About me

Hi, I’m Naresh Thakur. If you’re looking for someone who doesn’t just talk about AI but actually builds it-end to end-you’ve found the right person. (Applied AI) For over 16 years, I’ve been deep in the trenches of technology: architecting scalable systems, leading engineering teams, and now, living and breathing the latest in AI-Generative AI, Agentic AI, NLP, and MLOps. I don’t just follow trends; I turn them into real, production-ready solutions that deliver measurable impact. What sets me apart? I’m hands-on at every stage of the AI lifecycle. From training and fine-tuning large language models to deploying robust pipelines with CI/CD, Docker, and Kubernetes, I make sure your AI doesn’t just work in a demo-it thrives in the real world. I’ve helped startups, founders, and engineers like you go from idea to impact, whether it’s building AI-driven products, optimizing MLOps workflows, or mentoring teams to deliver at scale. I help engineers and founders go from AI confusion to real-world implementation. Whether you’re trying to break into AI, deploy models reliably, or understand how agentic systems and vibe coding actually work—I’ve been there. If you want to: → Learn how to build applied AI systems with agents, tools & MCP → Get hands-on with MLOps, LLMOps, and real-world deployment → Understand vibe coding and AI-assisted development (and build live!) → Or simply get clarity on your AI journey or project idea... Let’s connect and get building—practically, smartly, and together. My toolkit: 👨‍💻 Languages: Python, JavaScript (Node.js, React), TypeScript 🧪 JavaScript Libraries & Frameworks: Express.js, Chai.js, Mocha.js, Axios, Lodash, Socket.io, Passport.js, Joi, Mongoose 🧠 AI/ML & Deep Learning: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers, spaCy, NLTK 📊 Data Science & Analysis: NumPy, Pandas, Matplotlib, Seaborn, Jupyter Notebook 🗣️ NLP & Generative AI: LLMs, Prompt Engineering, OpenAI APIs, Amazon Bedrock, LangChain 🔁 Model Lifecycle: Training, Evaluation, Versioning, Monitoring ⚙️ MLOps & Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes, Terraform ☁️ Cloud & Infra: AWS (EC2, S3, Lambda, SageMaker), CloudWatch, Azure, GCP 🔄 CI/CD & Automation: GitHub Actions, Jenkins 🗄️ Data & Vector Stores: Pinecone, FAISS, MongoDB, Elasticsearch, PostgreSQL 📡 Messaging & Streaming: Kafka, Redis I’m here to help you turn your AI ambitions into reality-no jargon, no fluff, just results. Ready to build something remarkable? Book a session and let’s get started.