I am a Master's student in Computer Science at the University of Texas at Dallas (GPA 4.0), actively seeking New Graduate and Entry-Level Software Engineering roles. I am passionate about building scalable distributed systems, network architectures, and AI-driven applications.
- 💼 Latest Role: Software Development Intern at Paycom (working on .NET/React & OCR engines).
- 🏢 Previous Experience: Senior Associate of Development at American Express, where I designed, developed and scaled internal tools using Python, Golang and GCP.
- 🏆 Achievements: Paycom Code-a-thon Winner (2025) & Gupta Fellow at UT Dallas.
- ⚡ Interests: High-concurrency systems, Cloud Architecture (AWS/GCP), and Generative AI (RAG pipelines).
| Category | Technologies |
|---|---|
| Languages | |
| Backend & Cloud | |
| Databases & Cache | |
| Frontend & Tools |
| Project | Tech Stack | Description |
|---|---|---|
| Distributed Real-Time Watch Party | Golang Redis WebSockets React |
Architected a distributed system handling 10k+ concurrent users via sharding and event-driven message delivery. |
| Network Path Visualizer | Python React Graph Algorithms |
Built a highly interactive tool for visualizing complex network routing, pathing, and architectural topologies. |
| AI Financial Analyst (SIA) | LangChain FAISS Gemini |
Built a financial advisor using a Retrieval-Augmented Generation (RAG) system for sub-second vector search retrieval. |
| Cloud-Native AI Video Generator | Kubernetes FastAPI Celery FFmpeg |
Designed a containerized video pipeline, auto-scaling worker nodes to reduce processing time by 90%. |
graph TD
%% Custom Styles
classDef frontend fill:#0D1B2A,stroke:#5BC0BE,stroke-width:2px,color:#FFF
classDef routing fill:#F2A541,stroke:#0D1B2A,stroke-width:2px,color:#000
classDef compute fill:#1B263B,stroke:#5BC0BE,stroke-width:2px,color:#FFF
classDef state fill:#415A77,stroke:#F2A541,stroke-width:2px,color:#FFF
classDef db fill:#336791,stroke:#FFF,stroke-width:2px,color:#FFF
classDef storage fill:#8C3061,stroke:#FFF,stroke-width:1px,color:#FFF
subgraph "🌐 Client Tier"
UI["💻 React SPA (Video & Chat)"]:::frontend
end
subgraph "🚦 Network & Edge"
CDN["📦 CloudFront/CDN (Static Assets)"]:::routing
LB["⚖️ Cloud Load Balancer (WSS/GRPC)"]:::routing
end
subgraph "⚙️ Go Microservices"
WS["🟢 WebSocket Handler (Sharded)"]:::compute
API["🔵 REST API (Auth & Rooms)"]:::compute
WORKER["🟣 Async Worker (Video Processing)"]:::compute
end
subgraph "⚡ Real-Time Layer"
PUBSUB["📢 Redis Pub/Sub (Event Bus)"]:::state
CACHE[("🗄️ Redis (Session & Lock)")]:::state
end
subgraph "💾 Data & Storage"
DB[("🐘 PostgreSQL (Users & History)")]:::db
S3[("☁️ S3/GCS (Video Content)")]:::storage
end
%% Flow Connections
UI --"HTTPS (Fetch Assets)"--> CDN
UI <== "WSS (Persistent)" ==> LB
LB ==> WS
LB ==> API
WS <-->|Broadcasting| PUBSUB
WS <-->|Sync State| CACHE
API -->|Auth/CRUD| DB
WORKER --"Scan/Process"--> S3
WORKER --"Save Metadata"--> DB
API --"Enqueue Task"--> CACHE
