AI/backend engineer focused on agent tooling, retrieval workflows, open-source systems, and verification-heavy software.
- Building AI-assisted developer and recruiter workflows with Python, TypeScript, and LLM tooling.
- Working on retrieval, persistent agent memory, and cross-session knowledge systems.
- Packaging open-source proof work so reviewers can inspect the problem, implementation, and evidence quickly.
Student-focused recruiter outreach assistant built with Python, Django, Playwright, Docker, and LLM workflows.
- Helps students research leads and prepare targeted outreach.
- Includes a reproducible app structure and demo evidence.
- Built around practical workflow automation rather than a toy chatbot.
AI productivity toolkit for automated ingestion, cross-notebook semantic search, and developer CLI workflows.
- Focuses on retrieval-heavy workflows and knowledge navigation.
- Uses agent-style automation patterns for repeatable research and organization.
- Shows my interest in AI tools that improve real work loops.
Audit-trail prototype with proof logs, Bloom accumulator checks, and auditor verification flow.
- Designed around tamper-evident review and verification.
- Uses JavaScript/Node.js to model integrity checks and reviewer-facing evidence.
- Good example of my systems/security-adjacent project work.
AI-powered candidate ranking system using OCR/NLP, FastAPI, AWS, and Docker.
- Processes resume data into ranked candidate outputs.
- Deployed demo: https://huggingface.co/spaces/Rahul7009/resume-shortlister-demo
- Shows applied NLP, API design, and deployment practice.
End-to-end misinformation classification pipeline using Python, scikit-learn, NLP, Flask, and GCP.
- Published with a live Hugging Face demo.
- Deployed demo: https://huggingface.co/spaces/Rahul7009/fake-news-detection
- Useful as a compact ML pipeline example.
Prototype CLI for checking Hyperledger Cacti SATP demo status and audit evidence.
- Built around open-source validation and debugging workflows.
- Connects my backend/tooling work with distributed-system interoperability.
I have worked across open-source and proof-driven systems including Hyperledger Cacti, COSMIC/GSoC-related work, LF Decentralized Trust workflows, and C4GT proposal proof packages.
Python, TypeScript, JavaScript, C++, FastAPI, Django, Node.js, Docker, AWS, GCP, GitHub Actions, Linux, NLP, retrieval systems, LLM tooling.
500+ DSA problems solved across LeetCode and Codeforces, with resume evidence available through my portfolio and application materials.
- Portfolio: https://rahul2k4.vercel.app
- LinkedIn: https://linkedin.com/in/rahul-tripathi-ai
- GitHub: https://github.com/Rahul-2k4
- Email: rahultripathi7009@gmail.com