Open to Software Engineering and AI/ML 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
  • Real-time systems & stream processing
  • System design & architecture
  • AI/ML engineering
  • Agentic AI systems & tool orchestration

AI & Machine Learning

  • PyTorch, TensorFlow, Scikit-learn
  • Pandas, NumPy, Matplotlib
  • RAG, FAISS, embeddings, LLM integration
  • Generative AI (LLMs, diffusion models), Agentic AI workflows
  • Multilingual speech systems
  • ETL workflows, data analysis & web scraping
  • MCP (Model Context Protocol), pgvector semantic search

Backend & Web

  • Node.js, FastAPI, Django
  • REST, GraphQL, WebSockets
  • React, Next.js, Tailwind CSS
  • Event-driven architecture (Kafka, async pipelines)

Cloud, DevOps & Data

  • AWS & Azure cloud services
  • Docker, Kubernetes, GitHub Actions
  • Apache Kafka, Apache Flink
  • PostgreSQL, MySQL, MongoDB, Redis
  • Redis (advanced: sorted sets, caching patterns)
  • Caching & messaging (Redis, Kafka)
  • CI/CD, monitoring
  • Prometheus, Loki (observability stack)
  • Terraform (infrastructure as code)

Featured Work

Production systems with measurable impact.

WatchTower - MCP Server for Incident Response

AI Infrastructure | Python · MCP · Kubernetes · Postgres

An agentic AI incident response platform where Claude Desktop orchestrates 12 MCP tools to investigate, diagnose, and safely remediate production outages across Kubernetes infrastructure - with cryptographic human-in-the-loop approval and auto-generated postmortems.

PythonMCPPostgreSQL + pgvectorKubernetesPrometheusLokiTerraform

Impact

  • 6x faster incident triage via agentic AI
  • 12 MCP tools across 4 real data sources
  • 100% AI actions gated by HMAC approval

Real-Time Search Ranking System

Distributed Systems | Node.js · Kafka · Flink · Redis

A production-style real-time ranking system that processes clickstream data using Kafka, Flink, and Redis to dynamically reorder search results based on user behavior.

Node.jsKafkaApache FlinkRedisDistributed SystemsA/B Testing

Impact

  • 1K+ events/min real-time ranking via Kafka → Flink → Redis
  • <50ms search latency with multi-level caching
  • +30% relevance improvement via A/B testing (CTR-based)

USDA Rural Development AI Assistant

RAG System | React · FastAPI · PostgreSQL · FAISS · Mistral (Ollama)

A production-grade Retrieval-Augmented Generation (RAG) system that enables natural language discovery of 100+ USDA programs using semantic search and grounded AI responses.

ReactTailwindFastAPIPythonFAISSRAGOllamaPostgreSQL

Impact

  • <1s AI responses
  • +40% discovery accuracy
  • 100% grounded responses

Academic Performance Intelligence System (CNN-GRU)

Deep Learning | PyTorch · MLflow · Pandas

Multi-task CNN-GRU model predicting student risk and grades from sequential behavioral data.

PyTorchScikit-learnPandasMLflowPlotlyJavaScript

Impact

  • 88.9% risk prediction accuracy
  • 59% lower error vs baseline models
  • Detects hidden risk via grade volatility

SpeakUp - Anonymous Voice Q&A Platform

Real-Time Systems | Next.js · Fastify · Kafka · Redis · PostgreSQL

A multilingual anonymous Q&A platform for live events with text and voice questions, live voting, polls, host moderation, and real-time updates.

Next.js 14FastifyPostgreSQLRedisKafkaSocket.ioGroq WhisperDeepL

Impact

  • 500+ concurrent users per room
  • Sub-100ms real-time vote updates
  • 99+ language voice transcription

Pathly - Url Shortener

Backend Systems | FastAPI · Redis · MySQL

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

ReactTailwind CSSFastAPIRedisMySQLJWTCache-AsideSystem Design

Impact

  • Sub-1ms redirects via Redis caching
  • 100% click tracking with async analytics
  • Stateless JWT authentication for scalable sessions

Careerlens - Job Search Intelligence Platform

Full-Stack Web | React · FastAPI · PostgreSQL

A job search intelligence platform that transforms application tracking into data-driven insights, strategy optimization, and decision-making.

ReactTailwind CSSFastAPIPostgreSQLJWTGoogle OAuthRechartsChrome Extension

Impact

  • 60% reduction in manual job entry via Chrome Extension auto-capture
  • 40% improvement in interview conversion visibility through funnel analytics
  • <1s insights using SQL-based real-time aggregations

Work History

Aug 2025 - May 2026

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 – Jan 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

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.