PERSONAL PORTFOLIO / GLOBAL DELIVERY

VarunInjarapu

AI Data Operations
Project Manager

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I lead global teams delivering multimodal AI training-data and LLM evaluation programs across voice, audio, video, and text. I connect workforce planning, vendor governance, quality oversight, and enterprise client delivery, translating stakeholder requirements into coordinated execution across specialist teams.

Explore my work
FIG. 01 / GLOBAL TEAM FOOTPRINT

Global teams. Coordinated delivery.

  • US
  • India
  • Europe
  • Japan
Illustrative team footprint · Not live tracking
$10M+AI data portfolio
95%On-time delivery
14Delivery vendors
40+Global field team

Client programs I’ve managed

AppleGoogleMetaJohnson & Johnson

01 / SELECTED OPERATIONS

AI data programs.
Delivery results.

My work spans training-data and evaluation delivery, global vendor operations, and enterprise transformation. Explore the scope I own and the results I help deliver.

01

MULTIMODAL DATA / TECH MAHINDRA

Multimodal training-data delivery

Led human-in-the-loop collection and annotation operations across 10+ concurrent voice, video, and text studies, aligning workforce plans, vendor throughput, quality metrics, and acceptance criteria.

15%improvement in data-acceptance rates

Voice programs: 70+ dialects · 10+ concurrent studies overall

Delivery breakdown
  • Designed collection-to-delivery operating workflows; translated Research, Product, and Engineering requirements into project scope, quality criteria, resource plans, and vendor handoffs.
  • Managed AI training-data and UX-research programs for client teams at Apple, Google, and Meta through Tech Mahindra.
  • Managed a $10M+ AI data and UX research portfolio, improving delivery efficiency by 40% through vendor governance, quality controls, and capacity planning.
02

FIELD OPERATIONS / TECH MAHINDRA

Global capacity & vendor governance

Governed 14 vendors and a 40+ person global field team through workforce planning, resource-utilization reviews, SLA tracking, and quality-assurance programs.

95%on-time delivery in collection programs

14 vendors · 40+ global field team

Delivery breakdown
  • Coordinate workforce plans, resource-utilization reviews, dependencies, and escalations across global data-collection teams.
  • Maintained GDPR and IRB documentation controls across vendor-led data collection and research delivery.
  • Achieved 95% on-time delivery across multilingual training-data and research work.
03

DIGITAL TRANSFORMATION / SYREN CLOUD

Supply-chain cloud transformation

Owned the SOW, ~$2M budget, resource plan, and delivery schedule for a three-phase cloud transformation spanning supply chain and logistics.

$2Mprogram budget owned

Johnson & Johnson client engagement · Three release phases

Delivery breakdown
  • Owned the SOW, budget, resource plan, launch coordination, and post-launch handoff for a three-phase transformation; delivered 95% of milestones on time.
  • Led rollout of a delivery dashboard that replaced approximately eight hours of manual status reporting per week.
  • Negotiated vendor renewals with 10% cost savings, approximately $60K annually, and reduced sprint rework by 20% through backlog and acceptance-criteria improvements.

EVALUATION DELIVERY / TECH MAHINDRA

Human feedback.
Coordinated delivery.

Lead a 75-person evaluation operation delivering human feedback to support reinforcement learning from human feedback (RLHF) for voice and audio AI systems.

Own workforce planning, quality-review coordination, and delivery against client requirements. This evaluation operation is separate from the 40+ person field team supporting data collection.

Workforce planningQuality-review coordinationClient delivery

DELIVERY CASE STUDIES

The decisions
behind delivery.

AI data programs move forward when people, priorities, and quality align. See how I lead global teams, shape human-in-the-loop workflows, and turn stakeholder requirements into delivery.

PROCESS → INTERNAL PRODUCT

Vendor invoicing.
Payment visibility.

Defined operational requirements and coordinated the launch of an internal vendor invoice and payment-management tool with Finance, Procurement, and delivery partners.

Translated operational requirements into repeatable SOPs and workflow controls for invoice submissions, balance tracking, payment-status visibility, and automated reminders. Owned requirements alignment, stakeholder coordination, and rollout.

Vendor submissionInvoice & balance trackingPayment reminders

LLM WORKFLOWS / INTERNAL ENABLEMENT

RFP automation.
Commercial delivery.

Owned business-side scoping and pilot coordination for an LLM-assisted multi-agent RFP parsing and proposal-drafting workflow, partnering with engineering on implementation. Reduced turnaround by 30%, with adoption across 40+ proposals in the first two quarters.

Developed scope, staffing models, implementation assumptions, and pricing inputs for 10+ enterprise AI and data-services bids; contributed to four new engagements totaling $3M+ in contract value.

Requirements parsingProposal draftingHuman review

02 / OPERATIONS LAB

From stakeholder priorities
to coordinated delivery.

Explore team handoffs, quality gates, and rework loops across voice, video, and text programs. Processing stages and review methods vary with project scope.

I design and manage the delivery workflow. These diagrams show how I organize global teams, define responsibilities, and govern handoffs across collection, annotation, QA, and engineering services. I own project planning, stakeholder alignment, vendor coordination, and escalations. Specialist teams carry out collection, processing, review, and testing.

FIELD EXECUTION → DATA OPERATIONS → ENGINEERING

Global data operations

Select any stageGuided tour · 01 / 11
DATA OPERATIONSProcessing stages depend on project scopeCOLLECTION & PARTNERSTESTING & DELIVERYPASSREWORK → PROCESSING TEAMTEST FINDINGS → QA FOLLOW-UP, IF REQUIREDHANDOFFREVIEWEDExplore Field capture: Voice · video · textField captureVoice · video · textExplore Vendor batches: Ownership & handoffVendor batchesOwnership & handoffExplore Data annotation: Context & meaningData annotationContext & meaningExplore Data labeling: Classes & attributesData labelingClasses & attributesExplore Data segmentation: Usable unitsData segmentationUsable unitsExplore AI-assisted QA: Automated checksAI-assisted QAAutomated checksExplore Manual QA: Human judgmentManual QAHuman judgmentExplore Acceptance gate: Criteria met?Acceptance gateCriteria met?Explore Dataset creation: Package & prepareDataset creationPackage & prepareExplore Engineering services: Testing & baselinesEngineering servicesTesting & baselinesExplore Client delivery: Close the loopClient deliveryClose the loop
Data & team handoff Rework / review feedbackIllustrative workflow · no live client data
SELECTED STAGE / 01Field capture

Voice · video · text

03 / PROJECT MANAGEMENT

End-to-end project
accountability.

I manage stakeholder decisions, scope, budgets, resources, risk, and delivery across AI data operations and enterprise programs.

MANAGEMENT DISCIPLINES

Select a discipline to explore my approach.

01 / STAKEHOLDER MANAGEMENT

Align the people who define success.

Align client, Product, Research, Engineering, Finance, and Procurement stakeholders on requirements, responsibilities, and delivery commitments.

  • Clarify decision owners and acceptance expectations.
  • Communicate scope, schedule, and quality trade-offs.
  • Escalate unresolved decisions with their delivery impact.
APPLIED TO AI PROJECT OPERATIONS

Translate product and research needs into data requirements and secure alignment across collection teams, vendors, reviewers, and engineering partners.

IN PRACTICE

Partnered with Finance, Procurement, and vendors to define and launch an internal invoice and payment-management tool.

TECH MAHINDRA / INTERNAL ENABLEMENT

04 / EXPERIENCE & CAPABILITIES

Experience behind
the execution.

From campaign delivery to enterprise transformation and global AI data programs. Employers and client engagements are identified separately below.

FIG. 04 / CAREER CONVERGENCEINTERACTIVE 3D
Select a layer or role

Current role first. Earlier roles follow beneath.

ROLE 01 / AI DATA OPERATIONSCURRENT ROLE

Tech Mahindra

Project Manager, AI Enablement

Nov 2022 to PresentBoston, MA

Client programs: Apple, Google & Meta

Lead global teams and enterprise client delivery across AI training-data and LLM evaluation operations, aligning stakeholder requirements, budgets, vendor capacity, and quality acceptance.

40%Improvement in delivery efficiency
75People in the evaluation operation
  • Manage a $10M+ AI training-data and UX-research portfolio across 10+ concurrent studies, including voice programs spanning 70+ dialects.
  • Lead a separate 75-person voice and audio evaluation operation, coordinating workforce plans, quality reviews, and human-feedback delivery supporting RLHF.
  • Govern 14 vendors and a 40+ person global field team through workforce planning, resource-utilization reviews, SLA tracking, and quality programs.
CAPABILITIES DEVELOPED
Human-in-the-loop operationsGlobal vendor governanceLLM evaluation coordinationQuality KPIs & acceptanceCapacity & RAID management
ACADEMIC FOUNDATION

M.S. in Project Management · Northeastern University · 2022

Boston, MA

Methods & tools across my delivery practice

Data operations

  • Human-in-the-loop data operations
  • LLM evaluation coordination
  • Human-feedback delivery supporting RLHF
  • Voice, video & text program delivery
  • Annotation & QA team coordination
  • Quality KPIs & acceptance criteria
  • Vendor throughput & SLA tracking
  • GDPR & IRB documentation

Program leadership

  • Workflow design, SOPs & playbooks
  • Agile / Scrum / Kanban
  • SOW & budget ownership
  • Workforce planning & utilization
  • Requirements & backlog prioritization
  • RAID & stakeholder management

Delivery & automation

  • Jira / Confluence / MS Project
  • Power BI / Tableau / Excel
  • Power Automate / Smartsheet
  • Salesforce CRM / Lucidchart / Notion
  • LLM workflow scoping & rollout
  • Enterprise bids & RFP delivery

OPEN TO OPPORTUNITIES

Your next big initiative.
My kind of challenge.

Great visions are easy. Scaling them globally without breaking the machine? That’s where I come in.

Exploring roles in AI data operations, project management, and enterprise delivery.

Get in touch Connect on LinkedIn
A GOOD CONVERSATION STARTS HEREinjarapuvarun789@outlook.com
MORE OF A PHONE PERSON?(857) 452-3599

Based in Boston, MA · Exploring US opportunities