Rahul Trivedi
AI Engineer at Reliance Retail.
- Role
- Artificial Intelligence Engineer at Reliance Retail
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Rahul Trivedi
As an Applied Machine Learning Engineer and Data Scientist, I have hands-on experience building production-grade ML and NLP systems that drive measurable business impact. Over the past 4+ years, I’ve worked closely with engineering, product, and business teams at Tata Consultancy Services and Reliance Retail, delivering solutions ranging from customer sentiment analytics and churn insights to large-scale demand forecasting systems deployed on cloud infrastructure.My areas of interest include developing machine learning models, designing ML systems for end-to-end data flow, and performing analytics to draw valuable and quantifiable insights from data. I am particularly enthusiastic about leveraging data to drive impactful insights and solutions. I thrive in dynamic environments and am constantly seeking opportunities to apply my knowledge and skills to solve complex problems.I am excited about the future of AI and data science and am eager to contribute to cutting-edge projects and collaborate with like-minded professionals.
Experience
Artificial Intelligence Engineer
Apr 2025 — Present · Mumbai, IN
Built and deployed a production-scale, multi-horizon demand forecasting system on GCP to support weekly, monthly, and yearly planning across Fashion, Lifestyle, and Grocery categories. Applied statistical (Theta, ARIMA) and deep learning (Temporal Fusion Transformer) models with ensemble strategies to handle seasonality and demand volatility. Improved weekly forecast accuracy by ~85%, enabling automated replenishment, reduced stock-outs, and faster planning decisions. Productionized the pipeline with CI/CD, automated retraining, model versioning, and data-drift monitoring for scalable, reliable forecasting.
Education
Jio Institute
Postgraduate Degree, Artificial Intelligence
Dwarkadas J. Sanghvi College of Engineering
Bachelor of Engineering - BE, Computer Science
2017 — 2021
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