Open to 2026 New Grad & Early Career Roles

Aruthra Sathish Kumar

Software Engineer · AI/ML Engineer

I build scalable backend systems and AI-powered applications that turn complex ideas into reliable products.

system_architecture.py
# AI Pipeline Architecture
class MLPipeline:
def __init__(self):
self.model = "transformer"
self.embeddings = "FAISS"
self.cache = "Redis"
async def process(self, data):
return await self.pipeline.run(data)
RAG System
99.2% Accuracy
FastAPI

Technical Strengths

Areas where I'm most effective as an engineer.

Core Focus

  • Backend engineering (APIs, microservices)
  • Distributed systems & concurrency
  • AI/ML engineering
  • System design & architecture

AI & Machine Learning

  • PyTorch, TensorFlow, Scikit-learn
  • Pandas, NumPy, Matplotlib
  • RAG, FAISS, embeddings, LLM integration
  • Generative AI (LLMs, diffusion models), Agentic AI workflows
  • Whisper ASR, multilingual speech systems
  • ETL workflows, data analysis & web scraping

Backend & Web

  • Node.js, FastAPI, Django
  • REST, GraphQL, WebSockets
  • React, Next.js, Tailwind CSS
  • Event-driven architecture

Cloud, DevOps & Data

  • AWS & Azure cloud services
  • Docker, Kubernetes, GitHub Actions
  • PostgreSQL, MySQL, MongoDB, Redis
  • Caching & messaging (Redis, basic Kafka)
  • CI/CD, monitoring

Featured Work

Production systems with measurable impact.

USDA Rural Development Chatbot

RAG System | React · FastAPI · PostgreSQL · FAISS · Mistral

A production-grade Retrieval-Augmented Generation (RAG) platform built to answer complex queries over 100+ public USDA documents.

ReactTailwindFastAPIPythonFAISS + BM25RAGPostgreSQL

Impact

  • +40% relevance improvement
  • Real-time inference via local Mistral (Ollama)
  • Persistent chat memory using PostgreSQL JSONB
View Code

Academic Performance Predictor (CNN-GRU)

Deep Learning | PyTorch · NumPy · Pandas

A hybrid CNN-GRU deep learning model predicting student performance using temporal coding patterns.

PyTorchNumPyPandasScikit-learnPython

Impact

  • 89% accuracy
  • Processes 1K+ logs in real time
  • 67% faster student interventions
View Code

Anonymous Voice Q&A Platform

Real-Time | React · Node.js · Socket.io · MongoDB

A multilingual, real-time voice Q&A system powered by Whisper ASR, WebSockets, and translation APIs.

ReactNode.jsOpenAI WhisperSocket.ioGoogle Translator APIWeb SocketsMongoDB

Impact

  • Supports 50+ live voice queries
  • <100ms update latency
  • Supports 10+ languages
View Code

URL Shortener Platform

Backend Systems | React · Node.js · Express · PostgreSQL

A Production-ready URL shortener that lets users create custom short links, track click analytics, and manage links from a secure dashboard.

ReactNode.jsExpressPostgreSQLJWTREST APITailwind CSSRate Limiting

Impact

  • 80% faster link creation through custom slugs and expiration
  • Click analytics with referrer, device, and geo tracking
  • Abuse-resistant backend with rate limiting
View Code

Job Application Tracker

Full-Stack Web | React · Node.js · PostgreSQL

A full-stack dashboard to track job applications, statuses, and deadlines with a Kanban-style workflow.

ReactTailwind CSSNode.jsExpressPostgreSQLJWTREST APIChrome Extension

Impact

  • drag-and-drop pipeline that reduces manual work by 40%
  • Search, filters, and CSV export for quick slicing
  • Reminder engine with scheduled deadline notifications
View Code

Work History

Aug 2025 - PresentCurrent

Graduate Teaching Assistant - IT 207: Applied IT Programming (Server-Side Development)

George Mason University

  • MENTORED 100+ students on Node.js, SQL, and distributed systems → improved lab completion & pass rates.
  • TRAINED students to build SQL-based backend services → 30% fewer runtime failures.
  • ENGINEERED production-style debugging labs on distributed pipelines → improved student's debugging mastery
  • LED weekly coding & debugging labs on RESTful service design → enabled students to build backend services.
  • PROVIDED 1:1 support through office hours, code reviews → boosted overall success rates across the course.
  • BUILT CNN-GRU academic performance predictor on Codio logs → 89% accuracy identifying at-risk students.
Dec 2022 – Feb 2023

Software Engineer Intern

Verzeo Edutech

  • BUILT full-stack features (React + Django) → supported 1K+ students accessing courses & assessments smoothly.
  • DESIGNED focused REST API layer for course/progress data → 40% fewer client calls & 25% faster page loads.
  • RESOLVED login failures with OAuth2 + OpenAthens SSO → 45% fewer auth issues during peak hours.
  • OPTIMIZED relational schemas for courses, users & attempts → reduced heavy query latency by 30–45%.
  • STANDARDIZED cursor pagination & server-side joins in REST layer → 60% fewer DB round-trips during peak traffic.
  • COLLABORATED with engineers via code reviews & Git workflows → improved API consistency & codebase quality.

Academic Background

Academic foundation that underpins my work in software and AI/ML engineering.

Aug 2024 - May 2026 (Expected)In Progress

Master of Science - Information Systems

George Mason University - Fairfax, Virginia, USA

Graduate program focused on backend systems, distributed computing, data engineering, and AI/ML applications.

  • Projects in distributed systems, RAG platforms, and cloud-native services
  • Emphasis on software architecture, data modeling, and cloud infrastructure
Aug 2020 - May 2024

Bachelor of Technology - Information Technology

Anna University - Tamil Nadu, India

Undergraduate foundation in computer science, algorithms, networking, databases, and full-stack development.

Get in Touch

Best way to reach me for opportunities or collaborations.