Vivek Garhewal — Associate Partner

Problem Solver | AI and Data Intelligence Leader | Solution Architect | AI Strategist Seasoned technology leader and architect with deep expertise in building and scaling enterprise AI solutions using Azure OpenAI, SLMs, Agentic Frameworks, Databricks, and Synapse Analytics. I specialize in designing advanced AI/ML pipelines for document intelligence, retrieval-augmented generation (RAG), dynamic multi-format file processing, and knowledge graphing with Neo4j. As a solution architect, I lead the end-to-end design of intelligent agent-based systems that adaptively manage complex, large-scale data across diverse formats. My solutions are engineered for performance, cost-efficiency, and enterprise scalability, blending cutting-edge models with robust data architectures and dynamic orchestration flows. I bring a strong foundation in Data Analytics and ETL, leveraging SQL, Python, and Azure Data Services to extract insights, optimize pipelines, and drive informed decisions across ERP and enterprise datasets. Alongside strategic leadership, I have deep hands-on expertise in delivering production-grade, scalable code — transforming innovative ideas into reliable, maintainable systems. I specialize in taking proof-of-concepts (POCs) and research-driven initiatives from ideation to production, delivering real-world solutions that are actively used and trusted by clients in live environments. In leadership roles, I: * Build and mentor high-performing, cross-functional AI and data teams * Translate vision into strategic roadmaps and execution plans * Champion a culture of innovation, ownership, and continuous improvement * Collaborate across business, product, and engineering to align on outcomes Driven by a passion for emerging technologies and AI-driven transformation, I thrive in fast-paced, innovation-first environments — architecting intelligent systems that solve complex problems and deliver measurable business impact.

Stackforce AI infers this person is a SaaS and Fintech expert, specializing in AI-driven enterprise solutions.

Location: Bengaluru, Karnataka, India

Experience: 12 yrs 6 mos

Skills

Artificial Intelligence (ai)
Technical Solution Design

Career Highlights

Led AI initiatives for enterprise-grade solutions at EY.
Achieved 70% improvement in ETL efficiency through innovative design.
Integrated AI with ERP systems, enhancing risk mitigation accuracy.

Work Experience

EY

Assistant Director (6 yrs 6 mos)

Datametica Solutions Private Limited

Product Specialist (5 mos)

Encora Inc.

GSuite Developer @ Google (1 mo)

HCLSoftware

Lead Software Engineer (2 yrs)

Hewlett-Packard

Software Developer (2 yrs 11 mos)

Technosoft Consultancy Solutions (P) Ltd.

Assistant System Engineer / JRF (8 mos)

Education

Master of Computer Applications (MCA) at National Institute of Technology Durgapur

Vivek Garhewal

Associate Partner

Bengaluru, Karnataka, India12 yrs 6 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led AI initiatives for enterprise-grade solutions at EY.
Achieved 70% improvement in ETL efficiency through innovative design.
Integrated AI with ERP systems, enhancing risk mitigation accuracy.

Stackforce AI infers this person is a SaaS and Fintech expert, specializing in AI-driven enterprise solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Technical Solution Design

Other Skills

Generative AIAzure Data FactoryPyTorchProblem SolvingNumPyPySparkAzure Service BusSQL AzureMatplotlibADLSAzure Logic AppsAzure DatabricksTensorFlowChatGPTAzure Data Lake

About

Experience

12 yrs 6 mos

Total Experience

2 yrs 6 mos

Average Tenure

6 yrs 6 mos

Current Experience

Ey

Assistant Director

Dec 2019 – Present · 6 yrs 6 mos · Bengaluru, Karnataka, India

Led AI initiatives for EY’s flagship products, including Internal Control Testing(ICT), Virtual Internal Auditor (VIA) and Risk.AI, delivering enterprise-grade AI solutions for risk assessment, compliance automation, and data analytics across multiple clients.
Directed the AI team for Risk.AI, overseeing the development of AI services, public API integrations, and client-specific solutions that enhanced audit automation and improved risk analytics accuracy.
Architected and deployed AI and data solutions leveraging Azure OpenAI, LangChain, PySpark AI, Databricks, and Python REPL, transitioning projects from proof-of-concept to scalable production environments for both structured and unstructured data.
Designed MLOps and data pipelines using Azure Data Factory, Databricks, Function Apps, Logic Apps, and Service Bus, achieving 70% improvement in ETL and analytical workflow efficiency.
Integrated AI with ERP systems (SAP, Oracle) to automate control testing, compliance validation, and risk assessment, increasing risk mitigation accuracy by up to 90%.
Supported Internal Control Testing and Control Assessment through AI-driven automation for RACM (Risk and Control Matrix) mapping, Process–Risk–Control to Regulation alignment, and obligation-to-clause mapping.
Implemented AI-on-DB frameworks for the secure onboarding of enterprise databases, enabling compliant AI-based querying across cloud and on-premise client environments.
Utilized graph databases (Neo4j) for relationship discovery and AI-driven Q&A, improving precision and contextual depth in compliance and regulatory insights.
Led and mentored a team of 25+ engineers, managing solution architecture, delivery excellence, and people development, while promoting technical innovation and collaboration.
Actively participated in innovation programs, including Google Hackathons and EY internal hackathons, developing AI prototypes and automation accelerators that enhanced enterprise capabilities.