AI Solutions Architect
I design and ship production AI systems. That covers classical ML and deep learning, LLM apps, RAG pipelines, and multi-agent setups.
Pick the right approach. Build it properly. Get it into production.
Strategy, architecture, and delivery for real production systems.
See projects to understand where I've applied these.
Classical ML, neural nets, computer vision, NLP, and graph models. From experiments through to production pipelines.
Retrieval systems with vector search and hybrid ranking so LLMs answer from your private data without guessing.
LLM apps, prompt systems, fine-tuning plans, evaluation, and GenAI features you can actually put in front of users.
Multi-agent workflows and tool-using pipelines for research, extraction, and longer business processes.
Chat, search, and recommendations built end to end, from the model layer through the API to the frontend.
Stack choices, feasibility checks, and roadmaps so you know what to build before the coding starts.
Production systems for startups and enterprises.
LangGraph agents learn your identity and writing style, then fill an inbox with ready-to-post drafts. Swipe to approve, reject, or edit.
Agentic AI for clinic care: multi-step agents handle WhatsApp intake, structured consults, lab extraction, and multilingual summaries with DB-level tenant isolation.
AI-powered load testing: generate OpenAPI scenarios, run chaos profiles, and get bottleneck analysis with actionable fixes.
I work across machine learning, deep learning, generative AI, LLMs, and RAG, and I care about getting systems into production.
Previously founding member and AI architect at Doriot AI. Currently building agentic GenAI at CBRE. Shipped systems across the US, UK, and India.
Read My Full Story →If my work resonates, I'd like to hear from you. Happy to talk about production AI systems and what you're building.
Based in Hyderabad, India (GMT+5:30) • Working globally