AI Solutions Architect · Technical Leader

Pratik Chatterjee

From ambiguous business problems to production AI systems at scale. Eliminating vendor lock-in, reducing knowledge work by 98%, and delivering $2M+ measurable ROI.

$2M+
Value Delivered
98%
Time Reduction
10+
Years in Data & AI
$40K
Vendor Cost Eliminated
Pratik Chatterjee
Available for consulting
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RAG SystemsLLM ArchitectureML PlatformsData LakehouseAzure OpenAIAWS MLComputer VisionNLPGenAIMLOpsTeam LeadershipEnterprise AIRAG SystemsLLM ArchitectureML PlatformsData LakehouseAzure OpenAIAWS MLComputer VisionNLPGenAIMLOpsTeam LeadershipEnterprise AI

Building AI that
moves the needle

I'm a technical leader who bridges the gap between ambiguous business problems and production-grade AI systems. Currently at Ebrahim Khalil Kanoo (EKK) in Bahrain, I lead enterprise AI, ML, and data platform modernization across automotive retail and customer engagement.

Previously at Deloitte Consulting, I delivered enterprise ML and GenAI solutions for Fortune 500 clients including Pfizer and Sanofi. My approach combines hands-on execution with strategic architecture and build-vs-buy decisions.

Earlier roles at Thermo Fisher Scientific and Netsurion grounded me in ML products and cybersecurity analytics. My belief: AI's value is measured in business outcomes, not model accuracy.

Location
Manama, Bahrain
Current Role
Manager, Data & AI
Company
Ebrahim Khalil Kanoo
Focus
GenAI · ML · Data Platforms
Education
PG in Data Science & Machine Learning— University of Chicago
Clients Served
Pfizer · Sanofi · Fortune 500

Impact you can measure

01

Patent Automation System

Deloitte → Pfizer · Jul–Dec 2023

Led 5-person team delivering GenAI-powered patent drafting. Reduced attorney time from 14 hours to 2–4 minutes. 90% accuracy validated by VP-level legal team.

98%
Time Reduction
Azure OpenAISemantic SimilarityFew-shotFastAPIReactJSDocker
02

Automotive Chatbot Platform

EKK · Ongoing

Replacing $40K vendor dependency with custom RAG chatbot across 4 brands (Lexus, Toyota, Chery, Jetour). Knowledge base updates: 1 week to under 1 hour.

168×
Faster Updates
RAGChromaDBGPT-4SalesforceAWS
03

Customer Intelligence ML

EKK · In Development

ML-driven RFM clustering for 150K automotive customers. 20% retention improvement. Building churn, CLTV, and propensity scoring models.

$2M+
Projected Value
ML ClusteringRFMLakehouseA/B Testing
04

Email Classification System

Deloitte → Sanofi · 2 months

Automated 7.5K–10K daily emails across 100+ taxonomies. Compared GPT-3.5, fine-tuned NVIDIA NeMo on DGX, and hybrid BERT+RF.

80%
Effort Reduced
GPT-3.5NVIDIA NeMoBERTDGX
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Career trajectory

Mar 2024 — Present

Manager, Data & AI

Ebrahim Khalil Kanoo (EKK), Bahrain

  • Defined company-wide AI & Data Architecture strategy
  • Architected Data Lakehouse on Microsoft Fabric with medallion architecture
  • Leading cross-functional execution across data engineering, CRM, analytics, and ML teams
Feb 2022 — Feb 2024

Senior Data Scientist

Deloitte Consulting, India

  • Delivered enterprise ML/GenAI for Fortune 500 clients as hybrid tech lead + AI architect
  • Led 4–6 member teams across ML, backend, prompt engineering, and DevOps
  • Defined ML/GenAI delivery frameworks for enterprise deployments
Feb 2020 — Feb 2022

Data Science Specialist

Thermo Fisher Scientific, India

  • Built ML/analytics products for data-driven sales insights across APAC
  • Designed automated pipelines — single source of truth for regional leadership
Jul 2017 — Feb 2020

Senior Analyst, Data & Cybersecurity

Netsurion, India

  • Analytics lead in cybersecurity intelligence division
  • Behavioral ML models for anomaly detection, fraud, and threat monitoring
2010 — 2012 — 2014 — 2017

Earlier Roles

Knoema (Sr. Data Analyst) · BMW Industries (EA to Chairman) · Atlanta Global Advisors (Associate)

  • Foundation in data analytics, business intelligence, and executive operations

Technical arsenal

AI & Machine Learning

  • RAG, Prompt Engineering, Fine-tuning
  • GPT-4, Claude, Gemini
  • Clustering, Classification, NLP
  • Computer Vision, Time Series
  • TensorFlow, Keras, scikit-learn
  • LangChain, Hugging Face

Data & Cloud

  • AWS, Azure, GCP
  • Microsoft Fabric, NVIDIA DGX
  • ChromaDB, MongoDB, Neo4j
  • SQL, Salesforce
  • ETL Pipelines, Data Lakehouse
  • Dimensional Modeling
🛠

Development & MLOps

  • Python (Pandas, FastAPI, Flask)
  • JavaScript, SQL
  • Docker, Kubernetes
  • Git, MLFlow, CI/CD
  • Dataiku DSS, Power BI
  • Microsoft Fabric
🎯

Leadership & Strategy

  • Cross-functional Teams (5+)
  • Mentoring & Coaching
  • C-level Presentations
  • Client Delivery Management
  • Build-vs-Buy Decisions
  • Architecture & Cost Optimization

Credentials

2018 — 2019
PG in Data Science & Machine Learning
University of Chicago
2012 — 2014
MBA, International Business
GITAM University
2007 — 2010
BCA, Computer Applications
Sikkim Manipal University
AWS ML SpecialtyNVIDIA AI SupercomputingMLOps — DeloitteCloud ML — INSOFE 🏆 Deloitte Applause Award🏆 Thermo Fisher Innovation Award🏆 Netsurion Recognition

Code Cognition & AI

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Let's build
something remarkable

Open to discussing AI strategy, architecture consulting, or your next ambitious project.