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hynko431/README.md

Hi 👋 I'm Siva Venkata Bhanu Prakash

AI/LLM Engineer | RAG Systems | Agentic AI | Production ML

📍 Bengaluru, Karnataka, India
📧 irakamsivabhanuprakash@gmail.com
🔗 LinkedIn: https://www.linkedin.com/in/siva-venkata-bhanu-prakash/
🔗 GitHub: https://github.com/hynko431


💫 About Me

🔭 Currently working as an AI Engineer Intern at ASAR IT Technologies, Bangalore, where I build and deploy production-grade AI solutions including RAG systems and deterministic LLM pipelines.

👯 Open to collaborating on open-source AI and LLM projects, especially in areas involving retrieval systems, agentic workflows, and scalable API architectures.

🤝 Actively strengthening my foundation in Data Structures & Algorithms (DSA) to enhance problem-solving, system design, and performance optimization skills.

🌱 Currently advancing my expertise in Agentic AI & Generative AI technologies, focusing on real-world deployment, evaluation-driven development, and low-latency inference systems.

💬 Ask me about RAG architectures, LLM pipelines, FastAPI deployments, semantic search, and production AI engineering.

⚡ Fun fact: I believe consistent progress — especially during challenging times — builds long-term resilience and success.


🚀 Professional Experience

AI / OCR Search Engineer Intern

ASAR IT Technologies — Bengaluru
Jan 2026 – Present

  • Built deterministic LLM extraction pipelines with 99% JSON-valid outputs
  • Maintained ~300ms inference latency
  • Reduced OCR noise by 80%+
  • Improved extraction F1 score by 18%
  • Implemented RAG pipelines using LangChain + FAISS
  • Developed FastAPI-based inference & retrieval APIs
  • Built evaluation dashboards tracking precision, recall, F1 & latency

🧠 Key Projects

🔹 MSME Agent-A-Thon – “Pocket CEO”

  • Multi-agent financial advisor for 100+ MSMEs
  • Reduced manual analysis time by 60%
  • Integrated Shopify, Mailchat, Supabase APIs
  • Built during GDG Hyderabad Agent-A-Thon

Live: https://agent-a-thon.vercel.app/
Repo: https://github.com/hynko431/Agent-A-Thon/


🔹 Agentic Medical Report Analysis

  • Conversational medical-report RAG platform
  • FAISS-based semantic retrieval
  • Structured output validation using Pydantic
  • Agentic orchestration pipelines

Live: https://ai-agentic-medicalreport-analysis.streamlit.app/
Repo: https://github.com/hynko431/Agentic-MedicalReport-Analysis


🔹 Conversational AI Avatar

  • Multimodal AI avatar with speech-to-text & TTS
  • Integrated agentic memory and real-time interaction
  • FastAPI + React architecture

Repo: https://github.com/hynko431/Conversational-AI-Avatar


🌐 Socials

Discord Instagram LinkedIn Reddit X Email


💻 Tech Stack

🧑‍💻 Programming Languages

Python Java C SQL


🤖 AI / ML / LLM

TensorFlow Keras PyTorch scikit-learn HuggingFace LangChain FAISS RAG LLMs OpenCV


📊 Data Science & Visualization

NumPy Pandas Matplotlib Plotly SciPy


🌐 Backend & APIs

FastAPI Flask REST API Postman


🎨 Frontend & Web

React NodeJS HTML5 CSS3 Streamlit


🗄 Databases & Search

MongoDB MySQL Postgres SQLite Redis Elasticsearch


☁ Cloud & Deployment

Google Cloud Docker Vercel Render Netlify


🛠 Tools & Developer Utilities

Git GitHub Anaconda PowerShell Windows Terminal

📊 GitHub Stats


🎯 Current Focus

  • Production-grade RAG systems
  • Agentic AI architectures
  • Low-latency LLM inference
  • Evaluation-driven ML development
  • Scalable FastAPI deployments

Build real systems. Measure performance. Improve continuously.

Pinned Loading

  1. Siva_Venkata_Bhanu_Prakash_Portofolio Siva_Venkata_Bhanu_Prakash_Portofolio Public

    TypeScript

  2. News_Analyzer News_Analyzer Public

    Python

  3. HematoVision-Advanced-Blood-Cell-Classification-Using-Transfer-Learning HematoVision-Advanced-Blood-Cell-Classification-Using-Transfer-Learning Public

    HematoVision is an innovative project aimed at developing an accurate and efficient model for classifying blood cells. It leverages transfer learning techniques with pre-trained Convolutional Neura…

    Jupyter Notebook

  4. QA-ChatBot-With-Multiple-OpenSource-Models QA-ChatBot-With-Multiple-OpenSource-Models Public

    Here we use the OpenSource Models through Ollama where we can run it locally in our laptop, but it has to conatain 16 RAM or atleast 8 GB RAM for running small models like 8B and 1B parmeters respe…

    Python

  5. TeleMedicine-Pro TeleMedicine-Pro Public

    Telemedicine is the delivery of clinical healthcare services from a distance using electronic information and technology, such as video calls, phone calls, secure messaging, and remote monitoring o…

    Python

  6. Agentic-MedicalReport-Analysis Agentic-MedicalReport-Analysis Public

    A Python project that creates specialized **LLM-based AI agents** to analyze complex medical cases. The system integrates insights from different medical specialists to provide comprehensive assess…

    Python 1