I am a Computer Science graduate student at Penn State, passionate about building high-performance systems and exploring the intersection of distributed systems, parallel processing, and machine learning.
Currently, I am an SDE Intern at AWS.
Software Development Intern | AWS (Redshift Control Plane)
- Built a discrete-event simulator in Java/Kotlin that replayed 6.5M+ events to predict host counts and reservation impacts.
- Achieved 0.1% error in steady-state validation by reverse-engineering production source code and fixing critical modeling bugs.
Software Development Intern | Platform3Solutions
- Architected a self-hosted RAG pipeline using Llama 3 and Flask, serving 500+ users with <200ms latency.
- Optimized retrieval precision by 76% using hierarchical metadata filtering in ChromaDB.
- Petabyte-Scale Distributed Image Platform
- Built in Go with gRPC, Raft consensus, and consistent hashing.
- Sustained 1.17 GB/s aggregate scan throughput using a two-stage failure detector.
- Distributed ML Inference Engine
- Engineered a C++17 system using ONNX and CUDA for heterogeneous hardware support.
- Achieved 522.64 req/sec throughput with a 99.7% cache hit rate.
- Languages: Go, Java, Kotlin, C/C++, Python, SQL
- Systems: Distributed Systems (Raft, gRPC), Multi-threading, Circuit Breakers
- Cloud/Data: AWS, Docker, Linux, PostgreSQL, NoSQL
- ML: PyTorch, TensorFlow, CUDA, ONNX, scikit-learn
I draw inspiration from the bamboo philosophy—growth requires patience, resilience, and building a strong foundation. Read more on Medium.