Gaurav Ahuja

Product Manager

Gurugram, Haryana, India9 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI/ML with extensive cloud engineering experience.
Proven track record in deploying scalable MLOPS solutions.
Strong background in Kubernetes and cloud infrastructure management.

Stackforce AI infers this person is a Cloud Engineering and AI/ML expert with a focus on scalable solutions.

Contact

garv4179@gmail.com LinkedIn

Skills

Core Skills

MlopsAi ArchitectureCloud EngineeringKubernetes ManagementSite Reliability EngineeringNetwork Engineering

Other Skills

GenaiGoogle Cloud Platform (GCP)VertexaiPython (Programming Language)Large Language Models (LLM)EKSAKSTerraformDynamoDBPython librariesGrafanaPrometheusAzure DevOpsLinuxAWS

About

My Journey- Linux Engineer-> Network Engineer-> DevOps Engineer-> Sr Analyst 1 cloud engineering->AI/ML Computational Science Manager(LLM Architect)🧿🚀 Public Clouds: Gcloud,AWS, Azure, Digital Ocean Container Orchestration: Openshift(3.11,4.10) Kubernetes, Docker, Docker Swarm Operating Systems: - Linux (Centos and Ubuntu) DNS Management: Cloudflare & Route 53, cloudfront, GoDaddy Database- SQL, Nosql, RavenDB, mongodb System & Application Monitoring: Zabbix, Cloud watch, Nagios, Grafana, Datadog Infrastructure & Configuration Management: Ansible, Terraform Continuous Integration/Deployment: Jenkins, Gitlab, GitHub, teamcity, octopus Scripting Languages: Shell/bash Scripting, Python, Groovy web servers- Nginx, Apache2, wordpress Logs or Activities: - Rsyslog Other Tools- Jira, Confluence, Git, Wireshark, Apache, Nginx.Gitlab, Eks,Alb,ELB

Experience

9 yrs 9 mos

Total Experience

1 yr 1 mo

Average Tenure

11 mos

Current Experience

Accenture

AI/ML Computational Science Manager(LLM Architect)

Jun 2025 – Present · 11 mos · Gurugram · Hybrid

Public Cloud using- Google cloud(Vertex AI), AWS(Sagemaker, Bedrock)
Leading end-to-end development of enterprise MLOPS/GenAI solutions as AI Lead and Architect for a full-time client engagement.
Architecting and deploying production-grade LLM applications utilizing GenAI, LangChain, LangGraph and RAG frameworks.
Spearheading the design and implementation of Agentic AI systems to automate complex multi-step reasoning workflows.
Driving the technical solutioning and architecture design for RFPs to secure new high-value business contracts.
Managing the delivery lifecycle and operational performance for three concurrent client accounts as Delivery Manager.
Executing hands-on development across the full stack using Python and TypeScript to build scalable AI infrastructures.
Upskilling team on MLOPS/GenAI & Agentic AI

GenaiMLOpsGoogle Cloud Platform (GCP)VertexaiPython (Programming Language)Large Language Models (LLM)+1

Dxc technology

Senior Analyst 1 Cloud Engineering

Sep 2022 – Mar 2025 · 2 yrs 6 mos · Gurugram, Haryana, India · Remote

1. Deploying/configure and managing the multi nodes EKS/AKS Kubernetes cluster, using
AWS/Azure cli and yaml pipelines to make env automate.
2. Working on EKS/AKS K8’s cluster and maintaining for LLM models.
3. Working on VectorAI DB deployment using bedrock for advance indexing.
4. Working on Terraform create and build automate infra and deployment.
5. Working on DynamoDB,AI power Apps and RAG models.
6. Working on LLM to solve the NLP tasks related to text genration, translation.
7. Creating and deploying multi steps MLOPS pipelines to automatically retain and
deploy models effecinetly.
8. Working on python libraries numpy, pandas,tensorflow,Scikitlearn,Matploitlib,Scipy,Keras,pytorch.
9. Working Monitoring toolsGrafana,Promethous andalertmanagertocheck and
monitorthe health status of everymodel and kubernetes nodes.
10. Working on langchain .
11. Working on S3, Cloudwatch, cloudtrail, cloudformation,WAF, SQS, SNS, IAM
polices, networking, VPC peering, bedrock,Opensearch, azure open AI
12. Working on GitHub copilot LLM research for project and do auto correction, auto completion etc.
13. Using llama models(Llama2,llama3) under bedrock to create text and images.