Akshay Sharma

Associate Consultant

Gurugram, Haryana, India11 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in Generative AI and MLOps.
Led impactful AI projects in healthcare.
Strong background in cloud computing and automation.

Stackforce AI infers this person is a Healthcare-focused AI and Cloud Computing Specialist.

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Skills

Core Skills

Machine LearningGenerative AiCloud OperationsCloud Computing

Other Skills

Gen aiAWS BedrockLarge Language Models (LLMs)MLOpsPrompt EngineeringData IntegrationCI/CDAWS SageMakerAPI GatewayCloudWatchX-RayData Center OperationsPatch ManagementAWSAutomation

About

As a Senior Consultant at Deloitte with over two years of experience in machine learning, Generative AI (GenAI), and MLOps, I specialize in developing cloud-based AI solutions that transform how teams interact with data. Currently, I lead efforts on a GenAI-powered assistant for Real-World Evidence (RWE) in healthcare, leveraging AWS Bedrock and Large Language Models (LLMs) to enable natural language exploration and summarization of clinical datasets. My work integrates advanced prompt engineering, data integration, and scalable cloud architectures to deliver impactful business outcomes. Drawing from multiple years of experience with machine learning pipelines, cloud platforms (AWS, GCP), and Kubernetes, I focus on delivering secure, scalable, and production-ready AI systems. My expertise in GenAI includes hands-on work with LLMs like Claude and Titan and deploying APIs in cloud-native environments. Passionate about enabling organizations to harness the power of AI, I strive to bridge the gap between complex data systems and actionable insights through innovative and collaborative solutions.

Experience

11 yrs

Total Experience

3 yrs 8 mos

Average Tenure

5 yrs 4 mos

Current Experience

Deloitte

2 roles

Senior Consultant

Promoted

Jun 2023 – Present · 2 yrs 11 mos

Project: GenAI-Based Real-World Evidence Assistant (AWS)
Role: Machine Learning Engineer | GenAI | MLOps | Cloud Architect
Platform: AWS
Designed and deployed a Generative AI–powered assistant to simplify how healthcare and life sciences teams access and analyze Real-World Evidence (RWE) datasets. The solution leveraged Large Language Models (LLMs) via AWS Bedrock to enable natural language Q&A, contextual summarization, and faster insights from complex clinical and observational data.
Key Contributions:
Prompt Engineering: Tuned LLM prompts (Claude, Titan) to support query answering, summarization, and exploration of health data.
Data Integration: Implemented RAG (Retrieval-Augmented Generation) patterns connecting data from S3, Redshift, and RDS into the GenAI workflow.
MLOps & Automation: Built CI/CD pipelines using SageMaker Pipelines, Model Registry, CodePipeline, and CodeBuild for model testing, validation, and deployment.
Cloud-Native Deployment: Delivered GenAI microservices on ECS Fargate and SageMaker Endpoints, secured with IAM, KMS, and private VPCs, and exposed through API Gateway + Lambda.
Monitoring & Governance: Deployed CloudWatch, X-Ray, and SageMaker Model Monitor for performance, cost, latency, and data drift tracking.
Collaboration: Partnered with data science, engineering, and compliance teams to ensure adherence to healthcare regulations.
Impact:
Reduced manual query/reporting time by ~60% through GenAI-driven conversational interfaces.
Enabled non-technical users to access insights from RWE datasets without SQL/BI expertise.
Delivered a scalable, secure, and explainable AI solution aligned with healthcare-grade compliance.

Gen aiAWS BedrockLarge Language Models (LLMs)MLOpsCloud ComputingPrompt Engineering+8

Consultant

Jan 2021 – Jun 2023 · 2 yrs 5 mos

Led a team of three consultants in managing data center operations for E. & J. Gallo, a leading US wine manufacturer.
Pioneered a bi-weekly patch cycle for over 600 production servers, enhancing system compliance and uptime.
Implemented Altiris for automated patching, significantly reducing manual workload and operational risks.
Supported hybrid infrastructure by integrating AWS-based operations, ensuring seamless service delivery.

Data Center OperationsPatch ManagementAWSAutomationCloud Operations

Oracle

Application Developer

Aug 2018 – Jan 2021 · 2 yrs 5 mos · Bengaluru Area, India · On-site

Application Developer
Oracle HealthCare Business Unit (HSGBU) | Aug 2018 – Jan 2021 | Bengaluru, India
As part of Oracle’s HealthCare Business Unit, I worked on developing, automating, and migrating healthcare applications to modern cloud platforms. My focus was on cloud migration, Oracle product support, automation, and database administration, ensuring that healthcare applications were reliable, scalable, and compliant with performance and regulatory needs.
I played a key role in executing lift-and-shift migrations from legacy on-premises servers to Oracle Cloud Infrastructure (OCI), which improved scalability and reduced infrastructure management overhead. I supported a wide range of Oracle products, including Oracle Cloud, Oracle Data Integrator, Oracle Business Intelligence, Oracle Fusion, ClinicalOne, DMW, and mHealth, deploying and maintaining them across internal environments for engineering and testing teams.
To streamline delivery, I developed Python 2 automation scripts for application installations and system management, significantly reducing manual work and deployment times. I also gained hands-on expertise in installing and administering Oracle R12C and R19C databases, ensuring secure, optimized operations for critical healthcare applications.
Beyond technical implementation, I collaborated closely with performance engineering and infrastructure teams to build tools and workflows that enhanced application reliability, supported healthcare research, and enabled smooth testing cycles. My work ensured Oracle HealthCare solutions could handle complex medical data and research requirements efficiently.
Skills: Oracle Cloud (OCI) · Oracle Fusion · Oracle Data Integrator · Oracle BI · ClinicalOne · DMW · mHealth · Oracle Database R12C/R19C · Python (Automation) · Cloud Migration · AWS · Docker · Jenkins · Bamboo · GitHub

Oracle CloudCloud MigrationAutomationDatabase AdministrationPythonCloud Computing

Ibm india private limited

Technical Services Specialist

May 2015 – Aug 2018 · 3 yrs 3 mos · Bangalore

Technical Services Specialist
IBM India Private Limited | May 2015 – Aug 2018 | Bengaluru, India
I began my career with IBM as part of the cloud operations team, where I gained foundational experience in cloud computing, virtualization, and automation. I started with IBM Cloud Orchestrator, which introduced me to core cloud concepts, and underwent six months of training in VMware vSphere 6, building strong expertise in virtualization and data center management.
Over time, I expanded my scope by working with IBM Cloud Private, a Kubernetes-based solution, where I learned container orchestration and deployment practices. I also gained hands-on experience with Docker for containerization and Chef for automation and configuration management. During this tenure, I was introduced to Git, which became central to version control in my projects.
As a Technical Services Specialist (equivalent to Senior System Engineer), my role included supporting private and hybrid cloud-based solutions for IBM clients, ensuring smooth deployments, system reliability, and scalable infrastructure. I actively contributed to automation initiatives, containerized deployments, and hybrid cloud integrations, which strengthened my expertise in DevOps practices and cloud-native architectures.
Skills: IBM Cloud Orchestrator · IBM Cloud Private (Kubernetes) · VMware vSphere 6 · Docker · Chef · Git · Jenkins · OpenStack · Cloud Computing · Configuration Management · AWS · DevOps · System Engineering

Cloud ComputingVirtualizationAutomationKubernetesDockerDevOps+1