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dhanyaamanoj/README.md

πŸ‘‹ Hi, I'm Dhanya Manoj

Associate Software Engineer (AI) | GenAI Engineer | Agentic AI Systems

πŸ“ Trivandrum, Kerala, India
πŸ“§ dhanyaamanoj07@gmail.com
πŸ“ž +91 9961087640
πŸ”— LinkedIn | GitHub


About Me

GenAI Engineer with hands-on experience in building LLM-powered applications, RAG systems, and autonomous agent frameworks for enterprise-scale automation.

I specialize in designing end-to-end AI systems involving:

  • Multi-agent orchestration
  • Retrieval-Augmented Generation (RAG)
  • Document Intelligence pipelines
  • Scalable AI microservices

I focus on turning LLM research into production-grade systems used in real business workflows.


πŸ’Ό Professional Experience

Associate Software Engineer – AI

Zentis AI (Techvantage.ai incubated startup) | May 2025 – Present

  • Built multi-agent AI workflows using CrewAI & LangGraph for enterprise automation
  • Developed production-grade RAG pipelines handling 10K+ daily queries with ~95% accuracy
  • Designed document intelligence systems using Claude Vision, LayoutLMv3, PaddleOCR
  • Built cloud-agnostic ingestion pipelines (AWS S3, Azure Blob)
  • Implemented Human-in-the-Loop systems for model validation & feedback
  • Reduced inference cost through optimized vision + OCR pipelines

Associate Software Engineer – AI

Techvantage.ai | Nov 2024 – May 2025

  • Built AI recruitment automation system using LLMs + MongoDB + APIs
  • Developed HR RAG chatbot for policy Q&A systems
  • Improved deployment efficiency by 40% using CI/CD pipelines
  • Worked directly with clients to translate business requirements into AI systems

GIS Analyst Intern

Indian School of Business | 2023 – 2024

  • Performed spatial data analysis using ArcGIS & Python
  • Supported location intelligence and business decision systems

Data Science Intern

UL Technology Solutions | 2024

  • Built geospatial ML models for branch optimization and flood risk analysis

🧠 Skills & Expertise

πŸ€– AI / GenAI / LLMs

  • Large Language Models (GPT-4, Claude, LLaMA, Mistral)
  • RAG Systems (Retrieval, Chunking, Evaluation, Re-ranking)
  • Agentic AI (CrewAI, LangGraph, AutoGen)
  • Prompt Engineering & Optimization
  • Multi-Agent Orchestration

🧰 Frameworks & Tools

  • LangChain, LangGraph, CrewAI, HuggingFace
  • FastAPI, Flask
  • MongoDB, ChromaDB, Vector Databases

☁️ Cloud & DevOps

  • AWS (S3, EC2, Lambda)
  • Azure (Blob, ML tools)
  • Docker, Kubernetes (basic)
  • GitHub Actions CI/CD

πŸ“Š Data & ML

  • Python, SQL
  • Pandas, NumPy, Scikit-learn
  • PyTorch, TensorFlow

πŸ“„ Document AI

  • PaddleOCR, LayoutLMv3
  • AWS Textract
  • PDF parsing & structured extraction

Featured Projects

πŸ”Ή Customer Service Automation Agent

  • Multi-agent system automating policy update workflows
  • Built using CrewAI + Groq LLM + Pydantic validation

πŸ”Ή HR AI Chatbot

  • LLM-powered HR assistant with intent classification
  • Context-aware multi-agent response system

πŸ”Ή Flood Risk & Crop Yield Prediction

  • ML models using satellite data (Sentinel-1/2)
  • Deployed using Streamlit dashboard

πŸ”Ή Building Footprint Extraction (ESRI Collaboration)

  • Deep learning model for automated geospatial extraction

πŸŽ“ Education

M.Sc. Data Analytics & Geoinformatics
Kerala University of Digital Sciences (2022–2024)

B.Sc. Physics
University of Kerala (2019–2022)


πŸ“œ Certifications

  • IBM Data Science Professional Certificate
  • Google Foundations of Data Science
  • Python Programming (Udemy)

Interests

  • Agentic AI Systems
  • Enterprise RAG Applications
  • LLM Optimization
  • AI Automation for Real-world Systems

⭐ Always building production-grade AI systems that solve real problems

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