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Akshat shrivastava

GenAI Engineer @ Autozone | Data Science, GCP, Azure, Gen AI, LLM, Machine learning, NLP, AWS

Gurugram

4+ years of work experience

AutoZone
Apr 20266 mosPresent

Hybrid

Working on building and deploying AI agents and conversational systems using Google Cloud Vertex AI, Dialogflow CX, LangGraph, and Agentspace. Experienced in integrating Anthropic Claude models for advanced reasoning, and deploying scalable microservices on Cloud Run. Also implemented Infobip omnichannel solutions (WhatsApp) to deliver customer-facing AI assistants across multiple platforms. AI & ML: Vertex AI, Claude, LangGraph, Agent Orchestration Conversational AI: Dialogflow CX, Agentspace, Generative Fallback, Multimodal Agents Cloud & Infra: Google Cloud Run, BigQuery, Serverless AI Deployments Customer Engagement: Infobip CPaaS, WhatsApp
AutoZone
Jan 20251 yr 3 mosMar 2026

Remote

- Built and deployed AI agents using Vertex AI, LangGraph, and Dialogflow CX - Developed conversational AI systems with generative fallback, multimodal interactions, and agent orchestration - Integrated Anthropic Claude models for advanced reasoning and intelligent workflow automation - Deployed scalable serverless AI microservices on Google Cloud Cloud Run and integrated analytics with BigQuery - Implemented omnichannel customer engagement solutions using Infobip and WhatsApp integrations - Designed AI assistants capable of handling customer support and enterprise automation use cases across multiple platforms
Amlgo Labs
Apr 20249 mosDec 2024

Gurugram, Haryana, India

• Developed a Conversational Database AI Bot integrating AWS S3, AWS RDS, Vanna AI, Qdrant, and Ayshcn Architecture to optimize query performance and scalability. • Utilized Azure Open AI and Lang Chain to translate natural language queries into SQL, reducing query resolution time by 35%. • Implemented a Retrieval-Augmented Generation (RAG) system for efficient document processing, reducing processing time by 40% and boosting retrieval accuracy by 25%.
KANINI
Sep 20221 yr 8 mosApr 2024

Delhi, India

• Developed and deployed Azure Function API for project management automation, achieving 70-80% accuracy with NLP metrics. • Integrated summarization solution with EHR systems, reducing administrative tasks by 40%. • Created Azure Open AI-based solution for summarizing PMO documentation, doctor’s notes, and medical reports.
Apr 20226 mosSep 2022

United Arab Emirates

• Spearheaded data analysis, trend analysis, and visualization using machine learning skills for Digital Transformation and Strategy at Solarize Digitech. • Implemented innovative data-driven solutions to optimize digital signage strategies and enhance customer engagement. • Collaborated with cross-functional teams to develop cutting-edge analytics tools and drive business growth.

Akshat’s AI Stack

antigravity
antigravity
claude
claude
elevenlabs
elevenlabs
meta
meta
notion
notion
obsidian
obsidian

Education

Great Lakes Institute of Management Gurgaon

Postgraduate Program, Data Science| AI | ML | Statistics

Great Lakes Institute of Management Gurgaon

20222022
Jiwaji University

Bachelor of Commerce - BCom, Business/Commerce, General

Jiwaji University

20183 yrs2021

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Headline

GenAI Engineer @ Autozone | Data Science, GCP, Azure, Gen AI, LLM, Machine learning, NLP, AWS

About

As a GenAI Engineer, I specialize in deploying scalable AI solutions that deliver measurable business impact—including a 20% reduction in data processing time and a 15% improvement in model accuracy. I have successfully led 6+ end-to-end AI/ML projects across the automotive, healthcare, finance, and consulting sectors. My expertise spans: 1. Generative AI & LLMs: OpenAI API, LLaMA, Mistral, Azure AI Services (Azure OpenAI, Cognitive Services, Azure Chatbot) 2. Advanced Techniques: Retrieval-Augmented Generation (RAG), Prompt Engineering, Lang Chain, Vector Databases, Vanna AI, Langgraph. 3. Model Optimization & MLOps: Fine-tuning, quantization, and model lifecycle management using Docker and Azure MLOps. 4. Production Deployment & Scalability: End-to-end deployment of AI solutions with Docker services, CI/CD pipelines, cloud scalability, and production monitoring. Holding a Postgraduate degree in Data Science from the Great Lakes Institute of Management, I am passionate about driving business value through AI innovation, supported by a strong background in research and technical mentorship.

Location

Gurugram

AI stack

antigravity

claude

elevenlabs

meta

notion

obsidian

Work experience

System Engineer GEN-AI at AutoZone, Apr 2026 - Present · 6 mos, Hybrid, Working on building and deploying AI agents and conversational systems using Google Cloud Vertex AI, Dialogflow CX, LangGraph, and Agentspace. Experienced in integrating Anthropic Claude models for advanced reasoning, and deploying scalable microservices on Cloud Run. Also implemented Infobip omnichannel solutions (WhatsApp) to deliver customer-facing AI assistants across multiple platforms. AI & ML: Vertex AI, Claude, LangGraph, Agent Orchestration Conversational AI: Dialogflow CX, Agentspace, Generative Fallback, Multimodal Agents Cloud & Infra: Google Cloud Run, BigQuery, Serverless AI Deployments Customer Engagement: Infobip CPaaS, WhatsApp

ASE GEN-AI at AutoZone, Jan 2025 - Mar 2026 · 1 yr 3 mos, Remote, - Built and deployed AI agents using Vertex AI, LangGraph, and Dialogflow CX - Developed conversational AI systems with generative fallback, multimodal interactions, and agent orchestration - Integrated Anthropic Claude models for advanced reasoning and intelligent workflow automation - Deployed scalable serverless AI microservices on Google Cloud Cloud Run and integrated analytics with BigQuery - Implemented omnichannel customer engagement solutions using Infobip and WhatsApp integrations - Designed AI assistants capable of handling customer support and enterprise automation use cases across multiple platforms

Data Scientist at Amlgo Labs, Apr 2024 - Dec 2024 · 9 mos, Gurugram, Haryana, India, • Developed a Conversational Database AI Bot integrating AWS S3, AWS RDS, Vanna AI, Qdrant, and Ayshcn Architecture to optimize query performance and scalability. • Utilized Azure Open AI and Lang Chain to translate natural language queries into SQL, reducing query resolution time by 35%. • Implemented a Retrieval-Augmented Generation (RAG) system for efficient document processing, reducing processing time by 40% and boosting retrieval accuracy by 25%.

Developer Data Scientist at KANINI, Sep 2022 - Apr 2024 · 1 yr 8 mos, Delhi, India, • Developed and deployed Azure Function API for project management automation, achieving 70-80% accuracy with NLP metrics. • Integrated summarization solution with EHR systems, reducing administrative tasks by 40%. • Created Azure Open AI-based solution for summarizing PMO documentation, doctor’s notes, and medical reports.

Data & Analytics at Solarize Digitech LLC, Apr 2022 - Sep 2022 · 6 mos, United Arab Emirates, • Spearheaded data analysis, trend analysis, and visualization using machine learning skills for Digital Transformation and Strategy at Solarize Digitech. • Implemented innovative data-driven solutions to optimize digital signage strategies and enhance customer engagement. • Collaborated with cross-functional teams to develop cutting-edge analytics tools and drive business growth.

Education

Postgraduate Program, Data Science| AI | ML | Statistics, Great Lakes Institute of Management Gurgaon

Bachelor of Commerce - BCom, Business/Commerce, General, Jiwaji University