Jinank Thakker

Jinank Thakker

AI Solutions @ Hyatt · Generative AI, Agentic Workflows & RAG

New York, NY · Chicago HybridSeptember 2026

AI Solutions Specialist at Hyatt with 12+ years of software engineering experience, focused on enterprise generative AI, agentic workflows, RAG, and production ML systems. MS in Data Science & Analytics from SUNY Polytechnic Institute (3.97 GPA, Machine Learning specialization).

At Hyatt, I design, build, test, and deploy practical generative AI solutions for hotel operations and colleague productivity using OpenAI, ChatGPT, Microsoft Copilot, Python, RAG, and automation. I translate operational requirements into secure, scalable systems with grounded responses, human review, access controls, and auditability.

Previously, at SUNY Poly, I built LLM-based NLP pipelines for Russell 3000 earnings-call research. At Rethinksoft, I engineered an ML prediction system that drove $0 → $1M MRR for a Dubai-based client. Earlier, as a founding engineer at Orderhive, I helped scale the platform to 1,500+ merchants before its $45M acquisition by Cin7.

Comfortable across the full stack - Python, TypeScript, REST APIs, SQL, and modern LLM tooling. Strongest where production reliability meets applied ML.

Building secure, production-ready enterprise AI solutions at Hyatt

AI Solutions SpecialistMachine Learning EngineerLLM & Agent Systems Engineer

Experience

Sep 2026 – Present

AI Solutions Specialist

Hyatt Hotels Corporation - Enterprise generative AI, agentic workflows, RAG, automation, and responsible AI for hotel operations

Jan 2025 – May 2026

Graduate Research & Teaching Assistant - ML/NLP

SUNY Poly - LLM-based NLP pipelines, Phi-3 + transformers, Russell 3000 earnings-call research

Apr 2016 – Jul 2024

Senior Software Engineer

Rethinksoft - Conversational AI & ML prediction; drove $0 → $1M MRR for a Dubai-based client

Mar 2013 – Mar 2016

Software Developer

Openxcell - Founding engineer @ Orderhive; scaled to 1,500+ merchants ($45M acquisition by Cin7)

Featured Projects

Certifications

DeepLearning.AI

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (Mar 2026)Neural Networks and Deep Learning (Feb 2026)

Handshake AI

Codex Creator Challenge - AI Job Assistant (Apr 2026)

Education

  • SUNY Polytechnic Institute - MS in Data Science & Analytics (Machine Learning), GPA 3.97/4.00, Aug 2024 – May 2026
  • Gujarat Technological University (LDRP-ITR) - BE in Computer Engineering, GPA 3.76/4.00, 2009 – 2013

Awards

Outstanding Graduate Student Award – Data Science & Analytics

SUNY Polytechnic Institute · May 2026

Codex Creator Challenge - AI Job Assistant

Handshake AI · Apr 2026

Leadership

Frequently Asked Questions

What is Jinank's technical specialty?

Jinank specializes in the intersection of full-stack software engineering and machine learning. He is proficient in Python, TypeScript, and AWS, with a deep focus on MLOps, LLM orchestration (RAG, agents), and high-availability microservices design.

What experience does he have leading teams?

He has led programs like the NYBPC, managing 40+ teams and 100+ participants. Additionally, he has mentored 90+ students in data science and machine learning, defining technical roadmaps and excellence standards.

Connect

jinank.thakker@gmail.com

© 2026 Jinank Thakker. All rights reserved.