Bridging the gap between raw data and intelligent systems.
I am a Software Engineer and Data Analyst deeply invested in the world of Machine Learning, MLOps, and System Design. Currently, I'm focused on building scalable, data-driven products that don't just process informationβthey learn from it.
- π€ Currently Learning: Advanced Neural Networks & LLM Orchestration.
- ποΈ Core Focus: Building reliable MLOps pipelines and high-performance system architectures.
- π Philosophy: Data is the fuel, but well-designed systems are the engine.
- π Background: College Student / Software Development Enthusiast.
AI/ML + Vector Search > Developed a semantic search engine using CLIP and FAISS to enable cross-modal retrieval (Text-to-Image / Image-to-Image). Optimized for low-latency similarity searches in high-dimensional vector spaces.
PyTorchCLIPFAISSPython
Computer Vision + Oncology > Engineered a custom CNN architecture for classifying lung and colon cancer histopathological images. Focused on precision-recall optimization and model interpretability for medical AI applications.
Computer VisionDeep LearningTensorFlow/KerasOpenCV
System Design + MLOps > Built a scalable, distributed rate-limiting service using a Token Bucket algorithm. Implemented with Go and Redis for state management, fully containerized for seamless deployment in microservice clusters.
GoRedisDockerSystem Design
| Project | Focus | Tech Stack |
|---|---|---|
| Multimodal Embedding Search Engine | Vector Search / AI | CLIP, FAISS, PyTorch |
| Lung & Colon Cancer Analysis | Deep Learning / Medical AI | CNN, Python |
When I'm not training models or debugging systems, you might find me tapping into my inner SAIYAN βunleashing maximum power into my code!