Yogesh Patil

Software Engineer

Bengaluru, Karnataka, India5 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in scalable software solutions.
Proficient in AWS and microservices architecture.
Strong problem-solving skills with DSA expertise.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in scalable architectures and cloud technologies.

Contact

Skills

Core Skills

Machine LearningAiMicro-servicesAwsMicroservicesJavaReactjsJavascriptPython

Other Skills

AWS LambdaAd ReviewAmazon Web Services (AWS)Android DevelopmentApache KafkaAutomated SystemsCC++CDKCSSCascading Style Sheets (CSS)Design PatternsDialogflowDistributed SystemsDistributed-Services

About

Proficient in designing and developing robust software solutions with a strong emphasis on scalability and performance optimization. Skilled in a versatile tech stack including: Python, Java, JavaScript/TypeScript, ReactJS, Spring Boot, MySQL, AWS (Lambda, DynamoDB, SNS, SQS, GlueJob, IAM, API Gateway, ElastiCache, Kinesis/Firehose). Problem-solving abilities combined with Data Structures & Algorithms (DSA) skills enable me to tackle challenges effectively.

Experience

5 yrs

Total Experience

1 yr 3 mos

Average Tenure

1 yr 5 mos

Current Experience

Software Engineer

Jan 2025 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · On-site

Ad Review, Trust and Transparency
Designing and implementing large-scale automated systems leveraging ML/AI for ad review and approval, ensuring compliance with LinkedIn’s quality standards.
Developing AI-driven fraud, spam, and policy violation detection mechanisms along with generative AI-powered defenses, significantly enhancing platform trust and reliability.
If you’re not seeing spam or fraudulent ads on LinkedIn, we’re the reason behind it. 🔒

Machine LearningAIAd ReviewAutomated Systems

Amazon

Software Development Engineer

Sep 2022 – Nov 2024 · 2 yrs 2 mos · Hyderabad, Telangana, India

Building a TimeHub product to enhance employee experience.
Designed and implemented multiple components for the Pay Extract and AtoZ Application with high scalability, which track billions of hours annually to ensure accurate employee compensation, providing a best-in-class experience to employees worldwide.
Using Micro-Services, Distributed-Services, and AWS technologies.

Micro-ServicesDistributed-ServicesAWSReactJSJavaPython+6

Bharatpe

Software Development Engineer

Oct 2021 – Sep 2022 · 11 mos · Delhi, India

Developed Version 2 of the onboarding flow for D2R customers, automating user experience and reducing required information.
Implemented an event-based reminder notification system, significantly improving onboarding completion rates.
Enhanced the 12% Club App by creating deposit and withdraw APIs, while optimizing system performance and fixing bugs.
Collaborated with the DevOps team to transition to a microservice architecture, ensuring seamless integration across systems.

JavaMicroservicesMongoDBS3MySQLDesign Patterns+2