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11 followers · 42 following

Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

Organizations

@WAT-ai @SWRIL-AI-NLP-Translation

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GuruprasannaRS/README.md

💫 About Me:

Hello! I’m a AI/ML Engineer with a strong background in Electrical & Computer Engineering and a Master’s (GPA: 3.9/4) from the University of Waterloo.

I design and deploy AI-powered solutions across Large Language Models (LLMs), NLP, Healthcare AI, and MLOps. My work spans from multi-agent systems at the UN, to healthcare imaging AI, to production-ready ML pipelines for schools and mental health platforms.

💼 Experience includes:

  • 🌍 UN-Habitat (Quality of Life Initiative) – Architected multi-agent LLM systems with LangGraph + Llama-3.3-70B, streaming dashboards for 20+ UN admins, and ingestion pipelines with PGVector + AWS.
  • 🧠 HolisticMindAI – Developed RAG pipelines (recall 68% → 92%), implemented WhisperX + PyAnnote speaker diarization, and built therapy AI platforms with AWS Bedrock + FastAPI.
  • 🩻 X-Care (Healthcare AI) – Built two-stage fracture detection with EfficientNet + YOLOv8 (94% accuracy, IoU >0.85) and optimized training with Optuna (60% faster).
  • 🏫 Region of Waterloo (SWRIL) – Fine-tuned Mistral-7B with LoRA, deployed Hugging Face GGUF inference models, and automated CI/CD for 5+ school boards.
  • ⚙️ Automation Engineering (Industry) – Built LabVIEW + MySQL sensor pipelines, predictive XGBoost models, and automated robotic assembly lines.

⚡ I’m actively looking for full-time roles in Machine Learning, Generative AI, Applied AI Engineering, or MLOps.

🌐 Socials:

LinkedIn
GitHub

💻 Tech Stack:

Languages
Python C++ SQL

Machine Learning & Deep Learning
PyTorch TensorFlow scikit-learn
Keras OpenCV
Optuna

LLMs & NLP
Hugging Face LangChain LlamaIndex
SpaCy NLTK
LoRA QLoRA
WhisperX PyAnnote LlamaParse

MLOps & Deployment
Docker FastAPI Flask
MLflow CI/CD Celery
Redis WebSockets

Data & Analytics
NumPy Pandas Matplotlib Seaborn Tableau

Cloud
AWS Azure

Pinned Loading

  1. FashionVision-Multi-Architecture-CNN-Analysis FashionVision-Multi-Architecture-CNN-Analysis Public

    FashionVision: Multi-Architecture CNN Analysis

    Jupyter Notebook

  2. Translational-NLI Translational-NLI Public

    Translating NLI - Investigating the Impact of Cross Lingual Data on Classification Performance in Fever NLI

    Jupyter Notebook 1

  3. 2D-to-3D-Image-Reconstruction 2D-to-3D-Image-Reconstruction Public

    Comparison of Feature Matching Techniques in 2D - 3D Construction for Medical Applications

    Python

  4. Image-Denoising-with-Convex-Optimization Image-Denoising-with-Convex-Optimization Public

    Harnessing Convex Optimization Techniques for Image Denoising

    Jupyter Notebook

  5. FasterRCNN-Embed-Extract FasterRCNN-Embed-Extract Public

    This code helps to extract the embeddings of the Images using Faster RCNN Model

    Jupyter Notebook

  6. NeuralNet-Toolkit-CNN-RNN-NLP-Implementations NeuralNet-Toolkit-CNN-RNN-NLP-Implementations Public

    NeuralNet Toolkit: CNN, RNN & NLP Implementations

    Jupyter Notebook