Harsha Vardhan Reddy Guntaka
Hyderabad
Summary
An organized AI Engineer with 5 years of hands-on experience specializing in deep learning. Proficient in understanding business requirements and translating them into effective AI solutions. Managed multiple projects concurrently, prioritizing tasks effectively to meet deadlines and achieve project milestones. Proven expertise in MLOps workflow, proficient in creating robust pipelines for efficient AI model deployment and management.
Overview
5
5
years of professional experience
3
3
Certification
Work History
AI Engineer
Samsung Electro Mechanics
Bangalore
09.2023 - Current
- Worked on a web based application for AI project pipeline building from data loading, preprocessing to the model serving using Kubeflow and Kubernetes backend.
- Building customer defined project specific pipelines for the tabular and image data, Bench marking the platform by creating pipelines of standard datasets in Kubeflow using kfp module.
- Monitoring the Kubernetes cluster resource, services with Grafana, and validating namespace's, pods creation and run for the project created in the Application UI.
- Manage the notebooks, experiments and runs in Kubeflow and make sure the successful pipeline and building project yaml files.
- validating Both path, API deployments and continues monitoring of data drift and model performance.
AI Engineer
Samsung Electro Mechanics
Bangalore
08.2021 - Current
- Frontier is a stand alone windows application built for generating deep learning models using both TensorFlow and pytorch.
- Led enhancements to segmentation module, achieving a 15%+ increase in model accuracy through rigorous analysis and iterative optimization, resulting in substantial operational efficiencies.
- Handled Foundation models(Multi models) like BLIP, clip(contrastive language image pretraining). which improved classification defect accuracy by 5%.
- Conducting comparative analysis between inference of TensorFlow, TensorRT, pytorch models performance.
Data Scientist
Plus Info Ltd
London
05.2020 - 06.2021
- Developed a large-scale instance-level image recognition system for Lendlease, which detects and describes semantic local features and can be geometrically verified between images showing the same object instance. Implemented Transfer learning to extract image embeddings.
- Essentially a solution that allows marketers to offer their customers relevant product recommendations in real-time and increase the overall revenue by 5-8% using ResNet-50 and Annoy Index.
GIS Engineer
IIC Technologies
Hyderabad
07.2016 - 10.2017
- Projects worked on 2611A, 2475 urban green space projects for Ordnance Survey.
- Primary duties include analyzing spatial data through mapping software, Annotation tools and designing digital maps, mask generation for geographic data and various other data sets.
- Annotated large geospatial datasets, ensuring accurate labeling of features such as roads, buildings, land use, and vegetation.
- Achieved a 98% accuracy rate in annotated datasets, through continuous refinement of labeling guidelines and contributing to the development of highly effective AI models and improving model performance in real-world applications.
Education
Master of Science - Artificial Intelligence With Robotics
University of Hertfordshire
London - UK06-2020
Bachelor of Science - Mechanical Engineering
JNTU-Kakinada
Guntur 05-2016
Skills
- Python Programming
- SQL
- Statistics
- Model Development
- Software Testing and Validation
- Performance Evaluation and Optimization
- Source and Version Control: Git, GitHub, Bitbucket
- Continuous Integration Systems
- Neural Networks
- Windows/Linux
- Azure/ AWS
- Machine Learning
Certification
- Mlops specialization - Psitron Technologies Pvt.Ltd.
- Natural Language Processing in TensorFlow
- Sequences, Time Series and Prediction
- Microsoft Azure Data Scientist Associate (DP-100) - Microsoft
Additional Projects
MLOps in cloud:
- Developed a CI/CD pipeline for machine learning using AWS CodePipeline and AWS SageMaker, automating model training, testing, and deployment to complete the MLOps cycle.
- Integrated AWS CodeBuild and AWS SageMaker for continuous integration and delivery, streamlining model management and deployment processes within the MLOps framework.
- Implemented automated workflows with AWS CodePipeline and SageMaker, optimizing end-to-end machine learning operations and enhancing model deployment efficiency.
- Implemented a complete MLOps pipeline using Azure DevOps and Azure Machine Learning, automating model training, validation, and deployment for seamless integration and monitoring.
References
References available upon request.
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Work Preference
Work Type
Full TimeWork Location
On-SiteRemoteHybridImportant To Me
Company CultureWork-life balanceCareer advancementPersonal development programsTimeline
AI Engineer
Samsung Electro Mechanics
09.2023 - Current
AI Engineer
Samsung Electro Mechanics
08.2021 - Current
Data Scientist
Plus Info Ltd
05.2020 - 06.2021
GIS Engineer
IIC Technologies
07.2016 - 10.2017
Master of Science - Artificial Intelligence With Robotics
University of Hertfordshire
Bachelor of Science - Mechanical Engineering
JNTU-Kakinada
- Mlops specialization - Psitron Technologies Pvt.Ltd.
- Natural Language Processing in TensorFlow
- Sequences, Time Series and Prediction
- Microsoft Azure Data Scientist Associate (DP-100) - Microsoft
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