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Neal G.

AI and Data Science , Information Technology , Operations

call   (214) GO-RELAY / (214) 467-3529

email   Careers@RelayHumanCloud.com

home   Ahmedabad, India


SKILLS

  • Advanced Excel
  • PostgreSQL
  • Power BI
  • SQL
  • Python
  • Pandas
  • NumPy
  • pgvector 
  • Neo4j
  • MySQL 
  • AWS Lambda 
  • S3
  • ECR
  • API Gateway
  • Modal
  • RAG Architecture 
  • GraphRAG
  • OpenAI APIs
  • Embedding Models (Nomic-Embed-Text) 
  • LLMs (Qwen, Mistral)
  • Microsoft AutoGen
  • MCP (Model Context Protocol) 
  • LlamaIndex
  • Flask
  • FastAPI
  • REST APIs
  • Scikit-Learn
  • Ensemble Models 
  • Model Evaluation Metrics

EDUCATION

Master of Technology in Mechanical Design

Pandit Deendayal Petroleum University (2020)

Bachelor In Mechanical Engineering

Ahmedabad Institute of Technology (2017)


Extraverted Introverted Intuitive Observant Thinking Feeling Judging Prospecting

PROFESSIONAL SUMMARY

Azure AI Foundry Engineer with hands-on experience designing and deploying scalable generative AI platforms using graph-based RAG, agentic AI systems, and cloud-native architectures. Strong expertise in document intelligence, LLM orchestration, hybrid retrieval pipelines, and evaluation frameworks to ensure accuracy, explainability, and reliability of AI outputs. Proven ability to build end-to-end AI solutions including ingestion, retrieval, reasoning, and visualization layers using Azure, AWS, and open-source ecosystems. Experienced in developing agent-driven workflows, backend APIs, and data intelligence platforms that translate complex enterprise data and documents into production-ready AI applications.

PROFESSIONAL EXPERIENCE

AI Engineer

Z21 Tech | India | Dec 2024 – Feb 2026

  • Designed and implemented an end-to-end document intelligence platform using graph-based RAG to transform complex enterprise documents into citation-backed AI knowledge assets.
  • Built scalable ingestion and retrieval pipelines using AWS Lambda, API Gateway, and ECR with GPU-accelerated inference on Modal to deliver low-latency AI responses.
  • Integrated local LLMs and third-party models including GPT-4, Ollama, and Hugging Face to enable flexible, client-specific AI workflows.
  • Implemented hybrid retrieval using PostgreSQL with pgvector and Neo4j to improve contextual accuracy in GraphRAG pipelines.
  • Established evaluation pipelines using F1 score, retrieval similarity, and generation metrics to ensure response accuracy and explainability.
  • Applied structured prompt engineering techniques including role prompting, few-shot prompting, and step-wise reasoning to produce reliable LLM outputs.
  • Developed a natural-language data chat platform that auto-generated SQL queries and interactive visualizations for non-technical users.
  • Led backend development using Flask and REST APIs to enable seamless communication between AI services and front-end applications.
  • Built agent-based orchestration using LlamaIndex routing and MCP servers to support document intelligence, data chat, and third-party tool integrations.
  • Developed an agentic automation system using Microsoft AutoGen and Streamlit to automate solution generation, execution, and testing with full auditability.

Data-AI Intern

Prowess Consulting LLC | India | Sep 2024 – Nov 2024

  • Built a scalable web data collection system capable of crawling 6,000+ banking websites with pause, resume, and fault-tolerant execution.
  • Developed a modular analytics framework to process 28 years of credit union financial data for competitive benchmarking and insight generation.
  • Integrated generative AI into analytics workflows to perform sentiment analysis and topic modeling on unstructured datasets.