I'm a CS undergraduate at Vemana Institute of Technology obsessed with building production-grade AI systems at scale. Currently building GrowthNest — an AI agency automating enterprise workflows with autonomous agents, RAG systems, and intelligent pipelines.

Top 10 Finalist at RV Robotiesta Hackathon | 36-Hour AI Hackathon Winner | Self-taught in LLMs, AutoGen & RAG systems

I don't just study AI. I ship it. Every project solves a real problem.

GrowthNest is an AI agency specializing in enterprise automation through autonomous AI agents and intelligent systems.

• 🤖 Autonomous Agent Development — Multi-agent systems that decompose, execute, and self-correct
• 📚 RAG-Powered Intelligence — Production-grade retrieval pipelines with zero hallucinations
• 🔗 Workflow Orchestration — Seamless integration of AI with existing business processes
• 📊 Intelligent Data Pipelines — ETL automation with LLM-powered data transformation

• Enterprise RAG System — Document intelligence for large organizations
• Multi-Agent Research Platform — Autonomous research at scale
• Process Automation Engine — Custom AI solutions for client workflows

Transform how enterprises work by deploying AI agents that think, act, and improve independently.

Python       ████████████████████ 100% | SQL    ██████████████░░░░░░ 75%
Bash/Shell   ██████████████░░░░░░ 75%  | Git    ███████████████░░░░░ 80%

LangChain            ████████████████████ 100% | RAG Pipelines      ████████████████████ 100%
AutoGen              ████████████████████ 100% | Prompt Engineering ███████████████░░░░░ 90%
OpenAI/Gemini API    ████████████████████ 100% | Fine-Tuning        ██████████░░░░░░░░░░ 60%
Multi-Agent Systems  ████████████████████ 100% | Vector DBs (FAISS) ███████████████░░░░░ 85%

Scikit-learn      ███████████████░░░░░ 80% | NumPy/Pandas   ███████████████░░░░░ 85%
Data Viz          ████████████░░░░░░░░ 70% | Statistical A. ██████████░░░░░░░░░░ 65%

Streamlit       ████████████████░░░░ 85% | Google Colab   ████████████████░░░░ 90%
VS Code         ████████████████████ 100%| Jupyter        ████████████████░░░░ 90%
Linux           ██████████████░░░░░░ 75% | Replit         ███████████░░░░░░░░░ 70%

Production-grade RAG pipeline enabling users to query PDFs in natural language with citation-backed answers.

Key Achievements:

• ✅ 40% reduction in irrelevant retrievals through optimized chunking
• ✅ Zero hallucinations — every answer grounded in source documents
• ✅ One-click deployment for non-technical users via Streamlit
• ✅ Scales to 1000+ page documents in seconds

Tech Stack: LangChain, FAISS, OpenAI API, Streamlit, Python

Autonomous 3-agent system that researches, critiques, and synthesizes information without human intervention.

Performance Metrics:

• 🎯 Reduced 5-source research from 45 mins → 3 mins
• 🎯 100% pass rate across 30+ adversarial test cases
• 🎯 Handles finance, tech, and science queries flawlessly
• 🎯 Self-correcting architecture — learns from failures in real-time

Agents:

1. Researcher — Decomposes queries, finds authoritative sources
2. Critic — Cross-examines sources, identifies biases
3. Synthesizer — Produces structured, debate-validated reports

Multi-step goal decomposition engine that breaks down user objectives into executable sub-tasks and self-corrects.

Reliability & Testing:

• 💪 85%+ success rate across 20+ edge cases
• 💪 Handles ambiguous instructions gracefully
• 💪 Stress-tested with conflicting constraints
• 💪 Iterative system prompt refinement for robustness

Architecture: Goal decomposition → Tool-use chaining → Failure detection → Self-correction

NLP-powered chatbot with multi-turn context management that advanced to finals against 100+ competing teams.

Judges' Feedback: Advanced technical implementation, real-time demonstration, superior intent classification.

Vemana Institute of Technology, Bengaluru | Sep 2024 – Sep 2028

Coursework: Data Structures & Algorithms, OOP, DBMS, AI, Machine Learning, Computer Networks

Self-Study:

• 📚 Building autonomous multi-agent systems (no formal instruction)
• 📚 Advanced RAG architectures and vector search optimization
• 📚 LLM fine-tuning and prompt engineering at scale
• 📚 Production deployment of AI systems

Sri Sairam College of Engineering, Bengaluru | Apr 2022 – Apr 2024

English     ████████████████████ Professional
Hindi       ████████████████░░░░ Professional  
Bengali     ████████████████░░░░ Native
Kannada     ████████░░░░░░░░░░░░ Elementary

🤖 Autonomous AI Agents
📚 Large Language Model Systems  
🔍 Retrieval-Augmented Generation
🔗 Multi-Agent Architectures
📖 Natural Language Processing
⚙️ Intelligent Process Automation
🚀 ML Model Deployment at Scale

I'm always excited to discuss:

• 🚀 AI agents and autonomous systems
• 📚 RAG architecture optimization
• 🤖 Enterprise AI automation
• 💼 GrowthNest partnership & collaboration opportunities

"Don't study AI. Build it. Every project should solve a real problem, not just demonstrate a technique."

I believe in:

• ✅ Shipping > Studying — Real projects over theoretical knowledge
• ✅ Rigorous Testing — Edge cases, stress tests, adversarial prompts
• ✅ Production-Grade Quality — Not just working, but scalable and reliable
• ✅ Continuous Learning — Reading papers, engaging with AI communities, breaking things to build them better

Made with ❤️ by Suman Rana | Automating the future with AI