Piyush Agrawal

Software Engineer

Menlo Park, California, United States5 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led initiatives saving $220M at Goldman Sachs.
Architected systems improving lending precision across 30+ markets.
Specializing in Generative AI and Intelligent Retrieval Systems.

Stackforce AI infers this person is a Fintech and E-commerce Software Engineer with expertise in scalable systems and AI applications.

Contact

piyush.agrawal@goldmansachs.com +917054125477 LinkedIn

Skills

Core Skills

Distributed SystemsTechnical LeadershipSystems DesignMicroservices Architecture

Other Skills

AWS SageMakerAmazon RedshiftAmazon Web Services (AWS)Apache KafkaArtificial Intelligence (AI)Aspect-Oriented Programming (AOP)Coaching & MentoringContinuous Integration and Continuous Delivery (CI/CD)Critical ThinkingCross-team CollaborationDockerETLElasticSearchExtract, Transform, Load (ETL)Generative AI

About

I’m a Software Engineer and Systems Architect with over 5 years of experience building high-impact, scalable systems at Goldman Sachs and Amazon—now expanding my expertise into AI-powered applications. At Goldman Sachs Singapore, Led initiatives like liquidating security over-borrowing by $220M, enhancing lending recommendation accuracy across 30+ global markets and establishing reconciliation mechanisms validating 1.3M daily transactions. Earlier, at Amazon India, I designed real-time frameworks for managing Amazon Originals content, improving operational workflows and communication. Currently, I’m pursuing my Master’s in Information Systems and Artificial Intelligence at Johns Hopkins University, specializing in in Generative AI, Intelligent Retrieval Systems, and Agentic AI frameworks. Recent Focus: Machine Learning · Deep Learning · Generative AI (LLMs, RAG, ReAct, Agentic AI) · Computer Vision Proven Skills: Cloud Systems (AWS, Kubernetes) · Apache Kafka & Kafka Streams · Distributed Systems · Serverless Architectures · Java · Python

Experience

5 yrs 6 mos

Total Experience

2 yrs 5 mos

Average Tenure

8 mos

Current Experience

Goldman sachs

2 roles

Senior Software Engineer

Promoted

Jan 2023 – Aug 2024 · 1 yr 7 mos · Singapore · On-site

Promoted for reducing security over-borrowing by $220M Notional Value; recognized at Asia-wide Townhall for significant financial impact
Architected a counterparty rating system using Kafka Streams, improving lending recommendation precision across 30+ markets
Led a risk remediation program, uplift of 10,000 Scheduled job workflows across 70 products, enhancing operational resilience
Facilitated recruitment by identifying top talent, mentored junior engineers, provided technical and career guidance

Kafka StreamsDistributed SystemsRisk RemediationTechnical Leadership

Software Engineer

Sep 2021 – Dec 2022 · 1 yr 3 mos · Singapore · On-site

Transitioned record-keeping systems from batch to real-time event-driven architecture with Apache Kafka and Kubernetes
Designed and deployed a stateful Kubernetes service exposing Kafka application state via interactive queries for external system integration
Built a Reconciliation and Reporting System, for certifying correctness of 1.3M+ daily transactions for regulatory compliance

Apache KafkaKubernetesReal-time ArchitectureDistributed SystemsSystems Design

Amazon

2 roles

Software Engineer

Aug 2019 – Aug 2021 · 2 yrs · Bengaluru Area, India · On-site

Developed intelligent framework for collating information and performing operations for efficacy in managing postproduction unreleased Amazon Originals content
Outlined architecture to deliver Real-Time Notification to clients about asynchronous updates on critical business entities
Implemented workflow for assessing quality and reporting identifiable technical & linguistic issues in subtitles in Prime Video Platform
Optimized GraphQL schema design to eliminate under- and over-fetching, meeting client-side data requirements
Composed core business functionality with RESTful APIs for governing lifecycle of Amazon Originals content up to launch
Established an ETL pipeline for analytics on key business KPIs and created Grafana dashboards sourcing data from OLAP and OLTP data stores

GraphQLREST APIsETLReal-Time NotificationSystems DesignMicroservices Architecture

Software Engineer Intern

Jun 2018 – Jul 2018 · 1 mo · Chennai Area, India · On-site

Formulated Structured Graph to represent crucial functions in business flow to make system easily understandable and provide vital details in orderly manner
Expedited inter team communication and outpaced previous technique of locating errors & exceptions with integrating internal tool 'Jarvis'
Received Pre-Placement offer from Amazon for timely delivery and performance during internship