Ridhima Aggarwal

Software Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in integrating LLMs into production flows.
Proven track record in improving system performance.
Strong background in building scalable microservices.

Stackforce AI infers this person is a Fintech expert with a strong focus on scalable microservices and real-time data processing.

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Skills

Core Skills

Large Language Models (llm)MicroservicesDatabase ManagementSystem AnalysisMonitoringData Pipeline Management

Other Skills

Ab InitioAgile MethodologiesAlgorithmsApache KafkaApplied AIBackend DevelopmentC (Programming Language)C++Data StructuresDistributed SystemsDockerGPT-4GitGoGrafana

About

Senior software engineer with 6 years of experience in working across distributed architectures, real-time data pipelines, and containerised microservices. Lately, I’ve been integrating LLMs like GPT-4 into production flows, designing AI-native systems that blend orchestration, infra, and intelligence.

Experience

Razorpay

2 roles

Senior Software Development Engineer

Promoted

Apr 2023 – Present · 2 yrs 11 mos · Bengaluru, Karnataka, India · Hybrid

Built an AI-powered onboarding system using GPT-4 with text/voice input, improving signup conversion by 20%; showcased at Razorpay’s internal tech conference.
Rolled out modular, config-driven onboarding flows, enabling expansion to 3 countries in an year.
Delivered a zero-downtime DB migration, improving query performance by 35% on critical production services.
Designed a centralised audit framework adopted by 4+ micro-services for compliance and traceability.

GoLarge Language Models (LLM)Distributed SystemsGPT-4Apache KafkaMicroservices+14

Software Development Engineer

Dec 2021 – Jun 2023 · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

Launched auto-activation flows, cutting onboarding time by over 35% and reducing ops tickets.
Decomposed legacy systems via usage-based analysis using Prometheus/Grafana dashboards.
Implemented Z-score-based alerting and built Grafana dashboards, cutting false positives by 70%.
Fixed Kafka consumer lag in CDC pipelines, reducing incident frequency by 60%

GoApache KafkaPrometheus.ioGrafanaMicroservices

Hsbc

Software Engineer

Jul 2019 – Dec 2021 · 2 yrs 5 mos · Pune, Maharashtra · On-site

Built a Spring Boot microservice as part of a large-scale web platform for asset distribution, automating manual workflows using MuleSoft, Ab Initio, and React.
Optimized backend to support higher transaction volume and scalability.
Managed release cycles across environments for a global product line, ensuring smooth rollouts.
Mentored 4+ new developers, driving faster ramp-up and delivery.

Spring BootMuleSoftAb InitioReactMicroservices