I’m an AI researcher and engineer working at the intersection of machine learning, agentic AI systems, and real-world applications. Over the past few years, I’ve worked on research projects, benchmarks, and practical systems that use deep learning, information theory, and modern ML tooling. I primarily help students and early-career engineers who feel “stuck” or confused about what to do next: whether it’s breaking into software engineering, landing research internships, or building a strong AI portfolio. Instead of generic advice, I focus on concrete next steps – what to learn, what to build, and how to present it. In our calls, we can work on things like: Clarifying your career direction (SWE vs ML engineer vs research roles). Designing a realistic learning roadmap in AI/ML while managing college or a job. Building standout projects (end-to-end ML apps, research-style projects, or agentic AI systems) and showcasing them on GitHub/LinkedIn. Reviewing your resume, LinkedIn, Topmate, and personal brand so recruiters and professors actually notice you. Preparing for interviews (DSA, system design basics, ML fundamentals, “tell me about yourself”, research interviews). If you’re serious, even slightly confused, and willing to put in the work, I’ll help you cut out the noise, create clarity, and move step-by-step towards strong engineering or research opportunities.