Spaces:
Runtime error
Runtime error
| 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. Graduated from VVIT. | |
| --- | |
| ## **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 | |
| """ |