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6 followers · 5 following

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Achievements

Achievement: Pull SharkAchievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault Contributor

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Pradyothsp/README.md

✫ About Me:

⌨️ What I Do:

  • 🚀 Experienced Software Engineer | Backend & Machine Learning Specialist specializing in scalable web applications and ML integrations.
  • 🤖 Passionate about AI, Machine Learning, and Automation.
  • 🎯 Expertise in Computer Vision, Deep Learning, and MLOps.

🏆 Professional Experience:

  • 💼 Software Developer at BNY Mellon: Currently contributing to the development of Bridge Alternatives, a platform aimed at streamlining alternative investment processes.

  • 🧠 Data Scientist - Computer Vision at MVP Index: Focused on developing AI-driven computer vision solutions to accurately measure the value of partnerships and activations within images and videos.

  • 🛠️ Lead Developer at Qnix: Led the backend development for multiple AI-driven projects, including advanced camera analytics and real-time monitoring solutions. Architected efficient API schemas and optimized machine learning pipelines for large-scale deployments.

  • 🏗️ ML Engineer at Qnix: Built and deployed deep learning models for person detection, face clustering, and object recognition. Developed end-to-end MLOps solutions to automate model training and deployment on cloud infrastructure.

🏆 Recent Projects:

  • 🎥 Large-Scale Automated Fish Video Analysis for US Fish and Wildlife Foundation: Developed a computer vision-based system for species identification and measurement, optimizing processing efficiency and accuracy.
  • 🏢 Industrial Computer Vision: Worked on object detection and tracking for manufacturing process automation.
  • 📊 Predictive Analytics for E-commerce: Built ML models for customer behavior forecasting and product recommendation.

👥 Looking to Collaborate On:

  • 🔓 Open-source ML, Deep Learning, and MLOps projects.
  • 🔎 Computer Vision applications in various domains.
  • 🌎 AI for social good, including conservation and sustainability efforts.
  • 🛠️ Scalable backend development with Django, Flask, FastAPI.
  • 🎥 ML applications in video analytics and real-time processing.
  • 📈 Data science, predictive modeling, and analytics.

🚀 Exploring & Learning:

  • 🤖 Advanced AI models (LLMs, Vision Transformers).
  • ☁️ Scalable ML deployments on AWS, Azure, and GCP.
  • ⚙️ Efficient workflow automation with Prefect and Airflow.

🌐 Socials:

LinkedIn Medium

💻 Tech Stack:

Programming Languages

Python Rust Markdown LaTeX Shell Script

Software Development

Django Flask FastAPI JWT Pytest DjangoREST GraphQL

Cloud & DevOps

AWS Docker Apache Airflow Prefect GitLab CI GitHub Actions

Big Data

Apache Kafka Apache Spark Apache Hadoop Apache Hive

Databases

AmazonDynamoDB Couchbase Postgres Neo4J MySQL MongoDB SQLite

Machine Learning & Data Science

scikit-learn Scipy TensorFlow PyTorch Plotly Pandas NumPy Matplotlib Keras OpenCV

Tools & Utilities

Postman FFmpeg Gimp Bitwarden Anaconda

✍️ Random Dev Quote

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  1. backorder-prediction backorder-prediction Public

    This is a Django web application that uses machine learning to predict whether a product will go on backorder or not. It uses a pre-trained Random Forest Classifier, Decision Tree and LGBM models t…

    Jupyter Notebook 2

  2. person-detection-using-embarrassingly-parallel-computating person-detection-using-embarrassingly-parallel-computating Public

    This project aims to demonstrate the use of embarrassingly parallel computing techniques for detecting persons in video frames.

    Python 1

  3. Customer_Segmentation_Clustering Customer_Segmentation_Clustering Public

    This project aims to use k-means and Agglomerative clustering to segment customers into different groups based on their characteristics and purchasing habits. The goal is to understand the similari…

    Jupyter Notebook

  4. bd-pipeline bd-pipeline Public

    This project involves building a big data pipeline to source, process, and visualize data. The pipeline consists of multiple steps, including data sourcing using Python, Kafka for data streaming, A…

    Jupyter Notebook 1

  5. dv-world-energy-consumption dv-world-energy-consumption Public

    The "World Energy Consumption Visualized" project uses interactive visualizations to explore the dynamic connection between global energy consumption and economic prosperity, offering insights thro…

    JavaScript 1