I’m Yash Jain, a Senior AI and Backend Engineer who is passionate about solving complex problems and making them simple to understand. I focus on building intelligent systems, creating educational content, and mentoring engineers who want to grow in the AI and backend space.

Technical Expertise

I work extensively with Python, JavaScript, and Node.js. My experience spans Flask, Flask-RESTful, Django, and Express.js, along with tools like Celery, Selenium, and Beautiful Soup. In the data and machine learning ecosystem, I regularly use Scikit-learn, Pandas, Numpy, and Matplotlib.

My AI and LLM background includes working with OpenAI (GPT-4, Turbo) and Claude (Sonnet, Haiku, Opus). I actively build with LangChain, LangGraph, LangSmith, and HuggingFace, and I have hands-on experience designing ReACT agents, RAG systems, and custom LLM-based OCR workflows.

On the storage and database side, I work with MongoDB, SQL, and Pinecone, and I use Azure Blob Storage for scalable file handling. My DevOps experience includes Docker, docker-compose, and GitHub Actions, along with deployments on Azure Data Factory, AWS EC2, and Heroku.

My architectural strengths include microservices, multithreading, background task processing, and REST API design. I enjoy designing systems that are clean, scalable, and easy to maintain.

Experience

I’ve contributed to impactful projects at Quantzig, Evabot, Dell, and Smart Controls. My work spans LLM-powered applications, real-time crawlers, recommendation engines, invoice validation pipelines, and end-to-end backend systems.

What Drives Me

I love logical reasoning, architecting scalable solutions, and using code to simplify complexity. Teaching and explaining AI concepts is something I naturally gravitate toward. I constantly explore new ideas, experiment with emerging technologies, and refine my understanding of AI systems.

I live by a simple rule: Before you go to sleep, make sure you’ve learned something new.

Whether I’m designing a recommendation engine, building a microservice architecture, or simplifying LangChain workflows for others, I’m fully committed to my craft.