# Ishaan Aggarwal > SDE @ eGain Location: San Francisco Bay Area, United States Profile: https://flows.cv/ishaanaggarwal I’m a backend software engineer focused on building scalable retrieval systems and infrastructure for AI-driven applications. At eGain, I work on backend platforms that power enterprise search and AI systems at scale. My work spans two core areas: search infrastructure and agentic AI frameworks. On the search side, I design and build indexing pipelines, query-serving APIs, and hybrid retrieval architectures using Python, FastAPI, and OpenSearch. These systems enable low-latency search across large enterprise knowledge bases and support high-throughput production workloads. In parallel, I develop backend frameworks for AI agents, building orchestration systems that allow LLM-based agents to interact with enterprise APIs, retrieval systems, and external tools. This includes designing event-driven pipelines and observability frameworks to support reliable agent execution in production environments. Previously, I conducted research in AI-enabled robotics at the University of the Pacific and developed generative models for satellite imagery at NTT Data in Tokyo, applying deep learning and distributed systems to real-world data pipelines. My core areas of interest include: • Search infrastructure and information retrieval • Agentic AI systems and tool-using LLM frameworks • Distributed backend systems and indexing pipelines • Hybrid search architectures (lexical + semantic retrieval) • Cloud-native backend services on AWS Technologies I frequently work with include Python, OpenSearch/Elasticsearch, FastAPI, PostgreSQL, Docker, and AWS. I’m particularly interested in building systems that combine retrieval infrastructure with AI agents, enabling reliable, scalable access to large knowledge bases. ## Work Experience ### Software Engineer — Agentic AI Frameworks & LLM Infrastructure @ eGain Corporation Jan 2025 – Present • Designed and implemented a production agent orchestration platform enabling LLM-driven workflows across enterprise systems. • Built backend frameworks for tool-using LLM agents, supporting reasoning loops and integration with internal APIs and knowledge retrieval systems. • Developed event-driven agent pipelines on AWS to ingest and normalize real-time events from external platforms into internal workflows. • Implemented observability and tracing for agent execution, tracking tool calls, latency, and failure recovery across distributed services. ### Software Engineer — Search Infrastructure @ eGain Corporation Jan 2025 – Jan 2025 | Sunnyvale, California, United States • Designed and operated distributed search infrastructure for multi-tenant enterprise knowledge systems, enabling scalable retrieval across highly connected datasets. • Built large-scale indexing pipelines and query-serving APIs using Python and FastAPI powering OpenSearch-based retrieval systems handling 200K+ daily queries with 99.9% uptime. • Reduced search latency by 35% through query optimization, asynchronous I/O, connection pooling, and caching strategies. • Implemented hybrid lexical–semantic retrieval architecture, integrating embedding-based semantic search with traditional inverted-index ranking. • Instrumented observability and performance monitoring for search services, tracking latency, throughput, and reliability metrics across distributed retrieval pipelines. ### Machine Learning Intern @ NTT DATA Jan 2024 – Jan 2024 | Tokyo, Japan • Developed a Generative Adversarial Network (GAN) to synthetically generate satellite data, enhancing data availability for research. • Conducted data analysis to identify trends and insights from satellite imagery. • Assisted in preparing technical reports and presentations for stakeholders. • Evaluated machine learning models and fine-tuned parameters to optimize results. ### Software Engineer @ Abbott Jan 2022 – Jan 2022 | United States ## Education ### Master of Science - MS in Computer Science University of the Pacific ### Bachelor's degree in Computer Science University of the Pacific ## Contact & Social - LinkedIn: https://linkedin.com/in/iaggarw1 --- Source: https://flows.cv/ishaanaggarwal JSON Resume: https://flows.cv/ishaanaggarwal/resume.json Last updated: 2026-04-11