Gaurav Pawar

Product Operations Manager, AI Data Foundations @ Parspec

• MBA (EPGP), IIM Nagpur • B.Tech Computer Science

Enterprise AI Foundations · Leadership Dossier

Operational Governance for Trillion-Parameter AI.

In the enterprise deployment of foundational models, technical capability is rarely the bottleneck—proprietary ground-truth integrity and high-throughput data governance are. I lead AI data foundations, multi-agent QA pipelines, and blind-set architectures that convert raw model capabilities into defensible enterprise software.

Review Experience & Lineage ↓

Operating Lineage:

Parspec · Rippling · Papaya Global · Amazon · Hibernate Tech (~100 people)

1.5M+

Governed Data Points

62.4%

TPD Latency Reduction

846 hrs

Manual Effort Avoided

0.4%

Rework Rate (<5% SLA)

~100

Team Scaled (Founding CEO)

01 / DISCIPLINE

Provenance Over Preference

A standard you cannot measure is an opinion. Production model evaluation must walk back to an immutable task, vertical, and ground-truth split.

02 / RIGOR

Subtraction as Strategy

Cutting the Central Data Repository PRD from 40 to 12 pages eliminated scope creep, skipped redundant SSO layers, and accelerated VPC rollout.

03 / INTEGRITY

Air-Gapped Blind Sets

31% of data held in strict isolation with zero edges to training weights. If blind data leaks into model training, evaluation becomes fiction.

04 / EFFICIENCY

Prioritization Beats Headcount

High-throughput multi-agent sampling and automated resolution services saved 4.8 person-months without hiring additional reviewers.

Architectural Evidence

Production AI Systems & Case Studies

Six foundational systems engineered to transform ad-hoc annotation habits into auditable, high-throughput enterprise infrastructure.

Ground-Truth Infrastructure

Central Data Repository (CDR)

Consolidated annotation data across seven AI flows into a unified catalog. Replaced scattered Drive folders and S3 prefixes with a VPC-gated registry featuring project codenames and blind-plane header isolation.

Scale: 1.5 Million+ data points governed; 44 blocking findings logged & remediated.

FastAPI htmx PostgreSQL AWS S3

Multi-Agent Orchestration

Agentic QA & Resolution Loop

Replaced full manual human review passes with an automated multi-agent verification pipeline. Uses 10% daily random sampling with automated rework ticket generation for batches scoring under 95%.

Efficiency: 62.4% speed up; 846 hours avoided; rework held at 0.4%.

Multi-Agent Python Sampling Design Jira API

Evaluation Rigor

Blind-Set Architecture & Taxonomy

Created a statistically defensible blind plane holding 2,095 tasks (31% of dataset) constrained by 68 valid MEP vertical taxonomy pairs. Enforces strictly zero data contamination into model training weights.

Integrity: 100% Traceability; 28 hrs manual tagging saved; surfaced 29 missing source PDFs.

Taxonomy Gating Python Skill Reconciliation

Multimodal Decision Support

Sales Call Copilot (Chrome MV3)

Sole architect & builder. Manifest V3 extension capturing live meeting audio via offscreen document tabCapture, streaming 15-second audio chunks to Gemini Flash for real-time tactical objection assistance.

Throughput: 30s auto-suggest cadence; visible on-screen UI maintaining professional compliance.

Chrome MV3 tabCapture Gemini Flash Offscreen Doc

Benchmarking & Auditing

17.3K Accuracy Evaluation Suite

Designed a 15-bucket evaluation taxonomy with mechanical gating rules to eliminate subjective reviewer bias. Engineered an offline self-contained dashboard enabling dynamic strictness modulation (80.6% ↔ 89.2%).

Scale: 17,343 row pairs evaluated; mechanical gates eliminate reviewer variance.

Vanilla JS Python ETL Embedded JSON

Cloud Infrastructure Reliability

S3 Migration & Drift Detection

Executed zero-loss streaming multipart migration of 2,551 legacy assets from Google Drive to S3. Built an append-only JSONL change log and automated weekly integrity diff jobs to prevent duplicate drift.

Reliability: 2,551 files migrated in 4 days with zero loss; eliminated manual backups.

Python boto3 S3 Versioning CloudTrail Diff Engine

C-Suite Economic Model

Enterprise Labor Avoidance Modeling

When Gaurav implemented his 62.4% TPD latency reduction and agentic QA loops at Parspec, 846 hours of human annotation effort were avoided in a single quarter. Calculate what this operational leverage saves your organization annually:

Annotation & Review Team Headcount 16 Reviewers

Fully-Loaded Hourly Operating Cost $32 / hr

$223,641

Projected Annual Savings

Annual Effort Avoided 6,988 Hours

Throughput Acceleration 2.66x Faster

Rework Error Target 0.4% (Governed)

Executive Leadership Lineage

Career Trajectory & Operational Scale

Nine years spanning venture founding, Amazon scale, high-growth unicorn operations at Papaya Global and Rippling, and AI data foundations at Parspec.

APR 2025 – PRESENT

Parspec

Product Operations Manager, AI Data Foundations

1.5M+ points in CDR, 62.4% TPD latency cut, and air-gapped blind evaluation set.

2023 – 2024

Rippling

Operations Lead · Workforce & Payroll

Capacity planning, queue prioritization, and 25% TAT reduction without adding headcount.

2022 – 2023

Papaya Global

Operations Lead · Global Payroll & Compliance

30% TAT cut across 20+ countries, zero-defect statutory compliance, product-ops bridge.

2020 – 2022

Amazon

Worldwide Advertising & Marketplace Ops

Daily quality acceptance criteria and advertiser SLA governance at global scale.

2017 – 2020

Hibernate Tech

Founding CEO (Full P&L)

Bootstrapped and scaled from 0 to ~100 people. Owned full P&L, 3x volume growth.

AI Data Foundations · Series A ($11.5M+) APR 2025 – PRESENT · Full-Time

Parspec — Product Operations Manager, AI Data Foundations

San Mateo, CA & Bengaluru · Production LLM Systems · Governing 1.5M+ Points in Central Data Repo (CDR)

1.5M+

Central Data Repo Points

62.4%

TPD Latency Reduction

846 Hrs

Human Annotation Avoided

0.4%

Rework Rate (<5% SLA)

Central Data Repository (CDR) Architecture & Data Governance: Scaled and governed the master taxonomy repository to 1.5M+ validated data points across 7 production AI flows (Parsing, Submittal Generation, Quoting, Product Selector), establishing automated schema validations, canonical naming, and multi-stage lineage tracking.
62.4% TPD Latency Reduction via Human-in-the-Loop Optimization: Engineered human-in-the-loop review queues, batching logic, and agentic QA pre-validation rules, compressing weighted Time-Per-Datapoint (TPD) by 62.4% and avoiding 846 hours of manual SME engineering and annotation time.
Air-Gapped Blind Evaluation Set & 15-Bucket Error Taxonomy: Engineered an un-leaked gold-standard blind benchmark of 1,200 complex multi-vendor submittal packages and a 15-bucket evaluation taxonomy with mechanical gating rules, preventing training regressions and calibrating LLM confidence scores.
Product, Research & Operations Cross-Functional Bridge: Partnered daily with founding AI engineers and product leadership to translate reviewer edge cases, OCR hallucinations, and catalog anomalies into prompt improvements, training data splits, and automated confidence threshold gates.

Core Capabilities: AI Data Foundations · Central Data Repository (CDR) · LLM Evaluation & Benchmarking · Human-in-the-Loop QA · Time-Per-Datapoint (TPD) Optimization

Workforce Management Decacorn ($13.5B Valuation) JAN 2023 – JAN 2024 · Full-Time

Rippling — Operations Lead · Workforce & Payroll

Bangalore, India · Core HR, PEO & Global Workforce Operations

25%

TAT Latency Reduction

30%

Onboarding Accelerated

99.6%

Critical Payroll SLA

Zero

Headcount Added for 2x Scale

Operational Capacity Planning & Queue Optimization: Directed enterprise payroll execution and PEO workforce operations across high-velocity customer tiers, instituting algorithmic ticket routing and capacity modeling that absorbed 2x customer volume with zero team expansion.
25% TAT Compression via Prioritization Frameworks: Formulated strict priority-tiering algorithms and queue load-balancing mechanisms across payroll exception queues, slashing end-to-end turnaround latency by 25% while maintaining a 99.6% SLA success rate.
HCM Cloud Connector & Automated Data Migration: Engineered automated data mapping templates and validation scripts for enterprise customer HCM data migrations, cutting onboarding turnaround time by 30% and eliminating multi-day manual spreadsheet reconciliation errors.
Engineering Root-Cause Analysis (RCA) Bridge: Established formal RCA loops between Tier-3 operations and Rippling's core platform engineering squads, driving defect remediation for recurring benefits deduction discrepancies and tax engine edge cases.

Core Capabilities: Workforce Management · PEO & Payroll Operations · Capacity Planning · Process Automation · Cross-Functional RCA

Global Workforce Unicorn ($3.7B Valuation) SEP 2022 – OCT 2023 · Full-Time

Papaya Global — Operations Lead, Global Payroll & Cross-Border Compliance

Bangalore, India · Operating across 20+ Sovereign International Jurisdictions

30%

Turnaround (TAT) Cut

20+

Sovereign Jurisdictions

0 Defects

Statutory Compliance Target

Product-Ops

Engineering Feedback Loop

Cross-Border Statutory Compliance Governance: Directed monthly payroll execution and statutory labor compliance across 20+ international legal entities throughout EMEA, APAC, and the Americas, reconciling complex localized withholding taxes, pension funds, and multi-currency FX disbursements.
30% Cycle Turnaround Time (TAT) Acceleration: Spearheaded workflow re-engineering and standardized pre-reconciliation audit runbooks, compressing month-end cutoff-to-disbursement latency by 30% while onboarding rapid enterprise client volume.
Mechanical Error Triage & Exception Handling: Architected structured exception-handling workflows and mechanical validation rules for in-country payroll partners (ICPs), drastically reducing manual recalculation cycles and keeping SLA compliance above 99%.
Product & Engineering Partnership: Served as the primary operational stakeholder to Papaya Global's product and engineering teams, translating regional payroll edge cases and statutory compliance hurdles into automated platform features, bulk ingestion validation schemas, and automated discrepancy flags.

Core Capabilities: Global Payroll · Cross-Border Statutory Compliance · Process Re-engineering · Multi-Currency FX · Product Operations

Fortune 5 Global Scale ($1.8T Market Cap) JAN 2020 – JAN 2022 · Full-Time

Amazon — Worldwide Advertising & Marketplace Ops

Bangalore, India & Global · Marketplace Catalog Quality & High-Revenue Advertiser Operations

4 Global

Geos Governed (US/UK/AU/IN)

99.8%

Catalog Quality SLA Target

50K+

Monthly High-Impact SKUs

SOP Autom.

Rule-Based Defect Triage

Multi-Marketplace Catalog Integrity Governance: Governed end-to-end catalog quality and advertising compliance across the US, UK, Australia, and India marketplaces, enforcing strict Amazon acceptance criteria for millions of customer-facing product attributes and creative assets.
Rule-Based Defect Auditing & Triage Automation: Built standardized defect categorization taxonomies and inspection checklists, catching listing suppressions, brand policy infringements, and metadata drift before buyer impact.
High-Revenue Brand Partner SLA Management: Managed operational SLA compliance for top-tier marketplace sellers and brand advertisers, ensuring sub-24-hour turnaround for critical catalog corrections and creative content approvals.
Operational Excellence & Kaizen Continuous Improvement: Championed Lean Six Sigma and Kaizen initiatives within the catalog operations org, streamlining cross-team verification handoffs and reducing false-positive defect escalations by 22%.

Core Capabilities: Marketplace Operations · Global Catalog Governance · Advertiser SLA Management · Lean Six Sigma / Kaizen · Defect Taxonomy Design

Venture Founding · Scaled 0 to ~100 People JAN 2017 – JAN 2020 · Full-Time

Hibernate Tech — Founding CEO (Full P&L)

India · Bootstrapped B2B Digital & Technology Operations from Inception to Scale

0 → ~100

Team Scaled from Scratch

100% P&L

Full Financial Ownership

Multi-Year Revenue Scale

100+

B2B Enterprise Engagements

0 to ~100 Team Building & Operational Infrastructure: Bootstrapped the venture from day zero to a high-performing ~100-person multidisciplinary delivery organization across software development, digital operations, and quality engineering.
Complete P&L & Balance Sheet Ownership: Owned full commercial P&L, resource budgeting, unit economics, and client pricing structures, achieving continuous operational profitability and 3x year-over-year revenue expansion without institutional capital.
Enterprise Client Delivery & SLA Frameworks: Architected delivery governance, milestone tracking, and quality management systems across 100+ B2B commercial deployments, maintaining contract renewal rates above 90%.
People Leadership, Hiring & Career Ladders: Designed hiring funnels, training bootcamps, and performance review cycles from the ground up, cultivating frontline team leads and embedding an ownership-driven engineering culture.

Core Capabilities: Full P&L Ownership · 0-to-1 Venture Scaling · Team Building & Leadership · B2B Client Acquisition · Operational Governance

Candidate Fit

Executive Candidate Dossier

Gaurav pairs the strategic rigor of an IIM Nagpur MBA and the technical literacy of a CS Engineer with the battle-tested grit of scaling a company to ~100 people and governing 1.5M+ data points for production AI.

Email Directly: gpawar311@gmail.com

Gaurav Pawar

Executive Profile

• Current: Product Operations Manager, AI Data Foundations @ Parspec.
• Scale: Governed 1.5 Million+ data points; 62.4% TPD latency cut (846 hrs avoided); 0.4% rework rate.
• Pedigree: MBA (IIM Nagpur) · B.Tech CS · Founding CEO (~100 people) · Amazon · Papaya Global · Rippling.
• Target Roles: Head of AI Data Foundations · Director of AI Product Operations · Technical AI PM.