🎓 B.Tech in Computer Science & Engineering 🏫 National Institute of Technology Hamirpur (2022 – 2026) 📈 CGPA: 8.14/10
📧 Email: tanujash605@gmail.com 💼 LinkedIn: https://linkedin.com/in/tanuja-sharma-4b3100343 💻 GitHub: https://github.com/Tanuja2123 ⚡ LeetCode: https://leetcode.com/u/Tanuja71172/
I'm passionate about building intelligent AI systems that solve real business problems. My work focuses on Agentic AI, Retrieval-Augmented Generation (RAG), Multi-Agent Systems, and Full-Stack AI applications.
I enjoy designing AI workflows that combine reasoning, retrieval, orchestration, and automation to deliver practical enterprise solutions. Alongside AI engineering, I actively practice competitive programming and software development.
- 🤖 Build Agentic AI applications using Semantic Kernel and AutoGen
- 🔍 Design RAG pipelines with vector databases and enterprise search
- 🧠 Develop Multi-Agent Systems for workflow automation
- 🌐 Create Full-Stack AI products using FastAPI and React
- 📊 Build Power BI dashboards and data-driven solutions
- ⚡ Solve algorithmic problems and participate in coding contests
- C++
- Python
- SQL
- HTML5
- CSS3
- LLMs
- Agentic AI
- RAG
- Prompt Engineering
- Multi-Agent Systems
- Semantic Kernel
- AutoGen
- LangChain
- LlamaIndex
- FastAPI
- React
- Streamlit
- Pandas
- NumPy
- Scikit-learn
- ChromaDB
- Azure AI Search
- Hybrid Search
- BM25
- Semantic Search
- Azure OpenAI
- Microsoft Copilot Studio
- Azure DevOps
- Docker
- Git & GitHub
- VS Code
- Jupyter Notebook
Jan 2026 – Present
- Built Agentic AI systems using Semantic Kernel, AutoGen, and Azure OpenAI.
- Engineered enterprise-grade RAG pipelines integrating SharePoint, Azure DevOps, and Azure AI Search.
- Developed AI applications powered by GPT-4o, embeddings, and Azure Container Apps.
- Created interactive Power BI dashboards for business intelligence and reporting.
Tech: Python, Semantic Kernel, AutoGen, FastAPI, React, ChromaDB, Docker
- Built a 6-agent AI system for automated RFP analysis and proposal generation.
- Implemented ReAct loops, Critic Pattern, and GroupChat orchestration.
- Designed an enterprise RAG pipeline for grounded AI responses.
- Integrated Ollama for local deployment and Azure OpenAI GPT-4o for production.
🔗 Repository: https://github.com/Tanuja2123/Pre-Sales-Agent
Tech: Python, FastAPI, AutoGen, Semantic Kernel, LlamaIndex, ChromaDB
- Built a multi-agent AI platform for automated project health tracking using natural language queries.
- Implemented Hybrid RAG using LlamaIndex, BM25, and ChromaDB for intelligent enterprise search and retrieval.
- Designed Intake, Retrieval, and Orchestrator agents using AutoGen and Semantic Kernel for workflow automation.
🔗 Repository: https://github.com/Tanuja2123/Client_delivery_Agent
- 🌍 Global Rank 71 in CodeChef Starters 202
- ⚡ LeetCode Contest Rating 1600+
- 🎯 Solved 800+ coding problems across competitive programming platforms
- 🏅 Winner – Electrothon 5.0 (NIT Hamirpur)
- Supervised Machine Learning: Regression and Classification – DeepLearning.AI (Coursera)
- Application Development with SQL and Databases – IBM (Coursera)
- Competitive Programming Course – TLE
- Advanced Agentic AI Architectures
- Enterprise RAG Systems
- AI Agents & Workflow Automation
- System Design & Distributed Systems
- Azure AI Ecosystem
I'm always interested in discussions around AI Engineering, Agentic AI, RAG Systems, Software Development, and Competitive Programming.
Feel free to connect with me on LinkedIn or collaborate on exciting projects!