Rishab P.Private profile: Upwork shows its earnings only to signed-in members, so we check it every few weeks, not daily. MRR here is a rough estimate (Upwork's six-month earnings ÷ months active). Last read Nov 5, 2026.

⚡️ 5-star feedback on every job ⚡️ High Hourly Output ⚡️ Very Reliable Hey there 👋
 I’m Rishab and I want to help you solve all your Machine Learning and Data Science related problems.

[You can also hire me on Toptal as well] I design and ship production-grade AI that turns complex problems into autonomous, revenue-driving solutions. Combining research-grade modeling with engineering discipline, I build multi-agent orchestration, RAG-enabled LLMs, graph-powered retrieval, and generative vision pipelines — optimized for low latency, high accuracy, and scalable edge/cloud deployment. My systems automate decisions, boost engagement, and deliver clear, measurable ROI. In NLP, I’ve evolved beyond model-building into engineering intelligent, self-orchestrating AI agents. Using LangGraph for complex workflow design and LangSmith for observability, I’ve built RAG-powered knowledge systems with vector databases and Neo4j graphs that enable contextual, accurate, and fast retrieval. My solutions span from fine-tuned, domain-specific LLMs to multi-layered autonomous agents that execute with precision — delivering measurable business gains through reduced latency, heightened accuracy, and operational scalability. In Computer Vision, I push past conventional boundaries into generative innovation — crafting brand-specific content engines with Stable Diffusion + LoRA, achieving photorealistic output with FLUX, and building real-time inference systems for Image Segmentation, Object Detection, OCR, Virtual Try-on, and 3D Pose Estimation. Every project is production-first: optimized for speed, scalable for growth, and engineered for edge deployments that meet business demands without compromise. In Data Science, my approach fuses prediction with autonomy. By integrating graph-powered intelligence through Neo4j, multi-modal embeddings, and agentic workflows, I’ve built recommendation engines, campaign optimizers, and demand forecasters that don’t just suggest actions — they execute them. This marriage of classical ML and modern AI agents has consistently driven higher engagement, leaner operations, and exponential ROI across industries. At my core, I believe AI should be more than a tool — it should be a partner in progress. My mission is to architect systems that don’t just keep up with the future, but help create it. 🧰 My Toolkit Platforms: - Google Cloud Platform - Amazon Web Services - SageMaker - Lambda - Kinesis - S3 - Athena - EMR - EC2 - ECS Technologies: - Deep Neural Networks - Convolutional Neural Networks (CNN) - Recurrent Neural Networks (LSTM, GRU, Transformers) - Hierarchical Attention Networks (HAN) - Doc2Vec - Word2Vec - Glove - Support Vector Machines - Gradient Boosting Machines - Random Forest - Generalized Regression Analysis - Transformers - GPT, BERT Tools: - Python, - Tensorflow - PyTorch - H2O.ai - Scikit-learn - Keras - Pandas - Numpy - Caret 🚀 Why Work From Me? Apart from my technical and strategic abilities, here’s 5 other reasons why clients refer me to their friends: 1. My experience helps me decode your business quickly No matter the industry, market or business model 2. I make sure to understand the issue & objectives Then I deliver the right solution, quickly 3. 100% commitment to every job If I say I can do it, consider it done 4. Honest “if it was my business” feedback I’ll tell you what you need to hear, not what you want to hear 5. Regular and effective communication You’ll know what I’ve done, what I’m doing and what’s up next