Deepak Reddy Narra-AI Engineer
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Experience
Machine Learning Engineer
go AVA GmbH
- Designed and built a multi-tenant Python/Flask API platform with JWT + API-key authentication, scoped access control, and service-level orchestration as the backbone for AI applications.
- Built a multimodal RAG system with hybrid chunking, dense/sparse embeddings, hybrid retrieval, reranking, and vector search to deliver grounded, high-precision responses across enterprise data.
- Productionized AI workflows with Docker, CI/CD, Redis-backed async job tracking, webhook callbacks, external AI/media service integrations, and runtime health/reliability controls.
Master's Thesis (E/E Automotive Architecture)
Volkswagen AG
- Implemented advanced clustering (K-means, Hierarchical Clustering, DBSCAN, HDBSCAN) to identify patterns in complex automotive datasets and deliver insights for executive decision-making.
- Applied anomaly detection methods (Isolation Forest, One-Class SVM) to detect outliers, while deploying ML models within a Flask web app for real-time analysis.
Data Scientist Intern (E/E Automotive Architecture)
Volkswagen AG
- Developed a Flask-based web application featuring interactive dashboards with DevExtreme and Plotly, enabling executive teams to make data-driven decisions with real-time insights.
- Designed RESTful APIs in Python for efficient data flow and integrated CI/CD pipelines to streamline deployment, creating a strong foundation for advanced ML analyses and continuous improvements.
Machine Learning Intern (ADAS Driving Dynamics)
Volkswagen AG
- Investigated JPEG compression effects on semantic segmentation using DeepLabV3 with a ResNet50 backbone to optimize ADAS model performance.
- Conducted experiments on varying compression ratios, analyzing key metrics (mIoU, pixel accuracy) with MMSegmentation and OpenCV to enhance efficiency.
Software Engineer (Embedded Systems Design)
C-DAC
- Developed a video-processing algorithm and trained a CNN to monitor object distances, enabling real-time collision detection and integration with vehicle warning systems on a Raspberry Pi.
Industry Experience
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Experienced in Information Technology and Automotive.
Business Area Experience
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Experienced in Information Technology, Product Development, Research and Development, Operations, and Business Intelligence.
Summary
Experienced AI Engineer with strong AI/ML and backend expertise across scalable Python platforms and data-driven applications. Skilled in building production models, containerized workflows, and business-ready intelligent systems.
Skills
- Python
- Sql/Nosql
- Javascript/Typescript
- Shell
- Embedded C
- Pytorch/Tensorflow
- Vlm
- Scikit-Learn
- Langchain
- Hugging Face
- Openai
- Flask
- Pandas/Numpy
- Postgresql/Sqlalchemy
- Redis
- Qdrant
- Jquery
- Docker
- Ci/Cd
- Mlflow
- Github Actions
- Obs/S3
- Swagger/Postman
Languages
Education
Otto-von-Guericke-University
Master of Science · Data Science · Magdeburg, Germany
Statistics
Experience
Global Experience
Expertise
Qualifications
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