Rahul Rawat

Software Engineer

Bengaluru, Karnataka, India0 mo experience

AI Enabled

Key Highlights

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

Amazon Web Services (aws)Scalability

AIAgentic AIAmazon BedrockGenerative AINetworking

2 roles

Jul 2024 – Present · 1 yr 8 mos

Developed an AI-powered Agentic website builder leveraging Bedrock flows, introducing intelligent automation with widget customization, auto-catalog selection, and dynamic color customization, empowering users to design personalized websites effortlessly.
Designed and implemented the Reviews & Ratings flow, setting up a dedicated microservice to handle all networking and scalability needs.
Contributed across Shipping, Offers, and Analytics, improving delivery visibility, enabling personalized promotions, and providing insights that enhanced the overall shopping journey.

Agentic AIGenerative AIAmazon Web Services (AWS)Amazon BedrockAINetworking+1

May 2023 – Jun 2023 · 1 mo · Bengaluru, Karnataka, India · On-site

Designed and integrated AI-powered address validation into the SmartBiz app using Amazon Internal tools to elevate delivery accuracy.
Designed a UI/UX for address validation with error warnings, integrating Cloudwatch RUM to measure feature impact and user behavior.
Devised a comprehensive system to alert sellers about potentially suspicious users, utilizing their previous user interactions as a basis.
Created a robust and secure customer authentication layer to authenticate various microservice calls, encapsulating it within a package.

Jun 2022 – Jul 2022 · 1 mo · Mumbai Metropolitan Region · On-site

Performed Demand Forecasting and Time-series Modelling for Havi Logistics, an American Multinational Logistics Company in collaboration with O9 Solutions, for analysis of the improvement of Supply Chain and Logistics.
Developed Time-series modeling system to choose WAPE metric-based efficient algorithm between Statistical Models like ARIMA, SARIMA and ML/DL models like LSTM, CNN, GRU, LightGBM, Random Forest and ensemble models.
Achieved a WAPE error metric of less than 9% with Random Forest being the best performing algorithm.

May 2022 – Jun 2022 · 1 mo · Mumbai, Maharashtra, India · On-site

Formulated a Python-based framework to streamline the Transmission sector's impact assessment process and minimize manpower.
Developed a structured 5-stage methodology to effectively capture insights, variability, and distribution patterns in transmission sector.
Successfully achieved a 10% reduction in manpower via efficient data-driven automation for comprehensive workforce optimization.