Rakesh Sheshadri
Cloud AI Practice Manager
Bengaluru
Summary
As a Cloud AI Practice Manager at Wipro Technologies, I specialize in building and scaling end-to-end AI/ML systems . With deep expertise in machine learning, data engineering, and cloud-native MLOps, I help global enterprises translate complex business needs into intelligent, production-grade AI solutions.
Overview
12
12
years of professional experience
4
4
years of post-secondary education
5
5
Certifications
1
1
Language
Work History
Practice Manager
Wipro
03.2025 - Current
- Designed end-to-end GCP architecture with Dataflow, GKE, Pub/Sub, and Vertex AI Pipelines.
- Enabled client PoC with 5x faster delivery and standardized GCP best practices across the practice.
Senior Technology Specialist - Data Science
G10X
03.2024 - 03.2025
- Deployed AI-Enabled Customer Experience and Sales Optimization on Azure
- Designed and deployed an AI solution to improve customer engagement, personalize promotions, and optimize staffing across 700+ pub locations.
- Built a real-time recommendation engine using Azure Machine Learning and Azure Databricks to suggest offers based on purchase history, weather, and location.
- Used computer vision models (ResNet on Azure Custom Vision) to analyze foot traffic and crowd density via in-premise CCTV.
- Developed forecasting models (Prophet + XGBoost) for daily sales and optimal staffing levels based on historical patterns and event data.
- End-to-end deployment on Azure Cloud: Azure ML, Azure Databricks, Blob Storage, Azure SQL, Azure Kubernetes Service (AKS).
- MLOps pipeline with Azure DevOps, GitHub Actions, and MLflow for versioning and retraining.
- Real-time insights via Power BI dashboards integrated with Azure Synapse Analytics.
- AI-Enabled Customer Experience and Sales Optimization on Azure
- Improved campaign ROI by 45% through personalized promotions.
- Achieved 20% reduction in staffing costs with predictive scheduling.
- Enhanced customer satisfaction through smarter in-venue experiences.
Assistant Consultant
Tata Consultancy Services
03.2022 - 03.2024
- Built a scalable NLP system to extract and summarize structured data from unstructured medical notes.
- Fine-tuned BERT for medical NER (ICD-10 codes, lab values, medications).
- Developed summarization workflows using transformers.
- Integrated classification models for note-type prediction (SOAP, Discharge, etc.).
- Hosted on AWS SageMaker with batch + real-time endpoints.
- HIPAA-compliant pipelines using S3, Lambda, and API Gateway.
- Reduced manual note review by 70% with >90% NER accuracy.
Senior Consultant
Capgemini
10.2019 - 05.2022
- Developed an AI-powered platform to analyze customer behavior, detect engagement drop-offs, and trigger proactive banking offers.
- Built customer behavior prediction models using deep learning (LSTM + Autoencoders).
- Deployed segmentation for cross-sell and upsell using K-Means and hierarchical clustering.
- Detected anomalies in transaction and engagement patterns for early churn warnings.
- Deployed on Google Cloud Platform using Pub/Sub, BigQuery, Dataflow, and GKE.
- TensorFlow Serving on GKE for scalable model inference.
- CI/CD with Cloud Build and GitHub Actions for streamlined deployments.
- Increased campaign conversion by 33% and reduced dormant accounts by 40% through timely engagement.
Senior Consultant
NTT DATA GLOBAL DELIVERY SERVICES PRIVATE LIMITED
06.2017 - 10.2019
- Architect an AI-based fraud detection framework on high-volume transactional data.
- Used Random Forest and Isolation Forest for real-time fraud prediction.
- Built sequence models to capture transaction behavior over time (LSTM prototype).
- Implemented model explainability and scoring pipelines using Python + Spark MLlib.
- Reduced financial fraud losses by $10M+ annually with precision models.
Junior Consultant
Altimetrik
06.2013 - 06.2017
- Developed an in-house churn prediction platform using machine learning models on massive customer data.
- Built churn scoring models using Logistic Regression, Decision Trees, and SVM.
- Designed a batch-based feature extraction system using Hive + Pig + Sqoop.
- Optimized customer segmentation with unsupervised clustering (K-Means, DBSCAN).
- Reduced churn by 28% through targeted retention campaigns.
Education
Bachelor's degree - Information Technology
Visvesvaraya Technological University
01.2007 - 01.2011
Skills
- Project Management
- Delivery Management
- Customer Engagement
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
- Microsoft Azure
Certification
What Is Generative AI?
Timeline
Practice Manager
Wipro
03.2025 - Current
Senior Technology Specialist - Data Science
G10X
03.2024 - 03.2025
Assistant Consultant
Tata Consultancy Services
03.2022 - 03.2024
Senior Consultant
Capgemini
10.2019 - 05.2022
Senior Consultant
NTT DATA GLOBAL DELIVERY SERVICES PRIVATE LIMITED
06.2017 - 10.2019
Junior Consultant
Altimetrik
06.2013 - 06.2017
Bachelor's degree - Information Technology
Visvesvaraya Technological University
01.2007 - 01.2011
Similar Profiles
Vaishnavi GundojuVaishnavi Gundoju
Senior Associate at WiproSenior Associate at Wipro
Hari Kumar ModalaHari Kumar Modala
Lead Administrator- Asset and Configuration Management at WiproLead Administrator- Asset and Configuration Management at Wipro
Rajesh JoshiRajesh Joshi
Us mortgage Underwriter at WiproUs mortgage Underwriter at Wipro
Sushmita KulkarniSushmita Kulkarni
Senior Associate at WIPROSenior Associate at WIPRO
Ayushi SharmaAyushi Sharma
Emerging Architect at Shell India Markets Pvt LtdEmerging Architect at Shell India Markets Pvt Ltd