Swagat Mitra

AI/ML Engineer & Full-Stack Developer

BTech in Computer Science with specialization in AI & ML. Passionate about building scalable solutions and exploring the intersection of artificial intelligence and software engineering.

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Licenses & Certifications

Top 9%

Amazon ML Challenge 2024

Problems Solved

0.00

CGPA

About Me

Currently pursuing BTech in Computer Science & Engineering with specialization in AI & ML at Vellore Institute of Technology with a CGPA of 8.87/10.

Education

Vellore Institute of Technology

BTech in Computer Science & Engineering w/s in AI & ML

Sept 2022 – Present | CGPA: 8.87/10

Relevant Coursework:

Data Structures & Algorithms

Artificial Intelligence

Machine Learning

Deep Learning

AWS Solutions Architect

Computer Networks

Cryptography & Network Security

Database Management

Compiler Design

Operating System

Coding Profiles

LeetCode Problems

Codeforces Rating

Total Problems Solved

Platforms:

Codeforces

LeetCode

CodeChef

HackerRank

Experience

Professional experience in AI/ML development and automation solutions

Accenture India

Advanced Application Engineer Analyst Intern

May 2025 – July 2025

Bengaluru, Karnataka

Proposed and designed solutions to enhance existing RPA and AI tools, focusing on efficiency and scalability

RPA Enhancement

AI Tool Development

Microsoft Power Automate

Workflow Automation

Samsung R&D Institute

Samsung PRISM Developer Intern

Aug 2024 – June 2025

Bengaluru, Karnataka (Remote)

Developed IDE plugin for energy smell detection in Kotlin code, improving code efficiency analysis by 35%

35% Efficiency Improvement

Static Code Analysis

Mobile App Optimization

IDE Plugin Development

Featured Projects

Innovative solutions combining AI, machine learning, and full-stack development

easyEdits

AI Powered Video Editing Platform

Developed platform enabling prompt-based video editing via natural language and AI function calling with distributed microservices architecture

Natural Language Processing

Distributed Architecture

Real-time Transcription

Scene Detection

VCHECK

Real-time Uniform Compliance System

Designed system using dual YOLOv8 models for 99% ID detection and 98% clothing compliance accuracy with GPU acceleration

98% Compliance Accuracy

GPU-Accelerated Pipeline

OCR Integration

SONORIQ

Scalable Music Platform

Developed full-stack music platform with real-time chat, collaborative playlists, and personalized recommendations

Collaborative Playlists

Low-latency Streaming