Open to opportunities

Pandurang Mopgar

@pandurangmopgar

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AI Engineer and Researcher building long-term memory for intelligent agents and autonomous discovery.

Zimbabwe

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What I'm looking for

I’m looking to build high-impact AI systems—especially agent memory and LLM workflows—where I can ship production integrations, push research into benchmarks, and contribute to autonomous, safety-aware discovery with a builder mindset.

I’m an AI Engineer and AI Researcher building MemoryStack, the memory layer for intelligent agents. As a founder, I focused on persistent long-term memory and achieved 93% accuracy on the LongMemEval benchmark, outperforming commercial baselines by 20%+ across preference retrieval, knowledge updates, and multi-session reasoning.

I’ve shipped production-ready integrations (Python/Node.js SDKs, MCP integration, and a browser extension) powering agents like Claude Code, OpenClaw, and the Hermes agent. I also bring a strong applied research background, with 5+ papers on AI safety, agent memory, and autonomous drug/catalyst discovery—plus hands-on engineering from HR recruitment automation to medical imaging and low-latency RAG chatbots.

Experience

Work history, roles, and key accomplishments

Current

Founder

Current

MemoryStack

Oct 2025 - Present (9 months)

Built the memory layer for AI agents with persistent long-term memory capabilities, achieving 93% accuracy on the LongMemEval benchmark and outperforming industry baselines by 20%+ across preference retrieval, knowledge updates, and multi-session reasoning. Shipped Python/Node.js SDKs, MCP integration, and a browser extension powering production memory integrations for Claude Code, OpenClaw, and t

LongMemEval Multi Session Reasoning MCP Integration Browser Extension Agent Memory Systems

AI Innovation Engineer

GetMySaaS

Feb 2026 - Apr 2026 (2 months)

Researched and built vendor outreach automation pipelines, designing scalable personalized outreach sequences to improve prospect engagement efficiency. Developed Kanban-based workflow automation solutions and evaluated emerging AI frameworks and LLM tooling to identify optimal technologies for product and internal system improvements.

Vendor Outreach Automation Workflow Automation Kanban Sprint Planning

Fullstack AI Intern

AI Mishqat

Sep 2025 - Oct 2025 (1 month)

Architected an end-to-end automated HR recruitment system using LLM-powered resume-to-JD matching, intelligent candidate scoring, and automated interview scheduling via Google Calendar/Meet APIs. Built an LLM-based lead generation platform with personalized email sequences and automated follow-ups, improving lead conversion rates by 40% and reducing manual outreach efforts by 80%.

Interview Scheduling Google Calendar Google Meet Lead Generation Email Automation

AI Engineer Intern

Nirveonx

Jun 2025 - Aug 2025 (2 months)

Developed an NIH Chest X-ray classification model achieving 94% accuracy across 14 disease categories, reducing diagnostic time by 60%. Architected a production-ready LLM chatbot with advanced RAG, processing 5,000+ daily queries with 85% intent recognition accuracy and sub-300ms response latency.

NIH Chest X Ray Classification Computer Vision Classification LLM RAG Production AI Systems

Education

Degrees, certifications, and relevant coursework

MGM College of Engineering, Kamothe

Bachelor of Computer Science, Computer Science

2021 - 2025

Grade: 7.8/10

Activities and societies: CGPA: 7.8/10. Relevant coursework: Data Warehouse and Mining, Cloud Computing, AI, Deep Learning. Published 5+ papers on arXiv and ChemRxiv (AI safety, agent memory, autonomous drug/catalyst discovery). Oracle Certified Generative AI Developer; Smart India Hackathon finalist (2023), internal winner (2024); Accenture Innovation Challenge 2nd place (2024, Sandbox Phase).

Bachelor of Computer Science at MGM College of Engineering, Kamothe (2021–2025), including coursework in data warehouse and mining, cloud computing, AI, and deep learning.