Aviral Kumar Srivastava
I’m Aviral Kumar Srivastava, a software engineer with 4+ years of experience building scalable web applications, distributed backend services, and cloud-native systems.
About
I’m Aviral Kumar Srivastava, a software engineer with 4+ years of experience building scalable web applications, distributed backend services, and cloud-native systems. I’ve worked across Java, Python, TypeScript/JavaScript, React, and modern backend architectures like microservices, REST/gRPC, and messaging systems such as Kafka and RabbitMQ.
I also enjoy building AI-powered products—especially LLM integrations, RAG-based retrieval, semantic search, and model/latency optimization—alongside strong data engineering practices. From improving database and caching performance to delivering production-grade pipelines with CI/CD and containerization, I focus on making systems faster, reliable, and measurable.
- 3 years' experience
- Joined October 2026
Industry experience
- Software & Internet
Work experience· 4 roles
Architected and scaled distributed data and AI platform services using Python, PySpark, FastAPI, and Delta Lake; implemented low-latency LLM serving and model monitoring pipelines with MLflow and LangChain; optimized PostgreSQL/Delta Lake indexing and Redis caching to reduce multi-tenant query times and improve throughput under concurrent workloads.
Developed the HL7 Snap Pack using Java 11 and Snap Development Kit, including parser/formatter logic for 15+ HL7 message structures and multiple encoding formats; implemented schema validation and fault-tolerant error views with 40+ JUnit tests; optimized multi-module Maven builds and CI pipelines to reduce recurring build failures and improve reliability across distributed environments.
Built and maintained Java backend services and AngularJS dashboards for ICOPs, a global sales compensation platform supporting payout and payroll workflows; optimized PostgreSQL queries and backend services to reduce dashboard load times; integrated 10+ Informatica ETL data feeds into backend APIs for ingestion and validation of thousands of sales-performance and compensation records across multiple sources.
Education
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