Building Multi-Source Research Agent from 0-1
Autonomous research agent orchestrating deep web search, PDF synthesis, tool execution, and grounded citation generation.
Lead Engineer
Core Builder
2024 — 2026
Python, LangChain, Gemini API
The Friction Point & Opportunity
Synthesizing deep research across dozens of technical papers and live websites manually takes hours of tedious note-taking.
System Design & Implementation
Designed an agent loop using LangChain, Gemini function calling, and vector retrieval over PDF embeddings.
Key Capabilities & Engineering Depth
Vector Retrieval & Hybrid Search
Sub-second semantic search across multi-source knowledge bases.
Real-time Telemetry & Tele-Advisory
Self-healing data ingestion pipelines with instant verification.
Tactile Micro-interactions & Usability
Interfaces should feel alive, responsive, and predictable. Every touchpoint was tested against real user mental models to ensure zero confusion during multi-step tasks.
Measurable Outcomes & Production Resilience
Accelerated comprehensive technical research turnaround time from 4 hours to under 30 seconds.
Key Learnings & Future Roadmap
Building software from 0 to 1 reinforced the principle that great engineering is about discipline, simplicity, and continuous feedback loops with real users.