⚡ Full Stack Developer · 🤖 AI/ML Engineer · ☁️ Cloud Builder
I'm Ankit — I build production-grade software that ships and scales. From cloud storage platforms to drop-in analytics SDKs, I focus on creating things people actually use. Currently going deep on ML/AI integration with modern web stacks.
🌍 Based in Delhi, India · 🚀 Open to global remote roles
📫 Email: ankitsingh40068@gmail.com
🔗 LinkedIn · 🌐 ezankit.in
🚀 What I Build
- ☁️ Cloud Platforms: Architected and deployed CloudVault — a full-stack cloud storage platform live at uploads.ezankit.in, handling real user uploads with Next.js.
- 📊 Developer Tools: Building a lightweight JS analytics SDK — drop it into any site and get Google Analytics-level insights, self-hosted and privacy-first.
- 🤖 AI/ML Engineering: Integrating ML models into production web apps — from NLP pipelines to intelligent data processing with Python and FastAPI.
- 🖥️ Full Stack Systems: End-to-end product development with Next.js, Angular, FastAPI, Express.js, PostgreSQL, and MongoDB.
- 🐳 DevOps & Cloud: Containerizing apps with Docker, deploying on cloud infrastructure, and building CI/CD pipelines for reliable delivery.
🔨 Currently Building
- 📊 Website Analytics SDK — A self-hosted, privacy-first alternative to Google Analytics. Drop a single JS tag into any site and get real-time visitor insights, heatmaps, and event tracking. Stack: Python · FastAPI · JavaScript · ClickHouse
- 🤖 ML/AI Integration Research — Exploring RAG pipelines and LLM fine-tuning for embedding AI into full-stack production applications.
🎯 What Drives Me
- 🔁 I don't just learn technologies — I build with them until something ships.
- 📦 I care about the full lifecycle: idea → architecture → deployment → real users.
- 📈 I measure my work in outcomes: live products, stars, forks, and user feedback.
- 🌱 Currently bridging the gap between full-stack engineering and applied AI/ML.
Languages | Frontend | Backend | Databases | DevOps
This is where I'm investing my time right now — the stack I'm building toward.
🤖 PyTorch & TensorFlow — building toward production ML models | ☸️ Kubernetes — scaling what I deploy | 📊 NumPy/Pandas — data pipelines for AI projects






