ARIN

Loading Portfolio...

Applied AI • Software Engineer

Hi, I'm Arin Ganguly
I build real-time AI systems & scalable backends.

Strong hands-on experience in video analytics, face recognition, deep learning pipelines, and deploying GPU-accelerated inference for production environments.

Arin Ganguly

Quick Info

  • Role: Applied AI & Software Engineer
  • Location: India
  • Email: aring164.bally@gmail.com
  • Focus: Computer Vision, ML, Backend
Let's connect →

About

I’m a Computer Science Engineering student (2022 - 2026) and an Applied AI Engineer with real-world internship experience in building low-latency video analytics systems. I enjoy working on computer vision, face recognition, GPU-accelerated inference, and scalable API backends.

What I do

I build AI pipelines for real-time detection/recognition, deploy ML models using FastAPI/Flask, and optimize performance for production.

What I'm learning

Advanced system design for AI products, scalable backend architecture, tracking (multi-camera), and faster inference deployments.

Career goal

To work as a Machine Learning Engineer / Computer Vision Engineer/ Software developer and contribute to real impactful AI products.

Skills

A snapshot of my technical toolkit — I love building projects and learning through implementation.

Programming

C Python Java SQL

ML / DL

PyTorch TensorFlow OpenCV YOLO Scikit-learn FAISS

Web Technologies

FastAPI Flask Spring Boot HTML • CSS • JS ReactJS REST APIs

Database

MySQL PostgreSQL MongoDB

Tools / Platforms

Git GitHub AWS Google Colab

Fundamentals

DSA OOP Computer Networks Linux

Projects

Some of the projects I built while learning and exploring AI/ML systems.

Automatic Number Plate Recognizer

Python • OpenCV • YOLOv10

A computer vision system that detects vehicle number plates from image/video. Supports real-time and batch processing for multiple input sources.

Live Face Recognition (DeepFace)

DeepFace • MTCNN • ArcFace • OpenCV

Real-time face recognition pipeline using ArcFace embeddings, custom embedding database, and cosine similarity matching for known/unknown classification.

PowerPulse: India Energy Trends (2019–2020)

Python • Matplotlib

Data analysis + visualization project to explore state-wise electricity consumption, seasonal demand patterns, and COVID-19 impact using graphs and insights.

PowerPulse: India Energy Trends (2019–2020)

Python • Matplotlib

Analyzed USA EV sales dataset (50+ states, multi-year data) using cleaning + preprocessing.

Person Detection and Tracking Using YOLO and Deep SORT

Python • YOLO • Deep SORT

Real-time person detection and multi-object tracking using the YOLOv10 object detection model integrated with the Deep SORT tracking algorithm

Experience

Project Intern — Fortuna Impex Pvt Ltd

July 2025 – Oct 2025

  • Built real-time face recognition and video analytics pipelines using InsightFace + CUDA (≈40% faster inference).
  • Designed multi-stream processing pipelines using GStreamer for low-latency IP camera monitoring (~15–20 FPS).
  • Developed FastAPI backend services for AI inference + PostgreSQL logging.

Education

MCKV Institute of Engineering

B.Tech in CSE • Aug 2022 – July 2026

CGPA: 8.67

Uttarpara Model School

Higher Secondary • 2022

Score: 79.4%

Uttarpara Model School

Secondary • 2020

Score: 77.4%

Contact

Want to collaborate or hire me for an internship/full-time role? Let’s connect.

Contact Details

Email: aring164.bally@gmail.com

LinkedIn: arin-ganguly

GitHub: arin-ganguly