Nainesh Rathod ML Engineer & AI Specialist
I specialize in building production-ready AI solutions with LLMs, RAG systems, and computer vision. Currently developing Azure-based ML pipelines that deliver measurable business impact.
About Me
Passionate ML Engineer building the future with AI
Transforming Ideas into Production-Ready AI Solutions
As an ML Engineer with expertise in Large Language Models and production AI systems, I specialize in bridging the gap between cutting-edge research and real-world applications. My journey spans from healthcare startups to enterprise-level solutions, always focusing on delivering measurable business impact.
Currently, I'm developing sophisticated RAG pipelines on Azure and fine-tuning LLMs for specialized domains. My approach combines deep technical knowledge with practical implementation skills to create AI solutions that actually work in production.
Specialization
LLMs, RAG Systems, Computer Vision, and End-to-End ML Pipelines
Impact
Delivered 92% retrieval accuracy and 60% reduction in processing time
Approach
Production-first mindset with focus on scalability and performance
Technical Expertise
Machine Learning & AI
Cloud & Infrastructure
Development
Featured Projects
Production-ready AI solutions that deliver real business impact
Contextual Document Chatbot
Intelligent chatbot that understands and answers questions from uploaded documents with 92% retrieval accuracy using advanced RAG techniques and fine-tuned embeddings.
Real-time Traffic Sign Classification
Deep learning model for real-time traffic sign recognition using CNN architecture. Trained on German Traffic Sign Recognition Benchmark (GTSRB) dataset with data augmentation and deployed with OpenCV for live camera feed processing.
Smart Hospital Inventory Management
Complete MERN stack application for hospital inventory management with real-time tracking, automated alerts, and comprehensive reporting dashboard.
Large-Scale Diabetes Prediction Model
Advanced predictive model for proactive patient risk identification using 253,000+ survey responses. Implemented ensemble methods with sophisticated class balancing techniques and comprehensive feature engineering to achieve exceptional performance in healthcare risk assessment.
Professional Experience
Building production-ready AI solutions across diverse industries
Machine Learning Engineer
Current RoleLeading development of production-ready AI solutions with focus on LLMs and RAG systems. Building scalable ML pipelines on Azure that process thousands of documents daily.
- Developed Azure RAG pipeline achieving 92% retrieval accuracy for legal documents
- Integrated Llama 3.1 models reducing processing time by 60%
- Built automated data processing workflows handling 10K+ documents
- Implemented production monitoring and alerting systems
ML Engineer Intern
HyphenovaDeveloped computer vision models for content moderation and user engagement optimization. Worked on real-time image processing systems handling social media content.
- Built content moderation system achieving 93% accuracy
- Optimized model inference reducing response time to 50ms
- Deployed models handling 10K+ daily image classifications
- Collaborated with cross-functional teams on product features
Data Science Intern
SanskritechWorked on healthcare data analytics and predictive modeling. Developed ML models for patient outcome prediction and automated reporting systems.
- Created predictive models improving patient outcome accuracy by 85%
- Automated ticket triage system reducing processing time by 60%
- Built data visualization dashboards for healthcare metrics
- Implemented data preprocessing pipelines for clinical data
Master's in Data Science
Indiana UniversitySpecialized in Machine Learning, Deep Learning, and Statistical Analysis. Focused on practical applications of AI in real-world scenarios.
- Relevant Coursework: Deep Learning, NLP, Computer Vision, MLOps
- Research Project: LLM fine-tuning for domain-specific applications
- Teaching Assistant for Machine Learning fundamentals course
- Published research on efficient neural network architectures
Core Competencies
LLM Development
Fine-tuning, RAG systems, prompt engineering
Computer Vision
Image classification, object detection, real-time processing
Cloud ML
Azure ML, AWS, scalable deployment
MLOps
CI/CD, monitoring, production optimization
Let's Work Together
Ready to bring your AI ideas to life? Let's discuss your next project
Get In Touch
I'm always interested in discussing new opportunities, innovative projects, and collaborations in the AI/ML space. Whether you're looking to build production-ready AI solutions or need consultation on ML strategy, I'd love to hear from you.
GitHub
github.com/nainesh-20Location
Available for Remote WorkCurrently accepting freelance projects and full-time opportunities