Shakthivel Arumugam

AI & Data Science Engineer

Passionate backend developer and competitive programmer pursuing B.E. in AI & Data Science from University of Mumbai (CGPA: 9.02). Experienced in building scalable web applications, video processing pipelines, and mobile platforms with expertise in modern technologies and cloud infrastructure.

Mumbai, India

Education

Academic background in AI, Data Science, and Computer Engineering

UNIVERSITY OF MUMBAI

2021 - 2025

Bachelor of Engineering in Artificial Intelligence and Data Science

CGPA of 9.02 - Specializing in Artificial Intelligence, Machine Learning, Data Analytics, and Software Engineering.

Data Structures & Algorithms
Machine Learning
Deep Learning
Database Systems
Software Engineering

ST.ANNE'S JUNIOR COLLEGE

2021

Higher Secondary School Certificate

81.67% - Science stream with focus on Mathematics, Physics, and Chemistry.

Mathematics
Physics
Chemistry
Computer Science

Technical Skills

Comprehensive skillset across development, data science, and modern technologies

💻Programming Languages

C++
JavaScript
Dart
Python
Java

🛠️Frameworks & Libraries

Express.js
Flutter
React
Bootstrap

🗄️Databases

MongoDB
PostgreSQL
Redis

⚙️Tools & Platforms

Docker
Git
AWS (S3, EC2, SQS, ECS)

🖥️Operating Systems

Linux
Windows

Professional Experience

Hands-on experience in backend development and software engineering

Semi Hyphen

June 2024 - August 2024

Back-End Intern

Remote

Streamlined recruitment operations and optimized backend systems using modern technologies.

•Streamlined recruitment operations by automating email processes and creating a dashboard for administrators, utilizing Express.js and MongoDB
•Optimized NoSQL database queries, resulting in a 20% reduction in data retrieval time
•Implemented token-based authentication (JWT) to secure all API endpoints
Express.js
MongoDB
JWT
Node.js

Featured Projects

Innovative solutions showcasing full-stack development and problem-solving skills

HLS Video Processing Pipeline

Designed and implemented a scalable HLS video pipeline using AWS services with event-driven architecture for efficient video processing.

•Designed and implemented a scalable HLS video pipeline using AWS S3, SQS, EC2, and ECS
•Automated video encoding with a Java consumer application that triggers containerized FFmpeg processing
•Leveraged an event-driven architecture to decouple video uploads from processing, enhancing system fault tolerance and performance
Java
Python
Docker
AWS S3
AWS SQS
AWS EC2
AWS ECS
FFmpeg
Code

Shakti-News

Engineered a Flutter mobile platform to facilitate offline newspaper subscriptions with optimized performance and scalable architecture.

•Engineered a Flutter mobile platform to facilitate offline newspaper subscriptions for users
•Applied Bloc state management to ensure a responsive, consistent, and scalable UI for user interactions
•Enhanced application performance by 6% by integrating Redis caching and optimizing MongoDB aggregation pipelines
Flutter
Express.js
MongoDB
Redis
Bloc State Management
Code

Examace

Developed a mobile learning app powered by Retrieval-Augmented Generation (RAG) to provide context-accurate academic answers for engineering students.

•Developed a mobile learning app powered by Retrieval-Augmented Generation (RAG) to provide context-accurate academic answers
•Architected a scalable semantic search pipeline leveraging FAISS vector databases for indexing and retrieval of university curriculum content
•Improved real-time Q&A accuracy and speed by combining context-aware LLM responses with optimized, quantized vector search techniques
Flutter
Flask
FAISS
LangChain
Supabase
RAG
Code

Achievements & Recognition

Notable accomplishments in competitive programming, hackathons, and app development

3rd Place

MLSC COHERENCE 1.0 Hackathon

Hackathon

Secured 3rd position showcasing proficiency in the AI/ML domain

•Secured 3rd position in the MLSC COHERENCE 1.0 Hackathon
•Showcased proficiency in the AI/ML domain
•Developed innovative solutions using machine learning techniques
•Competed against teams from multiple colleges and universities
3 Star

CodeChef Rating: 1608

Competitive Programming

3-star competitive programmer placing in the top 20,000 competitive programmers

•Achieved a 3-star rating and a peak rating of 1608 on CodeChef
•Placed in the top 20,000 competitive programmers globally
•Consistent performance in algorithmic contests
•Strong problem-solving skills in data structures and algorithms
500+ Downloads

AquaTrace Mobile App

Mobile Development

Environmental awareness app with 500+ downloads on the Android platform

•Drove the successful launch of the AquaTrace mobile app
•Garnered over 500 downloads on the Android platform
•Developed using Flutter with PostgreSQL backend
•Focused on tracking and analyzing individual water footprint usage
Play StoreGitHub

Volunteer Experience

Contributing to the technical community through mentoring and problem-setting

SIESGST ARENA

July 2022 - June 2023

PROBLEM SETTER

Authored and tested competitive programming problems for SIESGST ARENA, ensuring challenge, clarity, and accuracy for participants.

•Authored and tested competitive programming problems for SIESGST ARENA, ensuring challenge, clarity, and accuracy for participants
•Curated a diverse set of problems for BUG4EVER and TuringCup, national-level contests organized by the chapter
•Acted as a Problem Tester for SIESGST ARENA, validating problem statements and test cases

Impact: Contributed to national-level competitive programming contests

Algorithm Design
Problem Setting
Contest Management
Testing
Certificate