Backend Engineer with a focus on ML-powered systems. I build end-to-end applications that combine data pipelines, model inference, and scalable APIs.
I care about real-world behavior β latency, async processing, failure handling, and working with imperfect data β not just model accuracy.
- Backend systems for ML applications (FastAPI, async workers, APIs)
- End-to-end ML pipelines (training β evaluation β deployment)
- Computer Vision & NLP in production settings
- Job queues, background processing, and system design
- Dockerized services and cloud deployment (AWS)
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Document Processing Pipeline
Async backend system with OCR + NER, Redis queue, FastAPI, Docker -
Sudoku Solver System
OpenCV + CNN pipeline with Flask API + Android client -
Phishing Detection ML Pipeline
End-to-end ML system with MLflow tracking and deployment -
Advent of Code 2025
Consistent problem solving (graphs, DP, backtracking)
- Backend Engineer (Python)
- ML Systems / Applied ML Roles
- LinkedIn: https://linkedin.com/in/pradyumn-bisht-041164234
- Email: pradyumnbisht31@gmail.com
- LeetCode: https://leetcode.com/u/pradybisht/