Pravesh Karn

Engineering Manager

Bengaluru, Karnataka, India11 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over a decade of experience in back-end development.
Expertise in AI-driven solutions for payment platforms.
Proven leadership in engineering management and team mentorship.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech solutions with a strong focus on AI and microservices architecture.

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Skills

Core Skills

Ai EngineeringPlatform EngineeringSoftware DevelopmentMicroservices Architecture

Other Skills

AI orchestrationAI-powered onboardingAPI developmentAlgorithmsAmazon Web Services (AWS)Android DevelopmentApache KafkaCC++CSSCascading Style Sheets (CSS)Code reviewsCore JavaCustom GPTsData Structures

About

An accomplished and seasoned Back-End Engineer with a rich background spanning over a decade in the dynamic field of system design and back-end development. Throughout my career, I have consistently demonstrated proficiency in crafting robust and scalable solutions, leveraging my expertise to optimize system performance and enhance overall efficiency. My journey has equipped me with a comprehensive skill set, encompassing the latest technologies and methodologies in the ever-evolving landscape of back-end development. I am passionate about architecting seamless, reliable systems that meet both current and future business needs Experience with: Java, Spring boot, React JS, SQL, Splunk, Amplitude, Teradata and Google Cloud and AWS https://github.com/karnpravesh

Experience

Razorpay

Engineering Manager

Jan 2025 – Present · 1 yr 2 mos · Bengaluru, Karnataka, India · Hybrid

Building AI powered onboarding and UPI payment platforms
At Razorpay, I’ve been leading platform initiatives across two critical domains: Merchant Onboarding and UPI Payments, driving innovation through AI-first engineering and scalable distributed systems.
Phase 1- Onboarding Platform:
Built AI-enabled onboarding platforms leveraging agentic AI approaches for next-generation automation and compliance.
Developed AI orchestration layers using LangGraph, GPT-4, and GPT-4o-mini to power adaptive and context-aware decisioning.
Designed and managed multi-component (MCP) server architectures ensuring modularity, resilience, and observability.
Led the Platform Engineering Team to deliver future-proof infrastructure built on Golang and Python for performance and reliability.
Phase 2 - UPI Payments:
Leading P0, high-scale services that power a significant share of India’s P2B UPI transactions.
Driving platform reliability, throughput optimisation, and distributed systems scaling for mission-critical payment flows.
Collaborating cross-functionally with banking partners, NPCI, infrastructure, and security teams to ensure regulatory and production excellence.
Delivered key 2025 initiatives in Agentic Payment Orchestration — featured at GFF 2025 (“Agentic Payment Razorpay”) & Interoperable Mandate payments. https://youtu.be/jsZGLHDEDZI?si=QFavbG18Xubvxi0R

AI-powered onboardingUPI payment platformsGolangPythonAI orchestrationmulti-component server architectures+2

Upstox

Lead Engineer

May 2024 – Oct 2024 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Revamped complete IPO to v2 which offers better insights enabling investors to take informative decision.
Responsible for technical scoping, design ( high level and low level), implementation, code reviews, deployments, monitoring, oncall support for 7 microservices ( variation of Kafka Daemon, API service and data aggregation platform )
Implemented a new workflow with an emphasis on code and application quality. Leveraging previous experience with asynchronous synchronization, I introduced pre-caching for data on the home page load. This ensured that the live data panels remained unaffected and continued to receive near real-time updates.
Lead agile transformation, scrum master role, mentor team members across multiple pods.

Technical scopingDesign (HLD and LLD)MicroservicesCode reviewsMonitoringOn-call support+1

Paypal

Staff Engineer

Oct 2021 – May 2024 · 2 yrs 7 mos · Bengaluru, Karnataka, India

At Paypal, my role encompasses full ownership of various microservices built on Spring Boot, Spring Daemon, and Spring Batch. Presently, I contribute to the Collection and Negative Balance team, where we focus on constructing recovery APIs, notification solutions, and a debt management framework that empowers the Paypal Negative Balance team to implement innovative AI solutions. The System that we have built is handling a daily traffic of 1,000,000 request per day and manages ~800,000 debts.
My responsibilities include leading solution discovery, overseeing end-to-end design and development of frameworks, and reviewing pull requests to ensure compliance with industry standards. Additionally, I serve as a subject matter expert (SME) owner for different microservice-based components. The Non-Functional Requirements (NFRs) in this context involve spearheading the development of the next generation and incorporating cutting-edge technologies prevalent in the industry.

MicroservicesSpring BootSpring DaemonSpring BatchAPI developmentDebt management framework+1

Envestnet | yodlee

3 roles

Member Of Technical Staff

Feb 2019 – Sep 2021 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Understand project scope, identity tools and technology to develop fully functional modules that meet all the specifications and have successfully passed all tests including unit, integration, regression and system tests.
Estimate level of effort required to design and develop code that meets acceptance criteria.
Work closely with Business and Product teams on the issues faced by end users to figure out a solution for their ease of use.
Good understanding & Hand on experience on data structures, algorithms, designing functionalities.
Working as Technical Lead for a group of 4 Senior Developers and guiding them in creating tool functionality, identifying, preparing and conducting unit test cases and fixing defects based on results and feedbacks along with knowledge management.
Ensuring coding standards and best practices are followed in all the deliverables.
Prepare the LLD/ detailed design documents based on HLD and briefing from product team.
Designed and developed an internal tracing tool for easy identifications of issues, auto fix and timely alerts.
Designed and developed a Hadoop based data system to have an effective drilled down reports for Business & Product teams.
Implementation of a Retry and regenerate MFA authentication codes in our primary product offering solutions to all clients with a heavy gain in user experience.

Project scope understandingUnit testingIntegration testingData structuresAlgorithmsHadoop+1

Senior Software Engineer

Promoted

Feb 2018 – Feb 2019 · 1 yr · Bengaluru, Karnataka, India

Leading a team of 10 java developers in guiding them to build an effective aggregation modules.
Design, Developed and deployed multiple monitoring and analytics tools using Java, spring, react, mongo and SQL for transactional data.
Creation of PLSQL and Splunk query/dashboards for optimised results and views.

JavaSpringReactMongoDBSQLMonitoring tools+1

Software Engineer

Oct 2015 – Feb 2018 · 2 yrs 4 mos · Bengaluru, Karnataka, India

Creating validation logics for data enrichment and reconciliations.
Implementations of the logics as a part of validation modules using Java.
Creations and Implementation of various API’s for data extraction and response analysis.
Developed centralized datamarts to identify SMBs and Business Banking institutions for high transactional volumes
Creating data aggregation modules using Java, selenium for different Financial Institutions.
Optimizing existing aggregation modules with respect to latency and memory aspects

JavaAPI developmentData aggregationSeleniumSoftware Development