SAIANIRUTH M
Abstract AI background

SAIANIRUTH M

AI Scientist

Passionate about building intelligent systems that solve real-world problems through cutting-edge AI, machine learning, and robust ML engineering practices.

About Me

Bridging cutting-edge AI research with practical, production-ready solutions

Data Science Workspace

Who I Am

I'm a passionate AI Scientist specializing in intelligent systems that bridge research and real-world applications. My focus is on machine learning, deep learning, and data science solutions that deliver measurable impact.

What I Do

At 5C Network, I've contributed to groundbreaking medical imaging AI research:

  • Developed ensemble deep learning systems for automated fracture detection
  • Combined rigorous engineering practices with innovative AI methodologies
  • Created scalable, production-ready ML solutions

What Drives Me

I'm driven by AI's potential to transform industries and improve lives. Whether building robust ML pipelines, conducting research, or developing software applications, I deliver impact-driven work that pushes technological boundaries.

Experience

5C Network

Bengaluru, India

5C Network Logo

Data Scientist

June 2025 – PresentFull-time

AI Scientist Intern

January 2025 – May 2025Internship

Key Achievements & Responsibilities

Developed 22+ production-grade AI models for medical imaging analysis, including pediatric chest X-rays (98.14% accuracy), shoulder fractures (89.42% F1), tuberculosis/silicosis detection, and multi-pathology systems for ICU diagnostics

Built end-to-end ML pipelines using PyTorch, TensorFlow, and Hugging Face Transformers, processing 1.6M+ medical images with advanced preprocessing (CLAHE, LANCZOS) and augmentation techniques

Implemented ensemble learning systems combining DenseNet, EfficientNet, ResNet, Vision Transformers (ViT), CLIP, and YOLO architectures for robust clinical decision support across multiple modalities (X-ray, CT, MRI)

Designed scalable data engineering workflows using FastAPI, Docker, and cloud infrastructure (GCP), serving 1000+ real-time predictions per hour with sub-second latency and GPU optimization

Created multimodal AI systems integrating vision-language models (PaliGemma, CheXagent, Gemini) for automated radiology report generation, achieving 81.43% F1 score on findings/impressions tasks

Developed RAG-based retrieval systems using MetaCLIP and FAISS for image similarity search across 1.6M indexed studies, enabling unsupervised pathology exploration and historical report synthesis

Built intelligent automation workflows integrating Gmail API, WhatsApp Cloud API, and Gemini for diagnostic rework automation, eliminating manual message processing and ensuring 100% traceability

Engineered LLM-powered ATS system (QC-Hire) with dynamic resume scoring, custom MCQ generation, and multi-threshold evaluation, reducing manual shortlisting time by 70%

Technologies & Tools

Python
PyTorch
TensorFlow
Hugging Face
Scikit-learn
OpenCV
Pandas
NumPy
YOLO
Detectron2
Vision Transformers
CLIP
Gemini API
LangChain
FastAPI
Flask
Docker
Docker Compose
PostgreSQL
FAISS
GCP
Git
Weights & Biases
Streamlit
Linux
REST APIs

Research Publication

A Deep Learning-Based Ensemble System for Automated Shoulder Fracture Detection in Clinical Radiographs

DOI: 10.48550/arXiv.2507.13408

Research publication developed during tenure at 5C Network, presenting novel ensemble deep learning approach for medical imaging analysis.

Technical Skills

A comprehensive toolkit spanning AI/ML, software engineering, data science, and cloud infrastructure

Programming Languages

Python
SQL
C
C++
HTML/CSS
Bash Scripting

AI/ML Frameworks & Libraries

PyTorch
TensorFlow
Scikit-learn
Hugging Face Transformers
Keras
OpenCV
PyTorch Lightning
Ultralytics
Detectron2
Label Studio

Deep Learning Architectures

Vision Transformers (ViT)
ResNet
DenseNet
EfficientNet
U-Net
LSTM
BERT
Autoencoders

Object Detection & Vision

YOLO (v8/v11/v12)
Faster R-CNN
EfficientDet
RF-DETR
Mask R-CNN
Grad-CAM
DICOM Processing

GenAI & LLMs

Large Language Models (LLMs)
GPT API
Gemini API
LangChain
PaliGemma
CheXagent
CLIP / MedCLIP
Multimodal Models

Data Science & Analytics

Pandas
NumPy
Polars
Matplotlib
Seaborn
Plotly
Statsmodels
Power BI

MLOps & Cloud

MS Azure
Docker
MLflow
Weights & Biases
ONNX
TensorRT
Linux
Git

Web Development

FastAPI
Flask
Tailwind CSS
Shadcn-UI
Streamlit

Databases & Vector Stores

PostgreSQL
Clickhouse
FAISS

Projects

A comprehensive showcase of professional work and personal projects spanning AI, machine learning, data science, and software engineering.

Education

Government College of Technology Coimbatore

Coimbatore, India

GCT Coimbatore Logo
GPA: 8.0/10.0

Bachelor of Engineering in Electrical and Electronics Engineering

Oct 2021 – Apr 2025

Leadership & Activities

Training & Placement Coordinator

December 2022 – April 2025

Led training and placement activities, coordinating between students and industry partners. Organized skill development workshops, career guidance sessions, and facilitated recruitment processes to enhance student employability and industry readiness.

Data Science & ML Fellow

HyperVerge Academy • August 2023 – December 2024

Selected for an intensive fellowship program focusing on advanced data science and machine learning techniques. Completed specialized training in computer vision, deep learning frameworks, and industry-standard ML practices while working on real-world projects.

Get In Touch

Let's discuss opportunities in AI, machine learning, or software engineering. I'm always open to collaborating on innovative projects.

Email

sai2804aniruth@gmail.com

Location

Bangalore, India

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