Mukul Shingwani

AI Researcher

Dubai, United Arab Emirates5 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Built scalable AI solutions impacting millions.
Patent holder in applied AI technology.
Graduated top of class at IIT Jodhpur.

Stackforce AI infers this person is a Data Scientist specializing in E-commerce and AI-driven solutions.

Contact

Skills

Core Skills

Generative AiMachine LearningData Analysis

Other Skills

Python (Programming Language)Large Language Models (LLM)Prompt EngineeringSQLAnalyticsDeep LearningComputer VisionStrategic Planning for GrowthComputer ScienceSoftware DevelopmentTradingStatisticsMathematicsProgrammingArtificial Intelligence (AI)

About

I am a Data Scientist at noon, building DS and GenAI powered solutions that power millions of shopping journeys across the Middle East. My work spans LLM powered chatbots, recommender systems, review intelligence, and customer personalization, with a strong focus on scalability, cost efficiency, and measurable business impact. My passion lies in transforming business challenges into scalable AI products that deliver both customer delight and tangible commercial value. I also hold a patent in applied AI (Deep Learning + Spectroscopy for textile material detection) and graduated #1 in my department at IIT Jodhpur.

Experience

5 yrs 5 mos

Total Experience

1 yr 4 mos

Average Tenure

2 yrs 1 mo

Current Experience

Noon

4 roles

Senior Data Scientist

Jun 2026 – Present · 0 mo

Data Scientist II

Jan 2026 – Jun 2026 · 5 mos

1. Building NORA, a platform wide chatbot enabling conversational commerce.
2. Developed a Seal Detection System for LMS and AFS team for checking the product for any signs of tampering.

Data Scientist I

Promoted

Mar 2025 – Jan 2026 · 10 mos

Spearheaded noon’s first inhouse chatbot for product pages; designed a scalable and cost effective pipeline integrating SKU level FAQs with LLMs laying a foundation for a platform-wide conversational commerce system.
Implemented inhouse Frequently Bought Together (FBT) engine, replacing Google API and saving $100K+ annually. A/B results: 81% uplift in impressions, 52% uplift in PDP views, 39% uplift in add-to-cart and 11% improvement in ITO. Live for 100% of users on noon Core and Supermall.
Built automated GenAI review moderation system, improving approval rate +30%, SKU coverage +22%, ,cutting manual review time by 100x and annual cost saving of more than $0.5Mn+.
Designed an interface for category-level search relevancy: identified keyword gaps, flagged assortment/ranking issues, and generated actionable brand/SKU expansion lists → drove clear GMV opportunity insights for managers.
Deployed review summarization with LLMs → reduced individual review impressions (–7%), return rates (–2%), and uplifted NMV by +1%, indicating improved decision making with less cognitive load. Live for 100% of users.
Developed hybrid recommendation engine (ALS + embeddings) for personalizing recommendations at noon Food, improving product discovery, relevance and user experience for noon Food users.

Generative AIPython (Programming Language)Large Language Models (LLM)Prompt EngineeringSQLAnalytics+1

Associate Data Scientist

May 2024 – Mar 2025 · 10 mos

Designed and deployed recommendation carousels (“More from Brands” & “Customers Also Viewed”), achieving 5.7% and 5.2% CTRs while saving costs by reducing dependency on Google APIs.
Engineered GenAI driven push notification system with personalized prompts, driving 3x engagement rate uplift (0.5% → 1.5%).
Built Order Again recommender engine leveraging behavioral & temporal signals → 12% increase in CTR on cart pages vs. legacy system.
Developed SQL-based experimentation pipelines for A/B testing, pre-post analytics, and burn estimation → accelerated real-time decision-making across business units.

Generative AIPrompt EngineeringPython (Programming Language)Large Language Models (LLM)SQLAnalytics+1

Career development cell, iit jodhpur

3 roles

Placement Representative

Jul 2023 – May 2024 · 10 mos · Jodhpur, Rajasthan, India

Internship Representative

Jun 2022 – Jul 2023 · 1 yr 1 mo · Jodhpur, Rajasthan, India

Support team

Jan 2022 – Jun 2022 · 5 mos · Jodhpur, Rajasthan, India

Oyo

Data Science Intern

May 2023 – Jul 2023 · 2 mos · Gurugram, Haryana, India · On-site

Implemented digital auditing codes to detect and recover lost revenue from potential fraud, optimizing queries for reducing server cost and improving efficiency along with data migration from AWS to Azure and code conversion from R to Python. Contributed to 7% of Oyo’s net realised revenue.
Developed an automatic speech recognition system using transformers, enabling automatic labeling of customer audio calls based on identified issues. Employed speech-to-text conversion and multilevel classification with zero-shot learning and optimizing performance via prompt engineering.

SQLPython (Programming Language)Machine LearningDeep LearningData AnalysisPrompt Engineering+2