Headline

Software developer @Amdocs | Python, Java | Distributed Systems & GenAI

About

I am a Backend Software Engineer specializing in scalable distributed systems, event-driven pipelines, and secure Generative AI integrations. I focus on modernizing mission-critical architecture and building fault-tolerant infrastructure that processes high-volume data at scale. My expertise spans Python, Java, and C++, with a strong emphasis on system reliability, low-latency performance, and zero data loss. From decoupling heavy compute workloads to building custom multi-threaded data stores from scratch, I enjoy tackling complex backend challenges and optimizing systems from the ground up.

Location

Pune City

AI stack

claude code

claude

cursor

gemini

langchain

ollama

Work experience

Software Developer at Amdocs, Jul 2023 - Present · 3 yrs 1 mo, Pune District, Maharashtra, India, Engineered high-throughput backend systems and privacy-centric AI pipelines, directly improving production reliability and scaling enterprise data flows • Engineered a privacy-centric AI interface using Local LLMs (Ollama) to securely query sensitive billing data without external API exposure. Developed a multi-stage RAG pipeline with hybrid search, ensuring 100% financial data consistency and reducing LLM hallucinations by 65%. • Developed a multi-module Java platform to modernize a legacy C++ flow, implementing a high-concurrency engine for billing millions of subscribers . Engineered a scalable database architecture for Oracle DB ingestion, transitioning the system away from fragile file-based processing. • Owned the production deployment and maintenance of Kafka, database, and microservice pods on central servers using Podman. Transitioned the build process from manual Docker image imports to a fully automated GitLab CI/CD pipeline, enabling seamless builds and updates on every commit. • Engineered a resilient event-driven architecture, optimizing consumer group scaling and backpressure to maintain 99.99% uptime and reduce end-to-end processing latency by 70% during peak traffic. Ensured strict fault tolerance for downstream ML services through rigorous DLQ monitoring and automated recovery.

Education

Bachelor of Technology - BTech, Computer Science, Thapar Institute of Engineering & Technology

Public links

leetcode: https://leetcode.com/adishwarchandok