Mayank Mishra

Delhi, India 0+ yrs exp 76 · Very Good

About

Computer Science Engineering graduate with hands-on backend and AI systems experience, including Google Cloud Vertex AI Search integration, production monitoring with Datadog and Grafana, and a full-stack MERN coding platform. Skilled in JavaScript, Python, Node.js, and REST APIs, with a track record of shipping and operating live systems.

Skills & Expertise (27)

Grafana Intermediate

6.5/10

0.5

Years Exp

Datadog Intermediate

6.5/10

0.5

Years Exp

Express.js Beginner

4.5/10

0.5

Years Exp

OOP Beginner

4.5/10

0.5

Years Exp

DBMS Beginner

4.5/10

0.5

Years Exp

Data Structures and Algorithms Beginner

4.5/10

0.5

Years Exp

PM2 Beginner

4.5/10

0.5

Years Exp

Nginx Beginner

4.5/10

0.5

Years Exp

GitHub Beginner

4.5/10

0.5

Years Exp

Git Beginner

4.5/10

0.5

Years Exp

GCP Beginner

4.5/10

0.5

Years Exp

AWS Beginner

4.5/10

0.5

Years Exp

Redis Beginner

4.5/10

0.5

Years Exp

BCrypt Beginner

4.5/10

0.5

Years Exp

JWT Authentication Beginner

4.5/10

0.5

Years Exp

REST APIs Beginner

4.5/10

0.5

Years Exp

CSS3 Beginner

4.5/10

0.5

Years Exp

HTML5 Beginner

4.5/10

0.5

Years Exp

Python Beginner

4.5/10

0.5

Years Exp

JavaScript Beginner

4.5/10

0.5

Years Exp

Node.js Beginner

4.5/10

0.5

Years Exp

React.js Beginner

4.5/10

0.5

Years Exp

MongoDb Beginner

4.5/10

0.5

Years Exp

Ollama Beginner

3.5/10

0.5

Years Exp

FFmpeg Beginner

3.5/10

0.5

Years Exp

Pandas Beginner

3.5/10

0.5

Years Exp

Joblib Beginner

3.5/10

0.5

Years Exp

Work Experience

Software Engineering Intern

BytePe

Jan 2026 - Jun 2026

Engineered end-to-end Google Cloud Vertex AI Search integration with Express.js backend, delivering intelligent and high-relevance product search functionality across the e-commerce platform on GCP. Integrated Vertex AI Search for Commerce to enable real-time personalized product recommendations, improving product discoverability and user experience. Configured Datadog APM with custom threshold-based alerts on distributed traces, error rates, and latency percentiles (p95/p99), enabling proactive detection of critical API failures and reducing MTTD. Integrated Datadog with Slack via webhook-based alerting pipelines for real-time incident notifications, accelerating team MTTR for production API failures. Built Grafana dashboards connected to GCP Cloud Monitoring to visualize backend service health metrics — request rates, error rates, and response latency — providing unified real-time observability across the platform.