I am a dedicated software engineer specializing in generative AI and cloud-based microservice architecture. I have extensive experience designing and deploying AI-powered systems that optimize supply chain logistics and enhance inventory management. My work involves leveraging advanced AI technologies such as large language models, prompt engineering, and multi-agent workflows to deliver intelligent, scalable solutions. Throughout my career, I have contributed to both backend and frontend development using modern frameworks like FastAPI, Django, and ReactJS. I am passionate about creating robust, high-performance applications with a focus on data privacy, AI ethics, and user experience. I enjoy collaborating across teams to implement innovative AI guardrails and continuous integration pipelines that improve development efficiency and product quality.

Rachna Pandya

I am a dedicated software engineer specializing in generative AI and cloud-based microservice architecture. I have extensive experience designing and deploying AI-powered systems that optimize supply chain logistics and enhance inventory management. My work involves leveraging advanced AI technologies such as large language models, prompt engineering, and multi-agent workflows to deliver intelligent, scalable solutions. Throughout my career, I have contributed to both backend and frontend development using modern frameworks like FastAPI, Django, and ReactJS. I am passionate about creating robust, high-performance applications with a focus on data privacy, AI ethics, and user experience. I enjoy collaborating across teams to implement innovative AI guardrails and continuous integration pipelines that improve development efficiency and product quality.

Available to hire

I am a dedicated software engineer specializing in generative AI and cloud-based microservice architecture. I have extensive experience designing and deploying AI-powered systems that optimize supply chain logistics and enhance inventory management. My work involves leveraging advanced AI technologies such as large language models, prompt engineering, and multi-agent workflows to deliver intelligent, scalable solutions.

Throughout my career, I have contributed to both backend and frontend development using modern frameworks like FastAPI, Django, and ReactJS. I am passionate about creating robust, high-performance applications with a focus on data privacy, AI ethics, and user experience. I enjoy collaborating across teams to implement innovative AI guardrails and continuous integration pipelines that improve development efficiency and product quality.

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Experience Level

Expert
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Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Software Engineer (GenAI) at Lululemon, USA
March 1, 2023 - Present
Led the development of microservices for a GenAI pipeline using Python, FastAPI, and Streamlit to support logistics and data analytics, achieving system response times under 100ms. Developed a Decision Recommendation System with Retrieval-Augmented Generation (RAG) using VectorDB (FAISS), Langchain, and Hugging Face embeddings to provide real-time inventory insights, enhancing supply chain efficiency. Integrated logs with Splunk and monitoring with Grafana and InfluxDB for enhanced observability. Improved application performance by implementing React's lazy loading and Suspense. Implemented AI guardrails for data privacy and model compliance, utilized prompt engineering to optimize chatbot responses, and enhanced CI/CD pipelines by creating a GenAI code evaluation workflow.
Software Engineer at Mythics Design, India
July 31, 2021 - July 11, 2025
Led system design and development of ads services with RESTful APIs using FastAPI, leveraging asynchronous capabilities and type hinting. Converted existing microservices deployment to Docker and EKS to improve scalability. Developed custom Django management commands for automation and streamlined workflows. Built an e-commerce website with React, increasing conversion rates and page load speeds by 30%, enhancing customer satisfaction. Improved UI performance through code optimization, lazy loading, and caching strategies, resulting in a 25% increase in user retention. Optimized Django app performance with efficient database queries and caching strategies.
Software Engineer (Gen AI) at Lululemon, USA
March 1, 2023 - Present
Led development of generative AI microservices for logistics using Python, FastAPI, and Streamlit, reducing response times to under 100ms with distributed low-latency inference architecture. Developed a decision recommendation system using Retrieval-Augmented Generation with FAISS, VectorDB, LangChain, and Hugging Face embeddings to provide real-time inventory insights enhancing supply chain efficiency. Integrated Crew AI for multi-agent workflows orchestrating autonomous collaboration in inventory management and predictive restocking. Implemented AI guardrails involving large language model content moderation and PII masking to ensure data privacy and compliance while preventing biased outputs. Optimized chatbot responses through advanced prompt engineering techniques like Chain-of-Thought and Few-Shot prompting, improving contextual accuracy and user satisfaction. Enhanced CI/CD pipelines with generative AI powered code evaluation including AI-assisted code reviews and automated anal
Software Engineer at Mythics Design, India
July 31, 2021 - August 20, 2025
Led system design and development of an ads service with RESTful APIs using FastAPI, leveraging asynchronous capabilities and type hinting. Developed custom Django management commands automating repetitive tasks and streamlining development workflows. Redesigned and developed front-end e-commerce websites with ReactJS and Redux, improving conversion rates and boosting page load speeds by 30%, resulting in higher customer satisfaction. Optimized Django application performance by implementing caching strategies and efficient database queries. Implemented performance optimizations using React hooks and memoization, reducing unnecessary re-renders and improving application speed. Enhanced UI performance through code optimizations, lazy loading, and effective caching strategies leading to a 25% increase in user retention rates.

Education

Master of Science at SUNY, University at Buffalo
January 1, 2018 - December 31, 2019
Bachelor of Engineering at GTU, Marwadi University
January 1, 2014 - December 31, 2018
Master of Science in Engineering Science (IoT) at SUNY, University at Buffalo
January 11, 2030 - August 20, 2025
Bachelor of Engineering in Information Technology at GTU, Marwadi University
January 11, 2030 - August 20, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Retail, Transportation & Logistics, Consumer Goods, Education

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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