I'm a software engineer who transforms complex challenges into elegant solutions that scale. From optimizing CUDA kernels for 1.46x speedups to building real-time platforms with sub-500ms latency, I thrive at the intersection of technical excellence and business impact.
My approach is simple: measure twice, optimize once, ship constantly. Whether it's achieving 94% accuracy in production ML systems or rendering 1M+ points at 858 FPS, I believe in pushing the boundaries of what's possible while keeping the user experience at the center.
Currently seeking opportunities to tackle meaningful challenges at companies building the future.
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Built a production RAG system with fine-tuned Llama-3.1-8B that matches GPT-4 quality at a fraction of the cost. Implemented custom attention caching that reduced latency by 73%, enabling real-time responses. Technical Deep Dive
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Created a video watch party platform with perfect synchronization across distributed clients. Engineered a binary WebSocket protocol with delta compression, achieving sub-500ms latency for seamless real-time collaboration. Technical Deep Dive
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Developed fused CUDA kernels for transformer models, achieving near-theoretical memory bandwidth utilization. This optimization enables significantly faster inference for large language models through innovative kernel fusion techniques. Technical Deep Dive
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Built a 3D point cloud viewer that outperforms industry standards by 7.2x. Implemented custom spatial indexing and SIMD optimizations to achieve real-time rendering of massive datasets. Technical Deep Dive
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Python |
TypeScript |
C++ |
React |
PyTorch |
Docker |
Kubernetes |
Systems |
📚 View Complete Tech Stack
Core Languages:
Expert: [Python, TypeScript, C++, JavaScript]
Proficient: [CUDA, SQL, Bash]
AI/ML Stack:
Frameworks: [PyTorch, Transformers, LangChain, scikit-learn]
Techniques: [Fine-tuning, RAG, Embeddings, Vector Search]
Production: [ONNX, TensorRT, Model Quantization, Batching]
Backend Engineering:
Python: [FastAPI, Django, Flask, Celery]
Node.js: [NestJS, Express, Socket.IO, Bull]
APIs: [REST, GraphQL, gRPC, WebSockets]
Frontend Development:
Core: [React, Next.js, Redux, TypeScript]
UI: [Tailwind CSS, Material-UI, Framer Motion]
Advanced: [Three.js, D3.js, WebRTC, Canvas API]
Data & Infrastructure:
Databases: [PostgreSQL, MongoDB, Redis, Elasticsearch]
Vector DBs: [Pinecone, FAISS, Chroma, Qdrant]
Message Queues: [RabbitMQ, Kafka, Redis Pub/Sub]
DevOps & Cloud:
Containers: [Docker, Docker Compose, Buildkit]
Orchestration: [Kubernetes, Helm, ArgoCD]
CI/CD: [GitHub Actions, GitLab CI, Jenkins]
Cloud: [AWS (EC2, S3, Lambda), GCP, Vercel]
Performance & Systems:
GPU: [CUDA, cuDNN, Thrust, OptiX]
CPU: [SIMD, OpenMP, Threading, Profiling]
Graphics: [OpenGL, Vulkan, Shaders]
User First Every optimization should improve the user experience |
Data Driven Measure twice, optimize once, validate always |
Ship Fast Perfect tomorrow loses to good today |
Think Scale Build for 10x growth from day one |
| Capability | Evidence |
|---|---|
| 🏗️ Full Product Ownership | Shipped end-to-end solutions from concept to production |
| ⚡ Performance Excellence | 1.46x-7.2x improvements across different domains |
| 📊 Production Experience | Deployed scalable systems with real-world usage |
| 🎯 Technical Precision | 94% ML accuracy, 95.3% GPU efficiency achieved |
| 🚀 Rapid Execution | From idea to MVP in days, not months |
I'm excited about joining teams that are:
- Building products that matter - Real problems, real impact, real users
- Pushing technical boundaries - Where "impossible" is just another challenge
- Moving fast with purpose - Velocity with vision, not just for speed's sake
- Creating the future - Not just following trends, but setting them
I'm always excited to discuss challenging problems and explore how I can contribute to your team's success.
Whether you're building the next breakthrough in AI, scaling systems to billions, or creating products that change lives - let's talk.
Status: Actively seeking new opportunities | Availability: Immediate | Location: Flexible/Remote