data ="""# **SARATH CHANDRA BANDREDDI** 
---
## **PROFESSIONAL SUMMARY**
> **AI Engineer Intern** experienced in Python, AI, and Django. Skilled in building full-stack intelligent systems, developing RAG pipelines, working with LLMs, and integrating cutting-edge tools like LangGraph, LlamaIndex, and Gemini. Passionate about crafting impactful AI applications with security and scalability in mind.

---
## **TECH STACK**
- **Languages**: Python, Java, JavaScript, C, R
- **Scripting**: Shell Scripting
- **Markup Languages**: HTML, CSS, Jinja Coding
- **Operating Systems**: Linux, Windows
- **IDE Tools**: VS Code, RStudio, PyCharm
- **Libraries/Frameworks**: TensorFlow, Keras, LlamaIndex, LangChain, LangGraph, Ollama, OpenCV, Sklearn, Pandas, Django, Gradio
- **Tools / Platforms**: Kaggle, Google Colabs, Git, GitHub, AWS, Figma
- **Databases**: Oracle, MySQL, MongoDB Atlas
---
## **EDUCATION PROFILE**
| Course                     | Institution                      | CGPA | Duration   |
|----------------------------|----------------------------------|------|------------|
| B.Tech-CSE (AI & ML)       | VVIT - Vasireddy Venkatadri      | 8.72 | 2021-2025  |
| 12th Class                 | Narayana Junior College          | 9.22 | 2020-2021  |
| 10th Class                 | Narayana High School             | 9.7  | 2018-2019  |
---
## **PROJECTS**
To know more on particular project just ask My2.0

### 1. [DearHRSpeakWithMy2.0](https://sarath0x8f-dearhrspeakwithmy2-0.hf.space) (Individual Project)
- **Technologies**: Hugging Face, Gradio, Python, LLaMA-3-8B, NLP
- **Description**: Developed a personalized HR interview chatbot that represents the user’s profile, projects, and strengths.
- **Key Contributions**:
    - Implemented structured Q&A to reflect candidate personality and readiness.
    - Hosted on Hugging Face using LLaMA-3 model for real-time interactions.
<!--- Built to simulate HR interviews with highly personalized answers from LLaMA-3 on Hugging Face Spaces. 
     Provides interactive Q&A aligned with resume content. Uses Gradio UI and NLP techniques to structure questions, 
     extract insights, and maintain context across sessions. Designed for demoing AI interview readiness. --->

---

### 2. [Document Query AI Agent](https://sarath0x8f-document-qa-bot.hf.space) (Individual Project)
- **Technologies**: LlamaIndex, Vector Embeddings, Gradio, Hugging Face
- **Description**: A file-based chatbot using RAG for document-specific intelligent answers.
- **Key Contributions**:
    - Used multiple embedding models and LLMs including Mistral, LLaMA.
    - Resilient retry mechanism for document parsing failures.
<!--- Enables real-time semantic search over uploaded documents using RAG. Supports .pdf, .docx, .csv, etc. 
     Uses LlamaIndex for indexing and retrieval, and HuggingFace models for generation. Modular UI allows model-switching. 
     Optimized for LLM-assisted document understanding and Q&A. --->

---

### 3. [AI Agent Nexus](https://huggingface.co/spaces/Sarath0x8f/AI-Agents-using-CrewAI) (Individual Project)
- **Technologies**: Gemini, CrewAI, Serper API, LangChain
- **Description**: Multi-agent platform for SEO content, game dev, and automation.
- **Key Contributions**:
    - Automated SEO content agent and real-time data extractor.
    - Game development agent supporting multi-level logic testing.
<!--- Designed as a modular multi-agent AI suite using CrewAI and LangChain. 
     Includes agents for writing SEO-optimized blog posts, generating game logic, and marketing automation.
     Showcases practical agentic architecture with workflow handling, using Gemini LLMs and Serper for web search. --->

---

### 4. [SCRAM](https://github.com/21bq1a4210/E2E_Project) (Minor Project)
- **Technologies**: Gemini LLM, Django, TensorFlow, OpenCV, Keras
- **Description**: End-to-end campus management system with secure login and facial attendance.
- **Key Contributions**:
    - Built one-shot face recognition attendance system with MTCNN + FaceNet.
    - Integrated chatbot using Gemini and Google API.
    - Secured login with two-step verification.
<!--- Developed complete Django backend for user and complaint management. 
     Integrated real-time attendance with face recognition using deep learning. 
     Chatbot AskVVIT helps with college queries. Project prioritizes secure, modular access to academic resources. --->

---

### 5. [Epic-Minds](https://huggingface.co/spaces/Sarath0x8f/Epic-Minds) (Individual Project)
- **Technologies**: Gemini Flash, MongoDB, LlamaIndex, Hugging Face
- **Description**: Built RamayanaGPT and GitaGPT for spiritual Q&A using vector databases.
- **Key Contributions**:
    - Scriptural QA system with RAG + multilingual-e5 embeddings.
    - Integrated structured prompts and query logs for analysis.
<!--- Developed vector store for Valmiki Ramayana and Bhagavad Gita. 
     Combined Gemini Flash for responses and MongoDB Atlas for vector index. 
     Modular structure with multilingual embedding support and UI for exploration. --->

---

### 6. [AI Assistant for PC] (Work in Progress)
- **Technologies**: LangChain, Custom Agents, File/Info/Web Servers
- **Description**: Creating a modular personal assistant for desktop automation.
- **Key Contributions**:
    - Custom file_server and info_server architecture.
    - Context-aware response engine and file management tools.
<!--- An agentic system for local PC automation tasks like file management, search, alerts. 
     Designed to combine LangChain-based logic with system-level scripts. 
     Still expanding with more intelligent task routing agents. --->

---

### 7. [Celebrity Recognition](https://huggingface.co/spaces/Sarath0x8f/Celebrity_Recognition?logs=container) (Individual Project)
- **Technologies**: VGGFace, TensorFlow, Keras, OpenCV
- **Description**: Real-time celebrity classifier trained on 29 classes with VGGFace.
- **Key Contributions**:
    - Achieved 97.86% accuracy.
    - Applied transfer learning and fine-tuning for high precision.
<!--- Built using pre-trained VGGFace architecture, then fine-tuned on a custom celebrity dataset.
     Deployed using Hugging Face Spaces with webcam integration.
     Implemented data augmentation, optimizer tuning, and early stopping. 
     [Notebook](https://www.kaggle.com/code/sarath02003/face-recognition-using-vggface2) --->

---

### 8. [The Linguistic Lens](https://sarath0x8f-ocr-translator.hf.space) (Individual Project)
- **Technologies**: PaddleOCR, GoogleTranslator, gTTS, Gradio
- **Description**: OCR and multilingual translator with voice support.
- **Key Contributions**:
    - OCR, translation, and TTS in one app.
    - UI for uploading and processing images.
<!--- Text extracted from images via PaddleOCR, translated using Google Translate API,
     and converted to speech with gTTS.
     Built for accessibility in multilingual communication. --->

---

### 8. [Object Segmentation](https://colab.research.google.com/drive/1cpNEx_u70I26Ex0alZZxoFa47p6fpoDz?usp=sharing) (Individual Project)
- **Technologies**: YOLOv8, OpenCV, SSIM
- **Description**: Tool for object detection, image enhancement, and comparison.
- **Key Contributions**:
    - Used SSIM for measuring image similarity.
    - YOLOv8 for detecting and highlighting objects.
<!--- Python-based script for side-by-side comparison of objects.
     Supports grayscale enhancement, noise filtering, and detection overlay.
     Used in image analytics tasks and visual pipeline experimentation. --->

---
## **CERTIFICATIONS**
- **Python Programming**: [Kaggle](https://www.kaggle.com/learn/certification/sarath02003/python), [SoloLearn](https://www.sololearn.com/en/certificates/CT-NLSO0STL), [HackerRank](https://www.hackerrank.com/certificates/263f6a71988a), [GUVI](https://www.guvi.in/verify-certificate?id=209j6x21oAr815w22s)
- **Machine Learning**: [Coursera](https://www.coursera.org/account/accomplishments/verify/ZN3LX57MCMD5), [Microsoft](https://learn.microsoft.com/en-us/users/bandreddisarathchandra-3927/achievements/ek5w55lp), [Kaggle](https://www.kaggle.com/learn/certification/sarath02003/intro-to-machine-learning)
- **Deep Learning**: [OpenCV](https://courses.opencv.org/certificates/9c0b11a53fcb4f56bcb21bcbd72c106a), [NPTEL](https://internalapp.nptel.ac.in/NOC/NOC24/SEM1/Ecertificates/106/noc24-cs59/Course/NPTEL24CS59S125630124930429241.pdf), [IBM](https://www.credly.com/badges/0461b4db-af25-4025-a6b9-4d61997fd1f6/public_url)
- **Gen AI**: [Google Skill Boost](https://www.cloudskillsboost.google/public_profiles/9bb8b044-6619-4961-b707-4349dceaa1dc)
- **Django**: [Microsoft Django Developer Badge](https://learn.microsoft.com/en-us/users/bandreddisarathchandra-3927/achievements/ek5w55lp)
- **AWS**: [Cloud Foundations](https://www.credly.com/badges/a1cc8647-4436-47c5-8d9c-bd089043c033/public_url), [Cloud Architecting](https://www.credly.com/badges/a1cc8647-4436-47c5-8d9c-bd089043c033/public_url)

---
## **ACHIEVEMENTS**
- Runner-up in Python Intramural technical fest at RVR&JC College [Event Photo](https://media.licdn.com/dms/image/D5622AQFKoaWnZ1H1-w/feedshare-shrink_2048_1536/0/1707652131442)

---
## **PASSIONS**
- **Deep Learning Engineer**: Transforming the financial and edtech sector.
- **AI Application Builder**: Creating end-to-end systems that interact with real-world users.

---
## **HOBBIES**
- Nurturing plants 🌱  
- Exploring emerging AI tools 🧠  
- Pencil sketching ✏️  
- Writing intelligent code 💻  

---
## **FIND ME ONLINE**
- [MyPortfolio](https://21bq1a4210.github.io/MyPortfolio-/)
- [CodeChef](https://www.codechef.com/users/sarath2003)
- [Instagram](https://www.instagram.com/sarath_0x8f)
- [HackerRank](https://www.hackerrank.com/profile/sarath_0x8f)

---
## **CONTACT ME**:
- [LinkedIn](https://www.linkedin.com/in/sarath-chandra-bandreddi-07393b1aa/)
- 📧 bandreddysarathchandra@gmail.com
"""