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RachanaB5/README.md

Hi, I'm Rachana Bhaskar Gowda πŸ‘‹

Building AI Systems, Full-Stack Applications & Open Source Projects


πŸ‘©β€πŸ’» About Me

  • πŸŽ“ B.Tech CSE (AI Major), Minor: FinTech β€” RV University, Bangalore | CGPA: 9.19/10
  • πŸ€– Focused on Reinforcement Learning, LLM fine-tuning, and full-stack AI systems
  • πŸ† Top 2.5% of 32,000+ teams β€” Meta PyTorch OpenEnv Hackathon
  • 🌱 Active Open Source Contributor (GSSoC 2026, C2SI Organisation)

πŸ“ˆ Quick Facts

  • πŸ† Ranked Top 800 / 32,000+ teams at Meta Γ— Scalar All India AI Hackathon
  • πŸ€– Fine-tuned Qwen2.5-3B via GRPO β€” full-fix rate 0% β†’ 91% at peak batch
  • πŸ—οΈ Shipped CampusRunner: full-stack monorepo with real-time delivery, payments, and CI/CD
  • πŸ“Š Designed E-Commerce DBMS with normalized schema, REST API, and 8+ entities
  • πŸ”¬ Built adversarial two-agent RL environment for compliance patch training

πŸš€ Currently Working On

  • 🀝 Contributing to GSSoC 2026 and C2SI open source projects
  • πŸ€– Adversarial LLM fine-tuning and RL-based compliance systems
  • πŸ•ΈοΈ Full-stack platforms with React, Flask, Docker, and CI/CD pipelines
  • πŸ“š Exploring RAG architectures and agentic AI workflows

πŸ“š Currently Learning

  • Retrieval-Augmented Generation (RAG)
  • LLM Fine-tuning (QLoRA, GRPO, Unsloth)
  • Backend Architecture with Flask & Node.js
  • Docker & Deployment Workflows

πŸ› οΈ Tech Stack

Languages







AI / ML & Frameworks






DevOps, DB & Cloud







πŸ“‚ Featured Projects

Full-stack monorepo (React 18 + TypeScript + Flask + SQLAlchemy) with 3 user roles, real-time order tracking via Socket.IO, Razorpay payments, and a full Docker + GitHub Actions CI/CD pipeline with CodeQL and Trivy scanning.

Two-agent adversarial RL environment (Patcher vs. Adversary). Fine-tuned Qwen2.5-3B-Instruct via GRPO (TRL + Unsloth 4-bit QLoRA) β€” reward 0.84 β†’ 2.11, full-fix rate 0% β†’ 91%. Deployed on HuggingFace Spaces + Docker.

PyTorch RL environment for auditing GDPR, SOC2, HIPAA, PCI-DSS, and ISO 27001 compliance. AST-level semantic patch validation across a 3-tier difficulty ladder. Top 2.5% at Meta PyTorch OpenEnv Hackathon.

Self-validating autonomous agent that re-evaluates each action against expected state before committing. Selected for Round 2 in a 24-hour competition.

Flask + MySQL e-commerce system with authentication, product catalog, cart, order management, normalized DB schema, and REST API layer.


πŸ’Ό Experience

AI Intern β€” Broadrange AI (Jan – Jun 2024) Built a production Streamlit multimodal app integrating Hugging Face APIs (BART, RoBERTa) for summarization, Q&A, translation, and TTS. Engineered PDF extraction, audio transcription, and token-cost optimization as sole developer. β†’ github.com/RKBroadrangeAI/rvmultimodal


🌱 Open Source Journey

2026
β”œβ”€β”€ Joined GSSoC 2026
β”œβ”€β”€ Contributing to C2SI: acf-sdk, dataloom, honeynet
└── Learning large-scale open-source collaboration

🀝 Looking to Collaborate On

  • Open Source Projects (AI, ML, Backend)
  • RL & LLM Applications
  • Full-Stack Development
  • Backend Engineering

⚑ Fun Fact

I enjoy turning academic concepts like queues, compliance frameworks, and NLP into systems that actually run in production.

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