From a blank notebook
to production traffic.
Model selection, retrieval design, agent orchestration, evaluation, and deployment — I own it end-to-end and make it reliable at scale.
Available for talks, webinars & mentoring
rinkal@ai:~$ whoami — █
An AI Engineer focused on Generative AI development — turning cutting-edge research into intelligent, real-world products.
From model selection and retrieval to autonomous agents and evaluation — I own the full lifecycle of shipping AI to production.
Model selection, retrieval design, agent orchestration, evaluation, and deployment — I own it end-to-end and make it reliable at scale.
LLMs & SLMs in production — prompt engineering, guardrails, and fine-tuning (LoRA / QLoRA / PEFT).
Autonomous, multi-agent systems on the MCP & A2A ecosystem — tool use & orchestration.
Retrieval that works — hybrid search, re-ranking, semantic chunking & vector DBs tuned for precision.
Trustworthy AI — online & offline evaluation for accuracy, faithfulness, latency & cost.
Production AI, measured. These are outcomes from real enterprise-scale work — the systems themselves stay under NDA.
By automating workflows with LLM + multi-agent orchestration.
Exposing internal tools via MCP servers & A2A-compatible agents.
Hybrid search (BM25 + dense) + cross-encoder re-ranking in RAG.
Across Bedrock, Vertex AI & Groq on latency, quality & cost.
End-to-end delivery from pipeline design to launch.
Online & offline evaluation for accuracy, faithfulness, latency & cost.
Deeper context on specific roles & systems is on my LinkedIn.
Where I've built, learned, and grown — from campus to shipping enterprise-scale AI.
Motorola Solutions · Bangalore, India
Architect and ship production-grade Generative & Agentic AI — LLM, RAG and multi-agent systems on the MCP & A2A stack — plus reusable evaluation frameworks used across the org.
Motorola Solutions · Bangalore, India
Delivered production RAG systems end-to-end, benchmarked 20+ LLMs/SLMs across clouds, and built scalable retrieval pipelines with hybrid search & re-ranking.
Ampius Technologies · Remote
Built deep-learning computer-vision models and end-to-end ML pipelines; applied knowledge distillation to shrink models for edge deployment.
CHARUSAT · Gujarat, India
🏅 Gold Medalist — CGPA 9.81/10.0, highest in the department.
A working arsenal across the modern AI engineering stack — from agent frameworks to vector stores, evaluation, and cloud infra.
Showing 0 tools & frameworks — and always growing.
I regularly speak and run sessions on Agentic AI, MCP tooling, and applied Generative AI — for conferences, enterprise audiences, and communities.
Speaker on production Model Context Protocol (MCP) tooling and Agentic AI architecture — how to build, expose, and govern real agent ecosystems.
Delivered at Global Tech Talks 2025 to a global internal engineering audience — a deep dive into Generative AI image-synthesis models.
Led a 50+ member Data Science Club, mentoring on ML, Deep Learning, GenAI & Agentic tooling — plus hands-on sessions on LLMs, RAG & MLOps with industry partners.
Want me to speak at your event, run a workshop, or host a webinar?
Invite me via LinkedIn →I help students & professionals accelerate their AI careers with practical, industry-grounded guidance. Book directly on Topmate.
A short 1:1 to connect, ask a focused question, or get a quick confidence boost.
Book → PopularCareer guidance for AI/ML, GenAI & SWE roles — roadmap, skill-gap analysis, and open Q&A with clear next steps.
Book →Build a recruiter-ready resume tailored to the tech roles you're actually targeting.
Book →Realistic interview simulation — LLMs, RAG, Agentic AI, system design & behavioral — with detailed feedback.
Book →Gold Medalist — B.Tech IT (highest in department)
Dewang Mehta IT Award (2023, 2024, 2025)
Peer-reviewed research publications
Mentees led as Data Science Club Lead
Certified across Google Cloud, AWS & Microsoft Azure. For full experience & details, visit my LinkedIn.
Open to speaking, collaborations, and mentoring. Pick whichever works for you.