I’m a Staff AI Engineer with 5+ years of experience building production-grade AI systems, and a strong foundation in Data Structures & Algorithms that underpins everything I design and optimize. I currently work at HighLevel, where I build low-latency ML and LLM systems, recommendation engines, and scalable AI pipelines. I don’t treat DSA as interview trivia — I use it daily to design efficient, reliable, and scalable systems. My core strengths include: Data Structures & Algorithms (Deep, Practical Focus) Designing optimal solutions using arrays, hash maps, trees, heaps, graphs, tries, and segment trees Algorithmic patterns: sliding window, two pointers, binary search on answer, greedy, divide & conquer Graph algorithms: BFS/DFS, shortest paths, topological sort, union-find Dynamic Programming: state modeling, space/time optimization Writing clean, modular, reusable code with minimal time & space complexity Translating vague problems into clear constraints → optimal solutions Machine Learning & LLM Systems Python, ML, Deep Learning, NLP, and Large Language Models RAG systems, fast inference, vector & hybrid search AI agents (CUA, MCP), tool-using LLMs, system orchestration Cost and latency optimization in real-world deployments I help people with: DSA interview prep (Google-style thinking, not brute force) ML & LLM system design interviews Transitioning from mid → senior → staff roles Building scalable AI products and validating ideas fast If you’re looking for clear thinking, strong fundamentals, and real-world engineering judgment, I’d be happy to help.