Team

Rohan Patil, Lead Full-Stack AI Engineer

Rohan Patil

Lead Full-Stack AI Engineer

Rohan works across the full depth of an AI product - prompt design and retrieval quality at one end, the API layer and user interface at the other. He has shipped eleven production AI systems, spanning conversational assistants, document-grounded retrieval, and agents that coordinate several external tools behind a single request.

He leads engineering teams, runs technical interviews, and translates business requirements into scoped, buildable work. Much of his time goes to the part teams underestimate: making a model behave predictably under real traffic, real data, and real cost constraints.

Focus Areas

What Rohan works on

LLM Product Engineering

Designs assistant interfaces and prompt architectures that stay accurate and affordable at production volume.

Retrieval & RAG Systems

Builds document-grounded question answering over proprietary corpora with source-traceable responses.

Multi-Tool Agents

Unifies workflows spanning several external services into a single conversational interface.

Technical Leadership

Leads delivery teams, breaks requirements into actionable scope, and runs engineering hiring.

Skills

Tools and technologies

AI & Machine Learning

  • Large Language Models
  • Prompt Engineering
  • RAG
  • Retrieval Pipelines
  • Fine-tuning
  • JSONL Datasets

Backend

  • Node.js
  • FastAPI
  • Python
  • TypeScript
  • REST APIs
  • Webhooks
  • Redis
  • Celery
  • OAuth2
  • JWT

Frontend

  • React
  • Next.js
  • Vite
  • TypeScript
  • Redux

Data & Infrastructure

  • PostgreSQL
  • MySQL
  • AWS
  • Docker
  • CI/CD
Experience

Selected work

  1. 01

    Eleven production AI systems

    Delivered conversational assistants, retrieval systems, and multi-step agent workflows from prototype through production release.

  2. 02

    230,000+ conversations served

    Deployed 75 configurable assistant flows through an embeddable script, handling conversation volume at scale.

  3. 03

    21% inference cost reduction

    Cut model spend on a high-traffic assistant through targeted prompt restructuring, without degrading answer quality.

  4. 04

    Five tools behind one prompt

    Collapsed multi-step workflows across CRM, storage, mail, calendar, and market data into a single natural-language interface.

  5. 05

    Document-aware chat interface

    Built a dual-pane reading and question-answering experience for working through document sets alongside a grounded assistant.

  6. 06

    Platform for 3M verified professionals

    Engineered a scalable networking and coursework platform serving a directory-verified professional community.

  7. 07

    AI trip planning for 400,000+ users

    Built route generation with polygon-based location mapping, live weather, and imagery enrichment for a large travel community.

  8. 08

    On-chain escrow payouts

    Implemented a smart-contract vault escrow securing deposits and releasing creator payouts on verified delivery.

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