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Tharunr0/README.md

πŸ’« About Me:

πŸš€ Tharun Rongala | Aspiring AI/ML Engineer

Bridging the gap between raw data and intelligent systems.

I am a Software Engineer and Data Analyst deeply invested in the world of Machine Learning, MLOps, and System Design. Currently, I'm focused on building scalable, data-driven products that don't just process informationβ€”they learn from it.

  • πŸ€– Currently Learning: Advanced Neural Networks & LLM Orchestration.
  • πŸ—οΈ Core Focus: Building reliable MLOps pipelines and high-performance system architectures.
  • πŸ“Š Philosophy: Data is the fuel, but well-designed systems are the engine.
  • πŸŽ“ Background: College Student / Software Development Enthusiast.

πŸ› οΈ Tech Stack:

🧠 Machine Learning & Data Science

Python NumPy Pandas Matplotlib SciKit-Learn PyTorch

πŸ’» Development & Systems

Go C++ Swift Bash Script

☁️ Cloud & Infrastructure

Google Cloud Docker MLOps


πŸ“ˆ Featured Projects:

πŸ–ΌοΈ Multimodal Embedding Search Engine

AI/ML + Vector Search > Developed a semantic search engine using CLIP and FAISS to enable cross-modal retrieval (Text-to-Image / Image-to-Image). Optimized for low-latency similarity searches in high-dimensional vector spaces.

PyTorch CLIP FAISS Python

πŸ”¬ High-Performance Histopathological CNN

Computer Vision + Oncology > Engineered a custom CNN architecture for classifying lung and colon cancer histopathological images. Focused on precision-recall optimization and model interpretability for medical AI applications.

Computer Vision Deep Learning TensorFlow/Keras OpenCV

🚦 Distributed API Rate Limiter (Containerized)

System Design + MLOps > Built a scalable, distributed rate-limiting service using a Token Bucket algorithm. Implemented with Go and Redis for state management, fully containerized for seamless deployment in microservice clusters.

Go Redis Docker System Design

πŸ“ˆ Recent Projects:

Project Focus Tech Stack
Multimodal Embedding Search Engine Vector Search / AI CLIP, FAISS, PyTorch
Lung & Colon Cancer Analysis Deep Learning / Medical AI CNN, Python

🌐 Connect with Me:

Email


⚑ Fun Fact:

When I'm not training models or debugging systems, you might find me tapping into my inner SAIYAN β€”unleashing maximum power into my code!

πŸ“Š GitHub Stats:




Pinned Loading

  1. threat-intelligence-visualization threat-intelligence-visualization Public

    Python 1

  2. Web-Threat-Analysis-Cyber-Security Web-Threat-Analysis-Cyber-Security Public

    Jupyter Notebook 1

  3. EDA-on-Football-Player-Injuries-main EDA-on-Football-Player-Injuries-main Public

    Jupyter Notebook

  4. generative-ai-for-beginners generative-ai-for-beginners Public

    Forked from microsoft/generative-ai-for-beginners

    21 Lessons, Get Started Building with Generative AI πŸ”— https://microsoft.github.io/generative-ai-for-beginners/

    Jupyter Notebook

  5. High-Performance-CNN High-Performance-CNN Public

    Python

  6. Multimodal-Search-Engine Multimodal-Search-Engine Public

    A CLIP-powered multimodal search engine using FAISS for high-performance semantic image-text retrieval on the COCO dataset.

    Python