learning models improving predictive accuracy by 25%. Built and fine-tuned deep learning architectures leveraging TensorFlow and PyTorch for complex image recognition and sequence modeling tasks. Developed NLP pipelines enabling automated sentiment analysis and document classification with over 90% precision. Delivered dynamic data visualizations and executive dashboards improving stakeholder decision-making. Managed cloud infrastructure and model training using AWS services achieving scalable deployment and reducing compute costs by 30%. Maintained PostgreSQL and MySQL databases for efficient data operations.

AI/ML Engineer at Mindtree

November 1, 2022 - August 6, 2025

Led end-to-end model development using Scikit-learn, XGBoost, and LightGBM improving business forecasting accuracy by over 30%. Applied transfer learning with TensorFlow and PyTorch to boost accuracy and reduce training time. Developed and deployed computer vision solutions enabling automated detection with 95%+ precision. Managed big data workflows with Hadoop, Hive, and Kafka for high-volume unstructured data integration. Built and served production-ready ML models enabling low-latency scalable inference. Automated model deployment with Kubernetes and Azure ML. Delivered analytical dashboards using Power BI and leveraged GitHub for collaboration in Agile teams.

AI/ML Engineer at UnitedHealth Group

January 1, 2024 - October 27, 2025

Generated and curated datasets for training and evaluating enterprise-scale ML/AI solutions, contributing to end-to-end design, development, and deployment. Implemented RLHF workflows to improve model performance in speech recognition, NLP, and computer vision tasks, enhancing user experience and product adoption. Built and maintained data pipelines for Retrieval-Augmented Generation (RAG) using Spark Streaming, Kafka, and Flink, processing 10M+ events/day with high reliability. Championed MLOps practices with Kubernetes, Kubeflow, and MLflow to standardize CI/CD workflows, reducing deployment cycle time from weeks to hours. Documented processes and provided clear reporting on progress and outcomes, partnering with cross-functional teams to define AI-driven KPIs and deliver actionable insights that increased operational efficiency by 20%. Mentored junior engineers on RLHF methodologies, data generation techniques, and model deployment best practices, especially in remote settings.

AI/ML Engineer at Mindtree

November 1, 2022 - November 1, 2022

Generated and curated datasets for training ML models in supervised/unsupervised tasks like regression, classification, and clustering, improving prediction accuracy by up to 30% in production systems. Implemented RLHF-inspired workflows to enhance deep learning models including CNNs, RNNs, and LSTMs using TensorFlow and PyTorch, enabling real-time analytics and reducing model training time through hyperparameter tuning. Conducted vector operations in NLP pipelines for text preprocessing, sentiment analysis, and NER using Hugging Face Transformers, increasing text classification accuracy from 78% to 92% while managing data for RAG tasks. Collaborated on experiments for model improvements in computer vision solutions with YOLO and ResNet, achieving 95%+ accuracy in defect detection across large-scale image datasets. Managed data pipelines and ETL workflows with PySpark, Pandas, and Dask for dataset curation, reducing manual data wrangling by 40 hours/month and improving pipeline efficie