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Om Prakash Mishra

Backend Engineer • MLOps • Data Science

Building Digital Experiences

Architecting full-stack solutions and deploying production-ready AI applications on cloud-native infrastructure.

Discovering Patterns

Applying machine learning models for anomaly detection, advanced classification, and high-performance NLP pipelines.

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Developer.ts
class Developer { name: string = "Om Prakash Mishra"; education: string[] = [ "MSc Information Technology @ BBAU (2025–2027)", "BSc Computer Science @ Gangadhar Meher University (2021–2024)" ]; focusAreas: string[] = [ "Backend Engineering (FastAPI, Node.js, PostgreSQL)", "MLOps & AI (GCP, Vertex AI, PyTorch)", "Data Science (Pandas, Risk Modelling)" ]; currentFocus() { return { role: "Backend Engineer | MLOps | Data Science", stack: "Python, Go, React, GCP" } }

My Work

Featured Projects

A selection of projects that showcase my passion for development and data.

MealEase

A full-stack web application with recipe search, meal planning calendar, and nutritional analytics. Integrated REST APIs and client-side data-fetching patterns.

Tech Stack

CortexOps

Vendor-neutral Operational Decision Support Platform. Transforms operational evidence into structured, AI-generated Situation Reports that reduce Time to Understanding (TTU) during production incidents.

Tech Stack

RAG Application - MongoDB Atlas

Architected an end-to-end Retrieval-Augmented Generation pipeline using MongoDB Atlas Vector Search, achieving ~60% improvement in semantic query relevance.

Tech Stack

CareerCompass

A tool to navigate and guide career paths.

Tech Stack

Education

MSc Information Technology

Babasaheb Bhimrao Ambedkar University (BBAU)

2025 – 2027

BSc Computer Science

Gangadhar Meher University (GMU)

2021 – 2024

Certifications

Claude with GCP Vertex AI

Anthropic × Google

Completed

React Bootcamp

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Completed

GCP Fundamentals

Google Cloud

In Progress

Currently Exploring

01.

Designing robust MLOps pipelines on Vertex AI

02.

Orchestrating microservices with FastAPI

03.

LLM fine-tuning for domain-specific NLP (Finance)

04.

Implementing real-time streaming anomaly detection

💻

Tech Stack

[ Backend & Data ]

Backend Stack

[ Frontend ]

Frontend Stack

[ Cloud & DevOps ]

Cloud Stack

[ Tools & Others ]

Tool Stack

Get In Touch

Have a question, a project idea, or just want to say hello? I'd love to hear from you.

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