Contributor
Rajveer Singh
ChronoMem: Temporal Agent Memory
Work that moved
the platform forward.
- Mentor
- Arman Singh
- Organization
- dropdat
- Technologies
- Python, LLMs, Vector Databases, RAG
- Topics
- Agent Memory, Temporal Reasoning, Evaluation
Project record
Contribution,
documented.
- Role
- AI/ML Engineering Intern — Agent Memory Systems
- Duration
- July 1, 2026 – August 31, 2026
- Record issued
- August 31, 2026
Rajveer joined dropdat as an AI/ML Engineering Intern—Agent Memory Systems, beginning July 1, 2026 and ending August 31, 2026. Based out of our Noida office, Sector 62, he worked closely with our engineering team, taking ownership of assigned tasks and consistently delivering high-quality work.
For his project, Rajveer researched and developed ChronoMem, a temporally-aware memory layer for LLM agents. He designed a two-store memory architecture pairing a structured fact store with a vector store for episodic recall, and implemented LLM-based fact extraction, contradiction detection, and temporal validity tracking.
Rajveer also built an evaluation harness benchmarking the system against a naive RAG baseline. He demonstrated strong technical ability, a collaborative attitude, and a genuine eagerness to learn. We wish him continued success in all future endeavours.
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