# Gopalakrishna Maddipalli — Generative AI Engineer

> Portfolio of a Generative AI Engineer based in India, focused on production-grade RAG systems, multi-agent orchestration, and applied LLM engineering. His progression spans Junior CAD Engineer at Venusgeo Solutions and Research Analyst, Data Scientist, and AI/ML Engineer at SunRay Construction Solutions.

Figures on this site labelled "target" are project targets, not verified production results — see each case study for details.

## Projects
- [Construction Payment Risk Prediction](https://gopalakrishnagenai.in/projects/payment-risk): Prioritize construction payment-protection workflows before delay or escalation becomes harder to manage. (Machine Learning. Stack: Python, FastAPI, AWS, DataRobot, SHAP.)
- [Autonomous Work Order Intelligence & Operations Platform](https://gopalakrishnagenai.in/projects/multi-agent): An evidence-aware, multi-agent architecture for construction payment-protection operations — processing work orders through specialist agents for intake, research, evidence, and discrepancy detection, with controlled correction and human-in-the-loop escalation for complex cases. (Agentic AI. Stack: Microsoft Foundry, Python, FastAPI, MCP, AWS, Azure Container Apps.)
- [NTO Operations Copilot](https://gopalakrishnagenai.in/projects/nto-operations-copilot): Guide new Notice to Owner researchers through the complete operational process, retrieve work-order evidence, explain exceptions, and recommend the next approved action without replacing human verification. (Agentic AI. Stack: Microsoft Foundry, MCP, FastAPI, Next.js, AWS Lambda, Azure App Service.)
- [Construction Document Intelligence](https://gopalakrishnagenai.in/projects/document-ai): Extract structured, reviewable information from complex legal PDFs. (Document AI. Stack: Textract, PaddleOCR, spaCy, PostgreSQL, FastAPI.)
- [Lien Recommendation Engine](https://gopalakrishnagenai.in/projects/lien-engine): Recommend notices, deadlines, and the next appropriate legal action. (Machine Learning. Stack: Python, Machine Learning, Rules Engine, FastAPI.)
- [Construction Data Lakehouse](https://gopalakrishnagenai.in/projects/lakehouse): Create a governed source of truth for operational and executive analytics. (Data Engineering. Stack: PySpark, AWS Glue, Athena, Redshift, Power BI.)
- [AI Legal Assistant](https://gopalakrishnagenai.in/projects/legal-rag): Answer construction-law questions with grounded, source-aware retrieval. (Generative AI. Stack: LangChain, AWS Bedrock, FAISS, FastAPI.)
- [Claims & Contract Intelligence](https://gopalakrishnagenai.in/projects/claims): Analyze claims and contracts for obligations, risks, and missing evidence. (Document AI. Stack: OCR, Transformers, RAG, AWS.)
- [Explainable Payment Intelligence](https://gopalakrishnagenai.in/projects/explainable-risk): Turn payment predictions into clear, defensible business explanations. (Machine Learning. Stack: XGBoost, SHAP, LLMs, Power BI.)
- [Construction Compliance Copilot](https://gopalakrishnagenai.in/projects/compliance-copilot): Deliver end-to-end assistance across documents, deadlines, and communication. (Agentic AI. Stack: LangGraph, MCP, CrewAI, FastAPI.)

## Skills
- Models & Fine-Tuning: Llama 3, Qwen, DeepSeek, LoRA / QLoRA, Axolotl, Unsloth, Hugging Face, GPT-5-mini, DataRobot AutoML, SHAP, scikit-learn
- Inference & Optimization: vLLM, TensorRT-LLM, Ollama, AWQ, GGUF, GPTQ, FlashAttention
- Orchestration & Agents: LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, DSPy, Microsoft Foundry, MCP
- Vector Databases & RAG: Qdrant, Pinecone, Milvus, Chroma, Hybrid Search, RRF
- Engineering & Infrastructure: PyTorch, Python, FastAPI, Docker, Ray, Triton, CUDA, AWS / GCP, AWS S3, AWS Glue, Amazon Athena, AWS IAM, Amazon SageMaker, Amazon ECS, Amazon CloudWatch, AWS Lambda, API Gateway
- Frontend & Deployment: Next.js, React, TypeScript, Tailwind CSS, Azure Container Apps, GitHub Actions, OIDC, pytest

## Certifications
- Post Graduate Program in Artificial Intelligence and Machine Learning — McCombs School of Business, The University of Texas at Austin · Great Learning · Jan 2021
- Agent Architect — Founderz AI & Business School · Certificate of Completion · Sep 2026
- Agent Explorer — Founderz AI & Business School · Certificate of Completion · 2026
- Generative AI for Data Scientists — IBM · Coursera Specialization · Sep 2026
- Generative AI for Data Analysts — IBM · Coursera Specialization · Sep 2026
- Generative AI: Elevate your Software Development Career — IBM · Coursera · Sep 2026
- Statistical Methods for Decision Making — Great Learning · May 2020
- Machine Learning Engineering for Production (MLOps) Specialization — Coursera · Nov 2021
- Practical Data Science Specialization — Coursera · Sep 2021
- Neural Networks and Deep Learning — Coursera · Sep 2020
- Facial Expression Recognition with Keras — Coursera · Sep 2020
- Introduction to Explainable AI using LIME — Analyttica Datalab · Jul 2020
- Reinforcement Learning Explained — Microsoft · Jun 2020
- Building Conversational Experiences with Dialogflow — Coursera · Jun 2020
- Machine Learning Pipelines with Azure ML Studio — Coursera · Jun 2020
- Predictive Modelling with Azure Machine Learning Studio — Coursera
- SQL Tips, Tricks, & Techniques — LinkedIn Learning · Sep 2020
- Advanced SQL for Data Scientists — LinkedIn Learning · Sep 2020
- SQL: Data Reporting and Analysis — LinkedIn Learning · Sep 2020
- Learning SQL Programming — LinkedIn Learning · Aug 2020
- SQL Essential Training — LinkedIn Learning · Aug 2020
- Financial Risk Analytics — Great Learning · Apr 2020
- Introduction to R — Great Learning · Apr 2020
- Marketing and Retail Analytics — Great Learning · Apr 2020
- Data Visualization using Tableau — Great Learning · Apr 2020
- Statistics Foundations: 1 — LinkedIn Learning · Sep 2019
- Programming Foundations: Fundamentals — LinkedIn Learning · Sep 2019
- Introduction to Geometric Dimensioning and Tolerancing — LinkedIn Learning · Aug 2019

## API
- [/api/projects](https://gopalakrishnagenai.in/api/projects): all projects as JSON
- [/api/skills](https://gopalakrishnagenai.in/api/skills): all skill groups as JSON
- [/api/certifications](https://gopalakrishnagenai.in/api/certifications): all certifications as JSON
- Full docs: https://gopalakrishnagenai.in/api-docs
- Data handling: https://gopalakrishnagenai.in/security

## Contact
- Email: gopalgk53@yahoo.com
- Résumé: https://gopalakrishnagenai.in/Gopalakrishna_Maddipalli_CV.pdf
- Site: https://gopalakrishnagenai.in