Harsh Gupta

Software Engineer

Noida, Uttar Pradesh, India4 yrs experience

AI EnabledAI ML Practitioner

Key Highlights

Improved transaction success rates for millions of users.
Revamped services reducing development time by 50%.
Automated processes cutting customer wait times significantly.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in scalable solutions and microservices architecture.

Contact

hg.harsh28@gmail.com LinkedIn

Skills

Core Skills

JavaSpring BootKafkaElasticsearchDatabase OptimizationAmazon S3

Other Skills

API DevelopmentAdvance javaAlertsAlgorithmsAmazon Web Services (AWS)Apache KafkaArtificial Intelligence (AI)Azure DevOpsB2B Payment AutomationBack-End Web DevelopmentC (Programming Language)C++CassandraCommunicationComputer Science

About

🚀 Passionate Software Engineer | Focused on Scalable Solutions I’m a Software Engineer with 3+ years of experience in building scalable backend systems. I hold a B.Tech in Computer Science, with a CGPA of 8.6 🌟 What I Bring to the Table • Strong expertise in Java, Spring Boot, Node.js, TypeScript • Proficient in microservices, Low-Level Design (LLD), system optimization, and building REST APIs • Hands-on experience with PostgreSQL, MySQL, Redis, and Kafka for building reliable systems • Focused on improving system performance, ensuring high availability, and tackling complex technical challenges 💼 Professional Journey Currently at Paytm, I work with Mobile Recharges and Rent Payment teams, focusing on enhancing recharge systems and optimizing production workflows for millions of users. 🌱 Always Growing I’m passionate about continuous learning and problem-solving. I thrive in dynamic environments and am committed to creating impactful, scalable solutions. Let’s connect and explore ! Resume: https://bit.ly/harshgupta28

Experience

4 yrs

Total Experience

2 yrs

Average Tenure

2 yrs 1 mo

Current Experience

Paytm

Software Engineer

May 2024 – Present · 2 yrs 1 mo · Noida, Uttar Pradesh, India · On-site

◦ Recharge Systems: Improved and scaled Paytm’s recharge systems (Distributed Microservices architecture) serving 10M+ DAUs for mobile, electricity, and rent to boost transaction success rates and user experience.
◦ Rent Payment Flow: Designed the end-to-end rent new payment flow, including a landlord-tenant consent mechanism, increasing revenue by 5-6%.
◦ Operator Downtime Detection: Developed an operator downtime detection system using the Circuit Breaker design pattern, reducing failed transactions by 12%, resulting in improved revenue retention and fewer support escalations.
◦ PAN Verification: Migrated the PAN verification module to a new service by implementing a progressive traffic diversion strategy (canary release/blue-green style), achieving a P95 latency reduction from 7s to 3s while ensuring zero customer impact.
◦ MNP Revamp: Revamped Mobile Number Portability (MNP) service in Java and SpringBoot, leveraging AI tools, OOP, and SOLID principles, reducing development time by 50% and improving maintainability.
◦ Engineering Standards: Contributed through design documentation (HLD/LLD), unit testing, peer code reviews, CI/CD involvement, mentoring, and supporting release cycles in Agile.

JavaSpring BootMicroservicesREST APIsPostgreSQLMySQL+2

Caw studios

2 roles

Software Engineer

Sep 2022 – May 2024 · 1 yr 8 mos · Hyderabad, Telangana, India

◦ Fintech Product Development: Owned the invoicing and approval modules for fintech product Cashflo, focusing on B2B payment automation.
◦ Queue-based Approval System: Created a queue-based distributed approval system using Kafka from scratch, managing USD 180K+ in daily payments.
◦ Report System Optimization: Decoupled synchronous reporting workflows into asynchronous processing, rewrote inefficient database queries, and added caching, achieving a 66% reduction in response time (9 s to 3 s) and improving system throughput
◦ Bank Verification: Automated bank account verification by integrating third-party services, reducing customer wait times from 4 hours to 5 minutes
◦ Data Pipeline & Processing: Built an automated Amazon S3 to Elasticsearch data pipeline with delta processing, eliminating manual work and reducing processing time by 20%

KafkaAmazon S3ElasticsearchDatabase OptimizationB2B Payment Automation