Aman Pandey

Software Engineer

0+ yrs exp 86 · Excellent

About

Results-driven Computer Science Engineering graduate with hands-on experience in software development lifecycle (SDLC) — requirements gathering, design, development, testing, and deployment. Skilled in Python, object-oriented programming (OOP), data structures and algorithms (DSA), RESTful API design, and version control with Git. Experienced in building and deploying scalable, production-ready applications, including full-stack web systems and real-time computer vision pipelines. Strong debugging and problem-solving skills with a track record of delivering efficient and maintainable software.

Skills & Expertise (23)

Python Intermediate

5.8/10

0.5

Years Exp

OpenCV Intermediate

5.8/10

0.5

Years Exp

LINUX Intermediate

5.3/10

0.5

Years Exp

VS Code Intermediate

5.3/10

0.5

Years Exp

GitHub Intermediate

5.3/10

0.5

Years Exp

Git Intermediate

5.3/10

0.5

Years Exp

REST APIs Intermediate

5.3/10

0.5

Years Exp

TensorFlow Intermediate

5.3/10

0.5

Years Exp

Machine Learning Intermediate

5.3/10

0.5

Years Exp

Data Structures & Algorithms Intermediate

5.3/10

0.5

Years Exp

Object-Oriented Programming Intermediate

5.3/10

0.5

Years Exp

Artificial Intelligence Intermediate

5.3/10

0.5

Years Exp

JavaScript Intermediate

4.8/10

0.5

Years Exp

Docker Intermediate

4.8/10

0.5

Years Exp

Node.js Intermediate

4.8/10

0.5

Years Exp

React.js Intermediate

4.8/10

0.5

Years Exp

OCR Intermediate

4.5/10

0.5

Years Exp

MySql Intermediate

4.5/10

0.5

Years Exp

CSS Intermediate

4.5/10

0.5

Years Exp

HTML Intermediate

4.5/10

0.5

Years Exp

SQL Intermediate

4.5/10

0.5

Years Exp

FastAPI Beginner

3.8/10

0.5

Years Exp

RoboFlow Beginner

3.8/10

0.5

Years Exp

Work Experience

Computer Vision Intern

Ragh Vision Private Limited

Apr 2025 - Sep 2025

Engineered a custom object detection model using the YOLOv4-tiny framework, owning the full SDLC from requirements gathering through deployment and maintenance. Developed and deployed a real-time inference system in Python using RESTful APIs to process live data streams for edge AI boxes. Monitored and supported ANPR, ATCC, and VIDS systems for real-time traffic surveillance and incident detection, collaborating with cross-functional teams to troubleshoot production issues.