ASanirudh singla
@anirudhsingla
Senior FullStack Developer specializing in distributed systems, GenAI, and high-scale backend architecture.
IndiaWhat I'm looking for
I am a Senior Backend/FullStack Engineer with 7+ years designing and delivering high-scale microservices and GenAI systems, with deep expertise in Java (Spring Boot), Node.js, and distributed system design.
I have architected production-grade RAG pipelines and fintech ledger systems, improving retrieval accuracy, reducing LLM token costs, and ensuring financial data integrity through ACID-compliant designs and idempotent APIs.
My contributions include optimizing Elasticsearch for complex analytical queries, building event-driven ingestion services with Kafka, and introducing testing standards that raised code coverage and reduced deployment failures.
I am passionate about data consistency, query optimization, semantic search, and mentoring teams to build resilient, observable, and cost-efficient systems.
Experience
Work history, roles, and key accomplishments
GLArchitected a hybrid RAG search pipeline combining vector search and Elasticsearch with Reciprocal Rank Fusion, improving retrieval accuracy by 40% and reducing complex query latency from 20s to 5s; introduced testing standards raising code coverage to 80%.
Software Engineer
GoGroup
Dec 2021 - Dec 2023 (2 years)
Designed a double-entry transactional ledger and idempotent payment APIs ensuring 100% financial data integrity; modernized search with Elasticsearch, increasing search conversion by 25% and reduced support resolution time by 50%.
Software Engineer
Crownit
Jul 2020 - Nov 2021 (1 year 4 months)
Developed a scalable survey platform supporting high concurrent users, integrated Twilio for global messaging with retries/fallbacks, and introduced Jest-based testing to reduce regressions.
Built Java backend services and automated configuration deployments while optimizing Oracle SQL queries for telecom reporting to improve report generation speed.
Education
Degrees, certifications, and relevant coursework
Punjabi University
Bachelor of Technology, Computer Science
2014 - 2018
Grade: 7.8/10
B.Tech in Computer Science with focus on data structures, algorithms, DBMS, and operating systems; graduated with a CGPA of 7.8/10.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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