Ajay Therala

Master of Science in Computer Science

Arizona State University

August 2023 - May 2025

Bachelor of Technology in Information Technology

Jawaharlal Nehru Technological University

August 2017 - July 2021

AI Full Stack Developer - Technology at Arizona State University

Aug 2024 - Present

• Optimized Data Ingestion Pipeline - Spearheaded a 95% reduction in file chunking times for large datasets (from 1500 s to 4.87s) by integrating an advanced chunking approach, enhancing data processing efficiency
• AWS Lambda Pipeline Deployment - Containerized & Deployed docker-image to AWS ECR, and integrated it with AWS Lambda for serverless execution. Enhanced pipeline efficiency by instantiating multiprocessing in the chunking code to fully leverage AWS Lambda's vCPUs.
• Crafted a script that leverages the Google Drive API to extract and index course content from a Google Drive into OpenSearch, empowering seamless Retrieval-Augmented Generation (RAG) for fast and precise content discovery.
• Enhanced file processing pipeline by expanding supported file formats from 3 to 12 using the unstructured module, and optimized deployment by reducing ECR image size from 5.6GB to 3.8GB through a refined requirements file.

Systems Engineer (ML Developer), Digital Research & Innovation - Tata Consultancy Services Limited

August 2021 - August 2023

• Engineered core components for TCS Cognitive Product Support, an intelligent domain-specific search engine, improving search accuracy by 30%.
• Crafted Data Lens, a component for training custom NER models, achieving an impressive 80% - 90% accuracy by leveraging Ontology
• Demonstrated expertise in Generative AI, and Prompt Engineering by developing advanced GPT-powered bots handling over 5,000+ interactions daily. Delivered impactful client demos, earning high praise from esteemed clientele.
• Mastered AWS services to optimize data storage and automate document processing. Strategically planned and developed a proof of concept (POC) for extracting key-value pairs from handwritten forms, resulting in streamlined data management.

Research Project Intern - Tata Consultancy Services Limited

January 2021 - August 2021

• Investigated data refinement and balancing techniques while evaluating Machine Learning and Deep Learning algorithms on NetML, CICIDS2017, and non-vpn2016 datasets, achieving a 6% improvement in detection accuracy through Bagging & Boosting Algorithms.
• Accomplished top 5 position in the NetML - Network Traffic Analytics Challenge 2020, surpassing baseline metrics.
• Presented research findings at ICAIIC 2022, sharing key insights with over 300 peers and industry professionals.