Hi, I'm @jinank,
AI Solutions Specialist
who builds self-healing
AI systems that act.
Work Experience
End-to-end ownership through design → architecture → deployment → optimization, collaborating with cross-functional teams to deliver real impact.
Hyatt Hotels Corporation
AI Solutions Specialist
Sep 2026 – Present
- •Design, build, test, and deploy practical generative AI solutions for hotel operations and colleague productivity
- •Develop AI workflows using OpenAI, ChatGPT, Microsoft Copilot, Python, retrieval-augmented generation, and automation
- •Translate operational requirements into secure, scalable, and production-ready AI solutions
- •Apply responsible AI practices including grounded responses, human review, access controls, and auditability
- •Collaborate with business and technical teams across prototyping, evaluation, deployment, and adoption
Core Expertise
Enterprise AI Solutions
Secure, scalable AI workflows for hotel operations and colleague productivity.
- Generative AI & Agentic Workflows
- Grounded RAG Solutions
- Responsible AI & Access Controls
Cross-Functional Delivery
Partnering with business and technical teams from prototype through adoption.
- Business & Technical Collaboration
- Evaluation & Deployment
- Operational Adoption
Responsible AI
Designing grounded, auditable AI experiences with human review and access controls.
- Human-in-the-Loop Review
- Secure & Auditable Workflows
Supporting Hyatt’s enterprise AI initiatives across operations and colleague productivity
SUNY Polytechnic Institute
Graduate Research & Teaching Assistant - ML/NLP
Jan 2025 – May 2026
Developed LLM-based NLP pipelines using Phi-3 and instruction-tuned transformers for Russell 3000 earnings-call research; automated preprocessing by 25%, built reproducible analytics workflows, and mentored 90+ students in Python, SQL, and machine learning.
Rethinksoft
Senior Software Engineer
Apr 2016 – Jul 2024
Engineered an end-to-end ML prediction system for a Dubai-based client, driving $0 → $1M MRR in year one. Designed conversational workflows with dialog state management, slot-filling, and human-escalation paths; built Node.js/Python bot orchestration services with REST and OAuth2/JWT integrations to internal and third-party systems.
"Exceptional engineer who bridges the gap between ML research and production code."
Openxcell Technolabs
Software Developer
Mar 2013 – Mar 2016
Founding engineer for the Orderhive platform, supporting 1,500+ global merchants and contributing to a $45M acquisition.
Founding Engineering
Built core ecommerce integrations and optimized database performance by 40%.
"Instrumental in scaling our backend and securing our acquisition."
Projects
jinank853 contributions in 2026
GitHub Contribution Grid · Updated through Sep 18, 2026
Leadership & Awards
Recognized for academic excellence and technical contributions in the field of engineering and data science.
- Outstanding Graduate Student Award – Data Science & Analytics (2026)
- Codex Creator Challenge – Handshake AI (2026)
- Program Head @ NYBPC (2025–2026)
- Chairperson @ IEEE LDRP-ITR Student Branch (2010–2012)
for SAs
GNSS Spoofing Detection
Developing transformer-based models for GNSS/GPS spoofing detection using sequential signal patterns and time-series features. Evaluating robustness using recall, F1, ROC-AUC, false-negative rate, and error analysis.
LLM Hyperparameter Optimization
Conducted a 2³ factorial experiment on LLM sampling parameters to quantify impact on readability and output quality. Applied ANOVA to identify top-p as the strongest readability driver (F=4.915, p=0.036). Findings presented in Streamlit.
Patent Phrase Matching
End-to-end DeBERTa semantic matching pipeline for patent phrase similarity across a 10,000-document benchmark. Implemented preprocessing, fine-tuning, validation, dashboards, and reporting - achieving 90%+ accuracy.
Deep Reinforcement Learning for Algorithmic Trading
Multi-agent RL environment for high-frequency trading simulations using FinRL with Q-Learning strategies.
End-to-End MLOps Pipeline
Automated model retraining and deployment with CI/CD on AWS, including validation checks and monitoring.
Knowledge-Graph Enhanced RAG System
Improved LLM context retrieval with structured knowledge extraction using Neo4j and LangChain.
Auto-Scaling Microservices on AWS
Resilient backend architecture with Kubernetes handling peak loads automatically - improving response time by 35%.
RethinkSoft Cloud – AI Agent Platform
Browser-based AI agent SaaS with onboarding, Chrome extension, workflow templates, task history, dashboards, and usage-based pricing. Defined product metrics for activation, workflow execution, task success, retention, and monetization readiness.
RethinkSoft Cloud – AI Agent Platform
Browser-based AI agent SaaS with onboarding, Chrome extension, workflow templates, task history, dashboards, and usage-based pricing. Defined product metrics for activation, workflow execution, task success, retention, and monetization readiness.
Technical Profile
High-Agency EngineerMy approach combines the rigor of traditional software engineering with the flexibility of new AI architectures.
- ›Microservices Architecture: Designing distributed systems with high availability.
- ›Data Engineering: Complex ETL pipelines with 40% performance optimization.
- ›AI Mentorship: Over 90 students mentored in ML and data analytics.
- ›Founding Engineer: Direct contribution to million-dollar acquisitions (Orderhive -> Cin7).
Sharing
Program Head
Startup competition orchestration and technical mentorship.
Coming SoonEducation & Mentorship
Data Science & MLActive mentorship of students and professionals in the AI and data analytics field.
Education
Master of Science in Data Science & Analytics (Machine Learning)
GPA 3.97/4.00 · Utica, NY. Relevant Coursework: Applied Machine Learning, Deep Learning, NLP, Big Data Analytics, Experimental Design, Data Visualization.
Bachelor of Engineering in Computer Engineering
Graduated June 2013 · Gujarat, India. Relevant Coursework: Data Structures & Algorithms, Database Management, Web Development, Java, C, C++.