Had an amazing session with Rohan! We covered a lot of ground — resume hacks for specific job roles, how to apply strategically, and he pointed me toward a project I should be working on which was super actionable. What stood out was his experience and how encouraging he was throughout. Genuinely one of those sessions where you leave with real clarity and direction. Highly recommend if you're navigating the AI/ML, Fullstack job space!
Bihan Banerjee
Pinned
Really understands your concerns well, and approaches things from a skill building POV around Agentic Development than just keeping it surface level.
Anonymous
Pinned
Rohan was phenomenal in understanding where i want to move within the ml space .He was really patient with me and explained a wonderful strategy of covering breath first vds depth first approach.Any confusion regarding career switch or imposter syndrome in this fast pace ai/ml world ,rohan can be trusted to help you navigate through it.
Ruturaj
Pinned
The session was highly interactive and insightful. It gave me a much clearer understanding of how to position my resume and skill set effectively. We identified the gaps in my profile and discussed actionable steps to address them. The session also helped me connect the dots across my past experiences and present them in a more structured and impactful way.
Rohan Devaki is a Full Stack AI/ML Engineer with 2.8 years of experience building and deploying end-to-end AI-powered applications, combining Generative AI systems with scalable backend and frontend architectures. Experienced in designing Multimodal RAG pipelines, Voice AI agents, and multi-agent LLM workflows, integrated seamlessly with production-grade APIs and user interfaces.
Strong hands-on expertise across Python, FastAPI, ReactJS, Java Spring Boot, PostgreSQL, and vector databases, with deep involvement in cloud-native deployments on AWS and Azure. Skilled in containerization, CI/CD, GPU-based inference optimization, observability tooling, and performance tuning across LLM, STT, and TTS systems.
Comfortable owning the full lifecycle from model experimentation and prompt engineering to backend services, database design, frontend integration, and production deployment