AI Developer & DevOps Engineer with 10+ years of experience building secure, scalable cloud-native solutions on Microsoft Azure. Specialized in AI agents, intelligent automation, and ML-driven systems, combined with strong expertise in Java 17, Spring Boot, and Python. Proven track record of designing and deploying AI-powered microservices, document classification pipelines, and agent-based workflows integrated with Azure services (AKS, App Service, Key Vault, Azure AI). Strong background in DevOps, SecOps, and observability, delivering reliable, production-ready systems with a focus on performance, security, and business impact.…

GAURAv Singh

AI Developer & DevOps Engineer with 10+ years of experience building secure, scalable cloud-native solutions on Microsoft Azure. Specialized in AI agents, intelligent automation, and ML-driven systems, combined with strong expertise in Java 17, Spring Boot, and Python. Proven track record of designing and deploying AI-powered microservices, document classification pipelines, and agent-based workflows integrated with Azure services (AKS, App Service, Key Vault, Azure AI). Strong background in DevOps, SecOps, and observability, delivering reliable, production-ready systems with a focus on performance, security, and business impact.…

Available to hire

AI Developer & DevOps Engineer with 10+ years of experience building secure, scalable cloud-native solutions on Microsoft Azure. Specialized in AI agents, intelligent automation, and ML-driven systems, combined with strong expertise in Java 17, Spring Boot, and Python. Proven track record of designing and deploying AI-powered microservices, document classification pipelines, and agent-based workflows integrated with Azure services (AKS, App Service, Key Vault, Azure AI). Strong background in DevOps, SecOps, and observability, delivering reliable, production-ready systems with a focus on performance, security, and business impact.

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Skills

Experience Level

Java
Expert
Spring
Expert
Docker
Expert
Kubernetes
Expert
Azure
Expert

Language

English
Advanced

Work Experience

Senior DevOps & SecOps Engineer
October 1, 2021 - Present
Onboarded data sources to Microsoft Sentinel, authored KQL analytics/hunts, and built Logic Apps (SOAR) to cut MTTR and raise detection quality. Implemented secure environment with IaC (Azure/Bicep-ARM) and DevSecOps practices; led CI/CD and cloud-native tooling.
Java Backend / Spring Boot Developer
October 1, 2014 - May 1, 2021
Built enterprise Java 8 back-ends (Lambdas, Streams, JPA/Hibernate), performed performance tuning, optimized SQL queries (Oracle/MySQL), implemented REST/SOAP services, Servlets/JSP, and Spring Boot microservices; designed secure endpoints.
Software Engineer / IVR & Web Services
April 1, 2013 - September 1, 2014
Implemented Servlets/JSP and REST/SOAP integrations on Tomcat-based platform; optimized queries for Oracle/MySQL; contributed to backend web services.
IVR Applications Support
June 1, 2010 - June 1, 2011
End-to-end IVR application support: monitoring, incident resolution, and change management to ensure high availability.

Education

at Uttar Pradesh Technical University (UPTU), Mathura
January 11, 2030 - January 1, 2009

Qualifications

Industry Experience

Software & Internet, Professional Services, Education, Telecommunications, Other
    paper Chat Bot

    built an end-to-end AI analytics chatbot with a Vue.js front end and a Python/FastAPI backend, enabling users to ask complex, multi-step questions over structured business data and receive explainable, validated answers.

    What users can do

    Business users can type questions like:

    “Show top donors by state, compare last 90 days trend, and explain the impact of event participation.”
    The system converts these into structured steps, runs the required data queries, and returns a concise answer with supporting evidence and a confidence score.

    Front end (Vue.js)

    Modern chatbot UI with:

    Suggested queries / quick actions

    Alerts and insights panel (e.g., engagement anomalies, recency risks)

    Chat history and session-based follow-ups

    Dashboard-style tabs for overview, trends, and KPIs

    Integrates securely with backend APIs to display results, citations, and validation score.

    Backend (Agentic QA Pipeline)

    Query Splitter: Breaks complex prompts into sub-questions, supports conversation memory for follow-up queries.

    Orchestrator: Executes each step (SQL + optional semantic retrieval), manages dependencies, aggregates results.

    Compiler: Produces a clear final response from intermediate outputs.

    Validator: Verifies answer consistency and produces a validation score to reduce hallucinations.

    Tech stack & deployment

    Vue.js (frontend), Python + FastAPI (backend)

    OpenAI API, Hugging Face embeddings, LangChain for orchestration and retrieval

    Containerized with Docker, deployed on Azure with scalable infrastructure (including AKS for orchestration).

    Business value

    Enables self-service analytics through natural language

    Provides traceable, reliable answers (steps + evidence + score)

    Scales for enterprise use and future integration with CRM/BI systems