π§ System Profile
[STATUS] β Available
[ROLE] Full Stack AI Developer
[FOCUS] AI Engineering Β· Backend Systems
[BUILDING] AI-powered applications & scalable APIs
[WORKING WITH] LLMs Β· RAG Β· FAISS Β· FastAPI Β· Redis
[INTERESTS] System Design Β· Real-time Systems Β· Developer ToolsFull-Stack Software Engineer specializing in designing and scaling backend systems with FastAPI and integrating AI & Machine Learning (RAG, LLMs) into real-world applications. Passionate about system design, distributed systems, and performance optimization.
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I'm an Information Science & Engineering student passionate about architecting scalable software solutions and resolving complex, real-world problems through technology.
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AI-powered peer learning platform. Connects learners via semantic skill matching using RAG + vector embeddings. Features real-time collab, gamified reputation, and personalized recommendations.
- ποΈ Architecture: Modular monolithic backend deploying semantic search via FAISS + LangChain, event-driven WebSocket architecture for real-time chat, and a custom gamified reputation engine.
- π οΈ Tech Stack:
FastAPIReactPostgreSQLRedisLangChainFAISSDockerNginx - π― Impact: Designed to bridge the gap between learners and mentors, creating a highly scalable knowledge-sharing ecosystem for peer-to-peer growth.
AI debugging assistant. Identifies bugs, explains errors in plain language, and suggests intelligent fixes, cutting debugging time with LLM-powered code analysis.
- ποΈ Architecture: Stateless REST API layer integrating advanced LLM APIs for automated code semantic analysis and rapid remediation generation.
- π οΈ Tech Stack:
PythonFastAPILLM APIsReact - π― Impact: Greatly reduces debugging time, enabling developers to understand and resolve complex coding issues more efficiently using AI-powered insights.
Academic resource management platform. ML-driven booking engine, AI analytics, and interactive dashboard that cuts manual scheduling overhead entirely.
- ποΈ Architecture: Cloud-native data pipelining with predictive ML models for dynamic resource allocation and visual data dashboards.
- π οΈ Tech Stack:
PythonSupabaseMachine LearningData Visualization - π― Impact: Built to significantly improve classroom efficiency by eradicating manual resource handling bottlenecks in academic environments.
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