Kashish Goyal

Software Engineer

Bengaluru, Karnataka, India2 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Developed AI-driven solutions enhancing customer engagement.
Improved conversion rates significantly for multiple products.
Automated workflows at Amazon, boosting efficiency by 68%.

Stackforce AI infers this person is a Backend-focused Software Developer with expertise in AI and Cloud Computing for E-commerce.

Contact

Skills

Core Skills

JavaBackendAiMachine LearningCloud ComputingPython

Other Skills

AWS CDKBack-End Web DevelopmentC++Customer CommunicationDropwizardElasticsearchGPT-4JavaScriptMeeting SchedulingMicroservice architecturePylon scriptsPython (Programming Language)SGMLSoftware DevelopmentTypeScript

About

As a highly motivated and innovative software developer, I bring a strong foundation in AI, machine learning, and data analysis. My experience spans developing cutting-edge solutions that enhance customer engagement and improve business outcomes. Notably, I have developed AI-driven solutions that increased customer engagement by 1.3% for nearly 50 lakh products and improved conversion rates by 2.8% for 13 lakh products. With expertise in technologies like Java, TypeScript, AWS, and Google Guice, I excel in designing scalable and efficient systems. My work at Amazon involved automating workflows using AWS CDK and pipelines, improving efficiency by 68%. Additionally, I have optimized ERP portal performance by 17% through strategic API call reduction at Indiamart. I am passionate about leveraging technology to drive strategic business decisions and am eager to contribute to innovative projects that align with my skills and interests. I am excited to collaborate with like-minded professionals and continue growing in the field of software development.

Experience

Flipkart

Software Engineer

Jan 2024 – Present · 2 yrs 2 mos · Bengaluru, Karnataka, India · Hybrid

Generative Concept Landing Pages: Spearheaded the development of personalized landing pages using generative AI to significantly enhance customer engagement and interaction. This involved leveraging cutting-edge AI technologies to create dynamic and personalized shopping experiences.
Internal Stock Image Generation Service: Designed and implemented an internal service utilizing prompt engineering, GPT-4, and Pylon scripts to generate high-quality stock images for nearly 50 lakh products. This service streamlined visual content creation, reducing reliance on traditional photo shoots and enhancing product merchandising capabilities, resulting in a 1.3% increase in engagement.
Common Content Provider Service: Developed a robust common content provider service that integrated multiple Flipkart databases using Java, microservice architecture, and Elasticsearch. This integration ensured seamless data access and management across various platforms, enhancing overall system efficiency.
AI Image Generation and Quality Control: Played a pivotal role in developing an internal system for generating AI images for products using GPT-4. Additionally, worked on implementing an automated quality control (QC) flow for generated images to ensure consistency and quality. Successfully integrated this system with other Flipkart systems to elevate customer experience.
Review Generation and Summarization: Utilized machine learning models to generate reviews from images, summarizing product reviews and creating aspect-based reviews. Managed diverse use cases for different product categories and handled widget appearances on product pages, ensuring a cohesive and user-friendly interface. This impacted customer conversion by 2.8% for nearly 13 lakh products.

JavaBackendSoftware DevelopmentCloud ComputingDropwizard

Indiamart intermesh limited

Associate Software Engineer

Oct 2023 – Dec 2023 · 2 mos · Noida, Uttar Pradesh, India · Hybrid

Amazon

Software development Engineer Intern

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Developed and implemented code in Java, TypeScript, and SGML to support various projects and
functionalities within the AWS Cloud environment.Utilized CDK packages, pipelines, and CLI-based tools to
automate deployment and management processes, improving efficiency and reducing manual errors.
Demonstrated proficiency in Spring Beans, Google Guice, and Google Guava frameworks to enhance
application performance and maintainability.Designed and implemented a poller-based application that
utilized ECS tasks to listen to SQS queues and perform operations based on received messages.
Created and managed CLI-based scripts running on Fargate containers, orchestrating the launch of ECS tasks
and invoking step functions.Developed and integrated state machines into the workflow, enabling the execution
of desired tasks and returning outputs to the CLI interface for user interaction. Participated in Internal hackathon where developed a chatbot for amazon internal use, automated data feeding
into s3 bucket using python.