Backend & AI Engineer
Software Developer
Focused on backend engineering, production infrastructure, and developer-first product execution across cloud, data, and applied machine learning.
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Software Developer specializing in backend engineering and applied AI. I build scalable REST APIs, design reliable data flows, integrate ML models into production, and deploy services on containers and cloud. Comfortable across Proxmox/LXC, Docker, CI/CD, and database-backed systems; I enjoy translating product goals into robust, maintainable backend architectures.
My Academics
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Built and maintained application services and APIs
Delivered features aligned with product and business needs
Improved performance, debugging, and deployment workflows
High-throughput backend services & load balancing
Proxmox/LXC, Dockerized services, HA
Automated pipelines and cloud-native workflows
Automated ETL for scalable ingestion & delivery
Unified data access across multiple sources
GCP & Vertex AI experimentation and integration
Production services integrated with ML
NLP bulk analysis, summarization & entity extraction
JWT auth, Agile, CI/CD (Jenkins, GitHub Actions)
Robust client–server interactions
Performance optimization and debugging
Improved deployment flow with pipelines
Browse My Recent
Developer-focused product platform spanning deployment workflows and meeting intelligence, built with a strong engineering-first brand and product surface.
Search-augmented AI backend that retrieves live web results, extracts page content, and feeds grounded context into a local LLM pipeline through FastAPI and Ollama.
Research-led imaging project on multi-modal medical image fusion, focused on improving visual quality and information retention for downstream diagnosis.
Computer vision project for detecting and tracking human pose landmarks, built to explore real-time inference and movement analysis workflows in Python.
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