Rahul J.
AI/ML Trainer and Specialist with Cloud Expertise | 7+ Years
I’ve delivered 30+ projects on Upwork with a 100% Job Success Score and Top Rated badge, and I actively teach AI/ML through my YouTube channel (datageekrj) and Udemy courses. Hi, I’m Rahul Jha — a Data Scientist, Machine Learning Engineer, and AI Instructor with 6+ years of experience delivering both real-world AI systems and hands-on training for global clients across finance, retail, and insurance. My strength lies in combining development experience with teaching — I don’t just explain AI concepts, I build and deploy them, and then teach them in a way professionals can actually apply. What I Bring as an Instructor 1. Strong Industry + Teaching Blend – Experience building production-grade AI systems along with structured teaching via YouTube and Udemy (Databricks, MLflow, NLP with NLTK, GenAI, LLMs). 2. Hands-On Teaching Style – I focus on live coding, practical exercises, and real use cases rather than slide-heavy sessions. 3. Enterprise AI Understanding – Experience designing end-to-end ML pipelines, MLOps workflows, and cloud-based systems (AWS, GCP, Azure). 4. GenAI & LLM Expertise – Practical work with prompt engineering, RAG systems, HuggingFace, OpenAI APIs, and modern NLP pipelines. Development Experience I Bring * AI-Powered Applications – Built systems like AI interview platforms, intelligent skill assessment tools, and real-time image processing/annotation apps * Advanced ML Solutions – Predictive analytics, recommendation systems, risk modeling, and AutoML pipelines * Custom AI Integrations – Fine-tuned LLMs, NLP pipelines, computer vision models, and generative AI workflows * Cloud-Native Deployments – Scalable architectures using AWS, GCP (Vertex AI), and Azure with proper monitoring and lifecycle management (MLflow, Databricks) Core Teaching Areas * AI Enterprise: Applying AI in business workflows, integration challenges, ROI, and change management * Intro to GenAI: Prompt engineering, building GenAI applications, and real-world use cases * LLM Basics: NLP foundations (NLTK), embeddings, transformers, HuggingFace, and fine-tuning concepts I hold a Master’s in Statistics along with multi-cloud certifications (AWS, GCP, Azure), which helps me connect theory with practical implementation. If you’re looking for someone who can both build and teach AI systems in a clear, engaging, and practical way, I’d be glad to contribute. Happy to connect for a quick call or chat to discuss further.
Earnings and projects
Last 6 months ÷ 6
Billed in all: $28,299$28k
Across 25 contracts