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

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

June 2025 – Present • Full-time
January 2025 – May 2025 • Internship
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%
DOI: 10.48550/arXiv.2507.13408
Research publication developed during tenure at 5C Network, presenting novel ensemble deep learning approach for medical imaging analysis.
A comprehensive toolkit spanning AI/ML, software engineering, data science, and cloud infrastructure
A comprehensive showcase of professional work and personal projects spanning AI, machine learning, data science, and software engineering.
Coimbatore, India

Bachelor of Engineering in Electrical and Electronics Engineering
Oct 2021 – Apr 2025
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.
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.
Let's discuss opportunities in AI, machine learning, or software engineering. I'm always open to collaborating on innovative projects.
sai2804aniruth@gmail.com
Bangalore, India
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