Need AI that actually works in production? I build ML systems that scale from model training to deployment pipelines. PyTorch, TensorFlow, LLM integration with LangChain. Your AI problem, solved and deployed.
Need AI that actually works in production? I build ML systems that scale from model training to deployment pipelines. PyTorch, TensorFlow, LLM integration with LangChain. Your AI problem, solved and deployed.
Production ML systems
Training pipelines to serving infrastructure. Complete.
LLM integration
RAG, fine-tuning, agent systems. Production-ready.
ML models, LLM apps, MLOps pipelines. Training to production deployment.
Clear outcomes, the right guardrails, and async updates while we work.
Availability: 1–2 concurrent builds max.
Timeframe: Typical engagement 6–10 weeks.
Collaboration: Weekly demos, shared roadmap, <24h async response.
How we break down the work so you stay unblocked at every phase.
Built a Retrieval-Augmented Generation system processing 10M+ documents with semantic search, vector embeddings, and real-time query optimization. Deployed LangChain agents with function calling and memory.
Developed a computer vision system using YOLO and Transformer models for real-time object detection and tracking. Deployed on edge devices with TensorRT optimization achieving 60 FPS.
Built scalable MLOps infrastructure with automated training pipelines, model versioning, A/B testing, and monitoring. Includes feature stores, experiment tracking, and automated retraining.
Fine-tuned GPT and Llama models on domain-specific data with LoRA and QLoRA techniques. Implemented prompt engineering, chain-of-thought reasoning, and evaluation frameworks.
Developed predictive models using LSTM, Transformer, and ensemble methods for financial forecasting. Achieved 92% accuracy with real-time inference and continuous learning pipelines.
Founders and operators keeping us honest.
This is what 10 years of experience looks like.
Shubham built a Solana lending protocol from the ground up—smart contracts, SDK, ops tooling, everything. His code quality and documentation were exceptional. We passed audit on the first try. That never happens.
Production-ready AI that actually works.
I worked with Shubham on an MLOps platform. He delivered a production system with automated pipelines, model versioning, and comprehensive monitoring—exactly what we needed. His technical depth and delivery speed blew me away.
Scales effortlessly. 200K users, zero issues.
Shubham built an e-commerce platform with React and Node.js. We now serve 200K users seamlessly. His attention to scalability, clean architecture, and ongoing support made this project a total success.
Web3, AI, Systems, Web. End-to-end. One person. From idea to deployed.
Yes. Architecture, stack selection, code reviews. Hourly or contract. Get unstuck fast.
Fast. I focus on going live. Less bureaucracy, more shipping. Let's discuss timeline.
Yes. Frontend, backend, infrastructure, deployment. Complete systems. End-to-end.