zulfiqar ali ahmed

Architected and shipped a production GenAI/LLM application (LangGraph + RAG) integrated into internal enterprise workflows, cutting operations log query time from 60+ minutes to under 5 minutes. Designed and built quality REST APIs and third-party service integrations connecting Airties platforms with partner systems (AT&T, Deutsche Telekom, Proximus) serving 1M+ users.

Built Java/Spring Boot REST APIs with Hibernate/JPA data layer and deployed ML model serving infrastructure on AWS, improving application performance by 30% and reducing downstream processing time by 20%.

Built a Python natural-language-to-query engine that reduced turnaround from hours to under 5 minutes for 10+ stakeholders, and a Knowledge Graph AI system handling 500+ daily requests with ~60% less manual triage.

Built Java/Spring Boot REST APIs and microservices powering a deep-learning recommendation engine and text summarization/sentiment services, driving 15% engagement lift and cutting document review time by 30% at 92% precision.

Built a Java backend integrating an NLP classification model in a regulated environment with audit trails (recall +21%); engineered an OCR + LLM extraction pipeline achieving 90% accuracy across 1,000+ documents.

Architected AWS data pipelines (Apache Spark) and Java backend services for real-time detection systems, reducing data latency by 40% and equipment downtime by 20%.

Bachelor of Technology in Computer Science & Engineering from Amity University, Kolkata, from 2015 to 2019.