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Praveen Krishna Murthy

Data Scientist

About Me

Career Overview & Key Highlights

Experienced Data Scientist and IT System Architect, with 9+ years in AI, machine learning, deep learning, and Kubernetes-based deployments. Expertise in MLOps, scalable AI models.. Passionate about AI-driven automation and real-world ML applications.

Key Achievements
  • AI & ML Expertise: Developed computer vision, NLP, and deep learning models, optimizing real-world AI applications.
  • MLOps & Cloud Deployments: Designed Kubernetes-based AI pipelines, automated CI/CD for AI workflows, and built scalable cloud-native architectures on AWS, GCP, and Azure.
  • Big Data & Automation: Engineered large-scale data pipelines for real-time AI-driven automation, enhancing inference speeds and optimizing model deployment cycles.
  • Industry Experience: Worked with Robert Bosch GmbH, PolarGold GmbH, and Vattenfall Energy Trading, leading AI-driven transformations in automotive, manufacturing, and energy sectors.

Projects on Github

Generic Python

Check it on Github

Golang REST API

ecommerce related project - Github
Generic Practice Scripts - Github
CRUD based - Github

Data Science and Machine Learning

Data Science Basics - Github
Loss functions - Github
Prediction Prob - Github
iot sensor data - Github

Computer Vision

Image Processing - Github
Computer Visions - Github
Swift Scripts - Github
Brightness Control - Github

Deeplearning Images & Audio

Deeplearning Basics - Github
Variational AutoEncoder - Github
GAN Tutorials - Github
Audio based Pitch Detection - Github

Deeplearning NLP

NLP-LLMs - Github
RAG,ChatBot,LlamaIndex..,Misc - Github
Web-Summarizer Tool - Github
More on GitHub

Technical Blogs

Technical Challenges

Downgrade CuDA - Read Blog

Basics of Neural Network

Basics of Neural Network-1 - Read Blog
Basics of Neural Network-2 - Read Blog
Basics of Neural Network-3 - Read Blog
Basics of Neural Network-4 - Read Blog
Kaggle Beginner - Read Blog

Audio based Deeplearning

Audio based Deeplearning - Read Blog

Images based Deeplearning

Variational AutoEncoder-1 - Read Blog
Variational AutoEncoder-2 - Read Blog
Deeplearning based Pitch Detection - Read Blog
Synthetic Datageneration - Read Blog

NLP based Deeplearning

Introduction to LLM - Read Blog
Hallucination, Bias and Evaluation - Read Blog
Prompts Communication with LLMs - Read Blog
Frameworks of LLMs - LanChain and LlamaIndex - Read Blog
Model Optimization - Read Blog
More on Medium

Work Experience

Infrastructure Architect - Robert Bosch GmbH (2022 - Present)

  • Led the development of a Kubernetes-based AI pipeline architecture, integrating model training, inference, monitoring, and secrets management to enhance system efficiency and scalability.
  • Automated AI-driven CI/CD workflows using Python and Ansible, achieving 95% deployment automation, reducing big data pipeline deployment time to a few seconds.
  • Designed and optimized a big data processing pipeline supporting AI-based Automated Optical Inspection (AOI) for real-time manufacturing defect detection (~1 million data points/day).
  • Assisted in optimizing AI model load balancing mechanisms and debugging inference pipelines, improving model stability and system performance.
  • Managed AI software lifecycle upgrades, ensuring up-to-date frameworks and model deployments with 98% stability confidence for a seamless production environment.
  • Conducted training sessions on AI model deployment best practices, Kubernetes adoption, and system reliability, including on-site business trips to improve AI infrastructure adoption.

Data Scientist - PolarGold GmbH (2019 - Present)

  • Developed an AI-powered object identification system for small parts (<1cm) using segmentation and filtering in a multi-modal pipeline, enhancing detection accuracy.
  • Optimized inference time by 30% through model quantization and transitioning image processing from Python to C++ for improved efficiency.
  • Built a MobileNet-based MVP for rapid prototyping using Streamlit and FastAPI, enabling real-time image analysis and deployment.
  • Prototyped an iOS-based AI solution using CoreML, UIKit, and ARKit for on-device product identification, leveraging Apple's AI ecosystem.
  • Implemented ARKit-based measurement techniques for length and thickness-based product identification, enhancing real-world AI applications.
  • Designed a scalable AWS pipeline with GPU-accelerated microservices, enabling high-performance AI-driven image processing in the cloud.
  • Explored generative AI techniques by leveraging latent space representations of generative models for image synthesis and augmentation.

Analysis Modelling - Vattenfall Energy Trading (2018 - 2019)

  • Executed ETL (Extract, Transform, Load) processes for energy trading data, resolving type errors and optimizing data conversions for seamless integration.
  • Automated data ingestion into Azure SQL Database, scheduling it as a cron job to ensure real-time data availability.
  • Developed an interactive trading analytics dashboard using Dash by Plotly, enabling 30+ traders to perform real-time data analysis and decision-making.
  • Enhanced data visualization and accessibility, improving trader productivity by 2× through intuitive and dynamic insights.
  • Conducted regression analysis to uncover key parameter dependencies in trading data, supporting data-driven strategy optimization.

Software Engineer Analyst- Accenture India Pvt Ltd (2012 - 2013)

  • Application developer in PEGA, JAVA built tool
  • Optimization of the interface between IT operations
  • Conception and implementation of innovative solutions in the area of enterprise content management