Aruthra Sathish Kumar
Software Engineer · AI/ML Engineer
I build scalable backend systems and AI-powered applications that turn complex ideas into reliable products.
Skills
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
Projects
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.
Impact
- +40% relevance improvement
- Real-time inference via local Mistral (Ollama)
- Persistent chat memory using PostgreSQL JSONB
Academic Performance Predictor (CNN-GRU)
Deep Learning | PyTorch · NumPy · Pandas
A hybrid CNN-GRU deep learning model predicting student performance using temporal coding patterns.
Impact
- 89% accuracy
- Processes 1K+ logs in real time
- 67% faster student interventions
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.
Impact
- Supports 50+ live voice queries
- <100ms update latency
- Supports 10+ languages
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.
Impact
- 80% faster link creation through custom slugs and expiration
- Click analytics with referrer, device, and geo tracking
- Abuse-resistant backend with rate limiting
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.
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
Certifications
Cloud Credentials
Cloud and data certifications that strengthen my backend and AI/ML engineering work.
Experience
Work History
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.
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.
Education
Academic Background
Academic foundation that underpins my work in software and AI/ML engineering.
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
Bachelor of Technology - Information Technology
Anna University - Tamil Nadu, India
Undergraduate foundation in computer science, algorithms, networking, databases, and full-stack development.
Contact
Get in Touch
Best way to reach me for opportunities or collaborations.
