Skip to content
View Satishherakal's full-sized avatar
1 follower · 7 following

Block or report Satishherakal

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Satishherakal/README.md

Satish Herakal

AI/ML Engineer building scalable LLM systems and production-ready ML infrastructure.

🎯 Focus Areas

  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Multi-Agent Architectures
  • MLOps & Model Lifecycle
  • Production ML Deployment

🛠 Tech Stack

🚀 Selected Work

ReflexionAI

Multi-agent LLM copilot with structured reasoning, evaluation pipeline, and containerized deployment.

End-to-End ML Pipeline

Experiment tracking, CI/CD automation, model versioning, and reproducible workflows.

🔬 Currently Working On

  • Strengthening LLM evaluation frameworks
  • Improving deployment reliability
  • Scaling RAG architectures

🤝 Open Source Contributions

Pinned Loading

  1. ReflexionAI-Multi-Agent-LLM-Copilot-with-RAG-and-Self-Reflection ReflexionAI-Multi-Agent-LLM-Copilot-with-RAG-and-Self-Reflection Public

    ReflexionAI is an intelligent multi-agent copilot that enhances LLM responses using RAG, evaluation agents, and reflection loops for accurate and trustworthy outputs.

    Python 1

  2. IntelliMeet IntelliMeet Public

    End-to-End AI pipeline for real-time speech-to-text, LLM-based meeting summarization, action extraction, and accessible output (voice & Braille).

    Python 1

  3. NLP_Project NLP_Project Public

    Jupyter Notebook 1

  4. Render-Demo Render-Demo Public

    Deploying a ML model using Flask and Render to predict employee salaries based on interview and test scores.

    Python 1

  5. Programming-Rules-Violation-Detector Programming-Rules-Violation-Detector Public

    Python 1

  6. Network-Traffic-Analyzer-Anomaly-Detector Network-Traffic-Analyzer-Anomaly-Detector Public

    ML-powered network traffic analyzer using Isolation Forest for unsupervised anomaly detection. Detects port scans, DDoS, data exfiltration, and ICMP floods with 96.8% accuracy.

    Python 1