I bridge the gap between complex algorithms and user-facing applications. My workflow runs on two core engines:
- Core Logic Engine — Solving algorithmic problems with highly optimized C++ designed to pass all hidden test cases.
- Innovation Layer — Training ML models and deploying them into scalable architectures using Python, React, Node.js & AWS.
{
"developer": {
"name": "Ankit Mishra",
"role": "AI/ML Engineer · Full-Stack Developer · AWS Architect",
"stack": "Python · React · Node.js · AWS · Docker · C++",
"education": "3rd Year BTech CSE (AI) @ Parul University (CGPA 8.4)",
"status": "open_to_collaborate = true"
}
}AI / Machine Learning
Full-Stack & Cloud
Core Logic
📈 Cresta — AI Robo Advisor
Intelligent market advisor analyzing live stock data to deliver personalized picks via real-time ML inference.
⚙️ Logic: Real-time ingestion → ML inference → personalised picks
🛠 Stack:
Python ML Models React Node.js AWS
🔗 View Repository
🔍 Fairscan — Automated AI Analysis
Industrial scanning system automating data pipelines and extraction using heavy AI workloads at scale.
⚙️ Logic: Scan → extract → classify → deliver
🛠 Stack:
Python AI/ML REST APIs Docker
🔗 View Repository
Think. Build. Break. Improve. Repeat. 🚀
// role: AI/ML Engineer · Full-Stack Developer · AWS Architect// status: scaling Cresta AI advisor → production