Available for full-time roles — New Grad May 2026

AI/ML Engineer. 5 publications. 50+ citations.

AI/ML Engineer and Computer Science graduate researcher with expertise in LLM interpretability, multilingual NLP, and AI-driven automation. Built production AI pipelines processing 1,000+ documents using Claude API. NVIDIA Generative AI certified with 3 AWS certifications.

Fairfax, Virginia George Mason University · GPA: 3.52/4.0 F-1 Visa · OPT Eligible (36 months)
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5
Peer-Reviewed Publications
50+
Research Citations
3.52
GPA at George Mason
6
Professional Certifications
May '26
Graduation Date
Chennu Naga Venkata Sai

About

Research meets real-world AI engineering.

I'm an AI/ML Engineer pursuing my Master of Science in Computer Science at George Mason University (GPA: 3.52, 27 credits completed), expected May 2026. As a Graduate Research Assistant at the Costello College of Business, I work under Dr. Saurabh Mishra (Marketing Analytics & AI) and Dr. Jiyeon Hong (AI Personas & Customer Experience) on cutting-edge research in AI-driven automation and LLM applications.

I've authored 5 peer-reviewed publications with 50+ citations and 1 registered copyright — spanning AI/ML, NLP, cybersecurity, blockchain, and speech processing. I've built production AI pipelines processing 1,000+ documents using Claude API and developed multi-agent research systems with RAG architectures.

I hold NVIDIA Generative AI certification, 3 AWS certifications, and Red Hat certification. Seeking AI Engineering, Prompt Engineering, or GenAI Development roles starting May 2026.

Research & Publications

5 peer-reviewed publications with 50+ citations and 1 registered copyright across AI/ML domains.

Production AI Systems

Built AI pipelines processing 1,000+ documents with Claude API, multi-agent systems, and RAG architectures.

Industry Certifications

NVIDIA Generative AI, 3x AWS Certified, Red Hat Certified, and Claude Code Certified.

Technical Skills

What I work with

Technologies from my resume, research, and production projects.

Languages

Python Java JavaScript SQL R HTML/CSS Bash

AI / ML

LLMs (GPT, Claude API) Deep Learning NLP Neural Networks (ANN, CNN, RNN) RAG Architectures Predictive Analytics Text Mining Speech Processing

Frameworks & Tools

TensorFlow PyTorch FAISS Pinecone ChromaDB Hugging Face Scikit-learn Pandas NumPy

Cloud & Data

AWS (3x Certified) Data Pipeline Design ETL SQL/NoSQL Databases REST APIs Docker

Security

AI-Based Cybersecurity Network Security DNS Anomaly Detection Ethereum Blockchain Smart Contracts

Development

Full-Stack (Python, Java) Component-Based Architecture Agile Git CI/CD

Key Projects

What I've built

Production AI systems and research-driven engineering.

Multi-Agent AI Research Discovery Platform

Python, RAG, FAISS, Pinecone, ChromaDB
  • Designed a 23-agent research automation system using Mixture of Experts (MoE) architecture for automated literature discovery and analysis
  • Integrated RAG pipelines with vector databases (FAISS, Pinecone, ChromaDB) for multi-modal document retrieval and processing
Python RAG MoE Vector DB

Trademark Analysis Pipeline (Claude API)

Python, Claude API, Document Processing
  • Developed production-scale document processing system handling 1,000+ trademark cases with automated classification and data extraction
  • Achieved significant cost optimization through prompt caching and efficient API usage patterns
Claude API Python NLP

DNS Anomaly Detection System

Python, Machine Learning, Network Security
  • Built ML-based DNS anomaly detection system applying network security principles to identify malicious DNS traffic patterns
  • Course project for ISA 656 - Network Security at George Mason University
ML Security Python

Dynamic Adaptive Data Transmission System

RNN, BICM, QAM/PSK Signal Processing
Copyright Registered
  • Co-authored system integrating Recurrent Neural Networks with Bit-Interleaved Coded Modulation for enhanced QAM and PSK signal processing
  • Copyright L-142224/2024 registered with the Government of India
RNN Deep Learning Signal Processing

Research Experience

Where I work

Cross-disciplinary research at the intersection of AI, marketing, and customer experience.

Graduate Research Assistant Aug 2025 – Present
Costello College of Business, George Mason University
Advisors: Dr. Saurabh Mishra (Marketing Analytics & AI) & Dr. Jiyeon Hong (AI Personas & Customer Experience)
  • Built an AI automation pipeline analyzing 1,000+ trademark opposition cases using Claude API for visual intelligence, document classification, and structured data extraction
  • Constructed structured datasets from Factiva and proprietary sources for NLP-based marketing analytics and statistical modeling
  • Conducting literature review on AI-driven personas, studying how LLMs generate adaptive, context-aware agents for customer engagement and personalization
Undergraduate Research Assistant May 2022 – May 2024
Dept. of CSE, KL University, India
  • Published 4 Scopus-indexed journal articles and 1 IEEE conference paper across AI/ML, NLP, cybersecurity, and blockchain over 2 years
  • First-authored studies on AI-based cybersecurity risk mitigation and ensemble ML methods for predictive healthcare analytics
  • Co-authored research on psychological stress detection using ANN/CatBoost and Ethereum blockchain-based land registration systems
  • Presented speech quality assessment research for Indian languages at IEEE ICICT 2023, Tribhuvan University, Nepal

Publications (5)

Peer-reviewed research

5 peer-reviewed publications | 50+ citations | Scopus Author ID: 58404553900

Assessing the Effectiveness of Artificial Intelligence Techniques in Mitigating Cyber Security Risks First Author
International Journal of Intelligent Systems and Applications in Engineering, 11(4)
2023
Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method First Author
International Journal on Recent and Innovation Trends in Computing and Communication, 11(6s)
2023
Comparative Analysis of Psychological Stress Detection: A Study of Artificial Neural Networks and CatBoost Algorithm
International Journal of Intelligent Systems and Applications in Engineering, 12(1)
2024
A Novel Strategy for Streamlining Land Registration using Ethereum Blockchain
International Journal of Intelligent Systems and Applications in Engineering, 11(4)
2023
Speech Quality Assessment and Control in Indian Languages
IEEE ICICT 2023 — 6th International Conference on Inventive Computation Technologies, Tribhuvan University, Nepal
2023 · DOI: 10.1109/ICICT57646.2023

Professional Certifications

Industry credentials

NVIDIA, AWS, Red Hat, and Anthropic certified.

NVIDIA Certified Associate: Generative AI and LLMs
NVIDIA
Feb 2026 · Verify →
AWS Certified AI Practitioner
Amazon Web Services
Nov 2025 · Verify →
AWS Certified Cloud Practitioner (CLF-C01)
Amazon Web Services
2022
AWS Certified Developer Associate
Amazon Web Services
2022
Red Hat Certified Enterprise Application Developer (EX 183)
Red Hat
2022
Claude Code Certification
Anthropic
Dec 2025 · Verify →

Education

Academic background

Master of Science in Computer Science
George Mason University, Fairfax, VA
Aug 2024 – May 2026 · GPA: 3.52/4.0 · 27 credits completed
Key Courses: Network Security (A-), Software Engineering for WWW (A), Component-Based Software Dev (A-), Database Systems, Data Mining, Analysis of Algorithms
Bachelor of Technology in Computer Science & Engineering
KL University (Koneru Lakshmaiah Education Foundation), Andhra Pradesh, India
May 2020 – May 2024 · CGPA: 8.29/10.0
Key Courses: Machine Learning (A+), AI for Data Science (A), Data Structures (A+), Algorithms (A+), Computer Networks & Security (A)

Contact

Get in touch

Open to AI Engineering, Prompt Engineering, or GenAI Development roles starting May 2026.

Email
chennunagavenkatasai @gmail.com
Phone
(571) 546-6207
LinkedIn
Connect
GitHub
View Code
ORCID
Research ID

Let's work together.

New Grad May 2026 · MS in Computer Science · F-1 OPT Eligible (36 months authorization)

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