AT.

Arizona State University, Tempe

GPA: 3.93 / 4.0

JNTU, Hyderabad, India

GPA: 9.21 / 10.0

• Designed conversation truncation logic to efficiently manage context length, ensuring reliable LLM performance.
• Spearheaded development of a universal URL processing API with integrated caching.
• Deployed scalable ingestion API for 25,000+ Canvas courses into OpenSearch with RBAC implementation.

• Reduced file chunking time by 95% (1500s to 4.87s) via advanced chunking strategies.
• Developed CI/CD pipelines: Dockerized applications, published to ECR, and deployed on Lambda.
• Engineered RAG pipelines integrating Google Drive API with OpenSearch.

• Enhanced search engine accuracy by 30% for domain-specific products.
• Created 'Data Lens' for NER model training, achieving 80-90% accuracy.
• Developed GPT-powered bots handling 5,000+ daily interactions.

• Improved NetML malware detection accuracy by 6% using Boosting algorithms.
• Achieved top 5 position in Network Traffic Analytics Challenge 2020.