Technology Manager · Solution Architect
Tuhin Sarkar
Data Engineering & Generative AI Leader
6 years delivering enterprise-grade data engineering and generative AI solutions across Finance, Legal, Compliance, and Corporate Affairs.
About
Professional Summary
Technology Manager and Solution Architect with 6 years of experience delivering enterprise-grade data engineering and generative AI solutions across Finance (OTC, PTP), Legal, Compliance, and Corporate Affairs. A strong program and project leader who owns end-to-end delivery — from stakeholder alignment and solution architecture through production. An effective people leader with a consistent track record of growing engineering teams and accelerating contributors at all levels into higher-impact roles.
Career
Work Experience
Agentic AI Copilot — ECA Case Management
LLM classifier for case type (harassment, fraud, H&S, conflict of interest), Workday people-data integration, automated insight generation, and a RAG chatbot to query past cases and policies. Multi-source pipeline ingesting structured and unstructured legal data.
LLM-Based Expense Classifier
Processes transactions to categorize spend type and flag compliance violations. Surfaced non-compliant corporate card spend directly informing a company-wide card policy overhaul.
$4.4M non-compliant spend surfaced · ~10h/month eliminated
Touch Point Vendor Revamp
Shipped critical vendor due diligence visibility under crisis. Drove Azure Synapse to Azure Databricks migration, eliminating redundant infrastructure and reducing operational overhead.
$200K in infrastructure savings
Department AwardCompliance Training ETL
Unified Workday, enrollment lists, and the exemption portal into a single pipeline. Tracks employees globally across training completion and exemptions.
Refresh cut from 3h → 1h · 16×/day · ~55K employees
Brand Portfolio Governance
End-to-end BI visibility for CMO, VPs, and Global Directors — Marketing. Covers S&M allocation, P&L, media, ZBB, and brand performance across the global portfolio.
~27h/month saved in manual reporting
Control Tower — Marketing KPIs
Unified Financial, Commercial, and Participation KPIs on a single BI platform for CMO, VPs, and Global Directors — Marketing. Replaced fragmented manual reporting across teams.
~60h/month saved in manual reporting
GCC AwardContribution Margin Analysis
Unified P&L, SKU Sales, and Syndicated data across 11 countries to surface a previously invisible margin opportunity at global scale.
$630 Mio opportunity surfaced · 11 countries
GCC AwardOTC Data Engineering & BI
Automated 2 ETL pipelines, delivered Power BI dashboards, and implemented 20 Internal Controls KPIs for Africa, Canada, Europe & Mexico.
~200 Mio data points · 20 KPIs across 4 regions
GCC AwardExpertise
Skills
Background
Education
Visiting Scholar, Startup Semester · Data-X (AI), Technology Entrepreneurship · GPA: 3.7/4.0
2018
Built a real estate price prediction ML model using NYC Open Data as part of the Data-X (AI) program — applied regression and feature engineering on government datasets, achieving ~68% accuracy, competitive with benchmarks at the time.
Bachelor of Technology (B.Tech.), Computer Science · CGPA: 9.53/10
2017 – 2021
TA across 3 courses (Data Science, Algorithms, Statistics); co-founded Ennovab and conducted AI/ML research at Next Tech Lab.
Learning
Certifications & Training
-
LLM Engineering: Master AI, Large Language Models & Agents — Ed Donner via Udemy
Active
- Power BI Data Analyst Associate (PL-300) — LinkedIn Learning
- Master SQL for Data Science — LinkedIn Learning
- Professional Scrum Master I (PSM I) — Scrum.org
- Deep Learning Specialization — Coursera
- ML with TensorFlow on Google Cloud — Coursera