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Software Engineer with 5+ years in Java, AWS & AI/LLM
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Assessing your cultural and operational fit
Backend-leaning full stack engineer with 3.5+ years delivering production-grade microservices and ad-tech integrations at DAZN - a global sports streaming platform serving millions of concurrent viewers. Migrated 600+ competition datasets to a new data provider with zero downtime, reduced system errors by 80%, and built cross-platform bridges that unblocked revenue-critical features for Foxtel's Kayo & Binge apps. Currently building an AI/RAG agent at DAZN to deepen LLM expertise and bring intelligent automation to sports content workflows.
Shri Vishnu Engineering College for Women
B.Tech
August 1, 2018 – June 30, 2022
DAZN
Software Engineer
March 1, 2022 – Present
Hyderābād, Telangana, India
Publicis Sapient
Junior Associate
January 1, 2022 – March 1, 2022
India
Virtusa
Engineering Intern
June 1, 2021 – November 1, 2021
India
AI RAG Agent for Sports Metadata - DAZN
June 18, 2026 – Present
Building a retrieval-augmented generation pipeline enabling non-technical analysts to query DAZN's sports metadata in natural language, eliminating the need for SQL queries or data requests. The architecture includes document ingestion, chunking, embedding, vector store (OpenSearch), an LLaMA inference layer, and a REST API consumed by a React.js UI. Applying knowledge from GenAI Essentials certification (Transformers, NLP, fine-tuning) to a real production problem.
GenAI Essentials
FreeCodeCamp
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience at DAZN, a global sports OTT platform, suggests adaptability to fast-paced, high-demand environments. Their involvement in diverse projects, from large-scale migrations to AI/LLM development, indicates a broad interest in technology and a willingness to tackle varied challenges. The focus on revenue-critical features and system reliability aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by diagnosing and fixing critical ad delivery issues and overhauling monitoring. Their experience in leading migrations and building integration apps suggests good project execution and collaboration. The ongoing AI RAG project indicates a proactive learning attitude and ability to apply new knowledge.