REGINALD ALFRET V
Open-Source Contributor · AI & DS Engineer · Software Developer
⚡ OPEN-SOURCE CONTRIBUTIONS
30 pull requests merged across leading engineering organisations
👨💻 Professional Summary
Open-Source Contributor, AI & Data Science Engineer and Software Developer (final-year B.Tech AI & DS) building AI/ML systems, full-stack applications and scalable products. Currently building an ERP platform at DailyGurus. Built 70+ projects, including three 1st-place hackathon winners (HackIndia 2026, TN Police Hackathon 2025, Blaze a Trail 2.0). Author of 30 merged open-source pull requests at Apple, Google, Microsoft, AWS, Meta, NVIDIA, NASA, Netflix, Stripe and more.
💼 Professional Experience
- Worked on ERPNext, contributing to module customizations, workflows and application development.
- Developing a full ERP software platform from scratch across frontend, backend, database and business logic layers.
- Building web applications and REST APIs with React.js, Node.js and TypeScript for scalable, reliable systems.
- Built Python web-scraping tools to collect aerospace research papers and technical data from IEEE sources.
- Curated the data and fine-tuned an LLM using LoRA (Low-Rank Adaptation) on the domain-specific dataset.
🚀 Key Projects
301 Super AI Agents — Sovereign Multi-Agent AI Platform
1st · HackIndia 2026 (500+ Teams)Local-first multi-agent AI platform with 301 specialised agents for real-world task automation.
- Designed a multi-agent platform with 301 specialised agents coordinated by a central Agent 301.
- Implemented local model selection, OCR document parsing, real-time streaming and automation.
- Built an interface supporting offline, on-device inference for privacy-sensitive environments.
TOR-UNVEIL — Dark Web AI Cybercriminal Tracker
1st · TN Police Hackathon 2025Full-stack AI platform adapted for live operational use by Tamil Nadu Police.
- Built a platform for real-time cybercriminal identification and network profiling on TOR dark web.
- Developed search, suspect profile cards and network-graph visualisations with ML classification.
AI Crop Recommendation & Agri-Intelligence Engine
1st · Blaze a Trail 2.0ML-powered recommendation system for precision farming.
- Built an ML engine using soil, weather and GIS datasets to deliver actionable farming insights.
- Integrated REST API backend with React.js dashboard; applied Explainable AI for accessibility.
🛠️ Technical Skills
🎓 Education
🏆 Achievements
📜 Certifications
⚡ 12 Stacks. 1 Product.
One product. Twelve technology ecosystems. A practical engineering experiment exploring how different technologies approach the same application — with genuine framework implementations, empirical benchmarks, and zero fabricated metrics.