Software Engineer & AI Systems Builder
MS Computer Science (Machine Learning) · George Mason University
📍 Fairfax, VA | 🛂 F-1 STEM OPT · Available From July 6, 2026 · 36 months authorization
| Project | Description | Stack |
|---|---|---|
| GradeMaster-Pro | Multi-agent AI grading pipeline — 45+ concurrent submissions, zero manual corrections | LangGraph · Gemini · Pydantic |
| Cloud Cost Agent | 6-agent autonomous AWS cost optimizer with tree-of-thought reasoning | Python · Google ADK · Docker |
| MNIST Neural Engine | Neural net from scratch — 96.09% accuracy, 92.5% size reduction via Int8 quantization | NumPy · OpenCV · Streamlit |
| 3D Photography | Depth-aware 3D Ken Burns + novel view synthesis from a single RGB image | PyTorch · OpenCV · NumPy |
languages = ["Python", "Java", "JavaScript (ES6+)", "SQL", "Bash"]
ai_ml = ["LangChain", "LangGraph", "Google Gemini", "Google ADK",
"PyTorch", "FAISS", "SBERT", "Hugging Face", "Scikit-learn"]
backend = ["Spring Boot", "FastAPI", "RabbitMQ", "Redis", "Kafka"]
frontend = ["React", "Redux"]
cloud = ["AWS (EC2, EKS, SQS, S3)", "Azure", "Google Cloud Run",
"Docker", "Kubernetes", "Terraform", "CI/CD"]
databases = ["PostgreSQL", "pgvector", "PostGIS", "MySQL",
"Supabase", "Redis"]Graduate Teaching Assistant — Operating Systems · George Mason University (2025–2026)
Mentored 120+ undergrads in OS fundamentals: processes, memory, concurrency, Linux
Member of Technical Staff I → III · Nineleaps Technology Solutions (2022–2024)
Promoted twice in 2.5 years · Backend, Full-Stack & Cloud Infrastructure
- Sub-200ms API responses via JVM G1GC tuning · 11,000+ daily requests
- 47% faster deployments via Terraform IaC + Dockerized CI/CD
- 40% LCP improvement · 3,500+ employee training portal
George Mason University — MS Computer Science · Concentration: Machine Learning · GPA 3.57 · May 2026
Sri Krishna College of Engineering and Technology — B.Tech Information Technology · May 2022
Open to: Software Engineer · AI/ML Engineer roles.
📬 mahesh.chebrolu.dev@gmail.com