Abhay Yadav

Backend Engineer

Bengaluru, Karnataka, India3 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

Designed high-reliability microservices for millions of customers.
Built innovative AI tools enhancing developer productivity.
Achieved significant performance optimizations in financial transactions.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and AI Infrastructure.

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Skills

Core Skills

Backend EngineeringMicroservicesAi InfrastructureApi Design

Other Skills

GolangAerospikegRPCREST APIsConcurrencyAPI TestingMonitoringPythonpgvectorData IngestionAPI MonitoringSwaggerSoftware ReviewsCertified Software Quality AnalystReal-time Data Acquisition

About

I’m a Backend Engineer with experience building high-reliability, event-driven microservices at scale. Currently at HDFC Bank (Fund Transfer Team), I design and maintain Golang services powering NEFT, IMPS, RTGS, and ECMS flows for millions of customers — optimizing performance with Aerospike caching, distributed systems principles, and strong API design. Outside of work, I’m passionate about developer tools and distributed systems. I’ve built: • Recallr – a Retrieval-Augmented Generation (RAG) system in Go integrating pgvector, embeddings (Ollama, Gemma), and a clean ingestion & retrieval pipeline. • DBXp – a terminal-based multi-database explorer with live SQL preview, Docker auto-detection, and intelligent query validation. My skillset spans Golang, gRPC/REST APIs, PostgreSQL, Redis, Aerospike, Kubernetes, Docker, and CI/CD pipelines, with strong exposure to AI infra (LLMs, vector search). I thrive in environments where I can combine system design, backend engineering, and developer experience tooling to build products that scale. 🚀 Currently exploring opportunities in Backend Engineering, Distributed Systems, and Platform/Infra Engineering, with a strong interest in AI/ML infra.

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

3 yrs

Current Experience

Hdfc bank

Back End Developer

Jun 2023 – Present · 3 yrs

Designed and delivered event-driven Golang microservices (NEFT, IMPS, RTGS, ECMS, Foreign Outward Remittance) leveraging goroutines, channels, and mutex-based concurrency for high-throughput, thread-safe transaction processing; integrated Aerospike caching to offload hot DB queries and reduce backend load by 45%. Architected 15+ MCP servers/tools for fund transfer services as part of an LLM-powered payments initiative, translating product requirements into modular, extensible low-level designs enabling natural-language payment commands (e.g., “Pay 5,000 to Rajesh”). Built a RAG-based internal knowledge assistant integrated with Confluence APIs using Python + pgvector, applying separation-of-concerns design (ingestion pipeline, embedding layer, retrieval service) to enable natural-language documentation queries and improve developer productivity. Developed an internal monitoring portal tracking 30+ OBP APIs, 25+ Common Service APIs, and 400+ AppGen parameters with built-in Swagger-style API testing, enabling faster root-cause analysis and significantly reducing downtime resolution time. Implemented Beneficiary Transfer Limit and a caching strategy for available transfer limits using Aerospike, enforcing dynamic per-user risk controls and reducing API response time by 30% during peak transaction hours; improved unit test coverage to >95% for Beneficiary and Fund Transfer services, reducing regression risk across critical transaction flows. Worked on secure lock feature validation for money transfer services, ensuring robust safeguards against unauthorized transactions and improving overall transaction security compliance. Contributed to the backend of the Early Access Mobile App, supporting its growth to 500K+ installs, a Top 10 Finance App Store ranking, and 99.87% of all May transactions processed through the app.

GolangAerospikeMicroservicesgRPCREST APIsConcurrency+3