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AI Platform Architect ||AI Researcher ||7+ years in AI ||Product Engineering ||Deep Tech Expert || Forward Deployment Engineer ||Ex-WellsFargo,DeutscheBank||Guest Lecturer@BITS,VIT,Nord Anglia Education
Solid Engineer who can solve complex problems with simple solution Expert in Wholesale Banking-Capital Markets ,Retail Banking-Digital Channels. 4+ years of Experience in GCC-Wells Fargo and Deutsche Bank Expert in Cloud Architecture,Cost Optimization,Data Engineering,Distributed System,System Design,DSA and Built Many GenAI and AI- Cloud based POCs and Implemented in Production and Generated 1 million USD Revenue Worked as AI Solution Architect for multiple projects related to domain such as Retail,Telecom,Media,Sports,Financial Services and Consumer Foods and improved 70% Productivity Developed Customized Batch Integration Pipeline for Data Migration Project from On Premises to Cloud(GCP,AWS,Python) Technical Expert in BigData (HDFS,Hive,Spark, DataBricks,BigQuery,EMR,Kafka,MongoDB,Neo4j) Expert in handling UnStructural Data(Text,Audio,Image,Video) and Building Data Pipeline for Mass Volume of Data And Expert in building OpenSource and Cloud Based AI Solution(Azure,AWS,GCP) Technical Expert in Teradata,Oracle,SQL Server,PostgreSQL,Python,Java,and Scala Technical Expert in DevOps Tools such as Jenkins, Terraform,Kubernetes,GIT and Codefresh 8+ Years of Experience in Actimize Product Development (Custom Model Development,Policy Rules Creation,Platform Lists,Plugin Development for AIS & RCM) and it's related infrastructure activities. Expert in setting up New Team for Actimize Product Development in both Retail and WholeSale Banking. Work Experience in Actimize Product Solution such as Remote Banking, IFM, UDM and IDB. Work Experience in RCM Upgrade Activities such as RCM 5.8 to 5.10,5.12 and 5.13. Work Experience in AIS Upgrade Activities such as AIS 4.21,4.24 and 4.25 Expert in following Capital Markets and Consumer Banking Surveillance Areas Trade and Employee Surveillance Control Room Surveillance Benchmark and Forex Surveillance Consum
Intel
Workshop on DeepLearning, DataScience
January 1, 2018 – January 1, 2018
Anna University Chennai
B.Tech Information Technology
January 1, 2001 – January 1, 2005
Wipro
AI Solutions Architect(AI | BigData | Cloud | Devops|Tableau|GenAI)
July 1, 2022 – Present
Wipro
AI Analytics Architect(AI|AWS,GCP, BigData,Hive,Spark,Python,SQL,Scala CQL,KnowlegeGraph,ML,NLP|GO)
February 1, 2020 – June 1, 2022
Mindtree
AI Solution Architect(Azure,AWS,ML,NLP,DL,React,Spark,Python,SQL,Unix,Scala,Kubernetes,Kibana)
June 1, 2019 – January 1, 2020
Bengaluru, Karnataka, India
Wells Fargo
Data Architect|Vice President (Actimize,BigData,Python ML,DL)
January 1, 2017 – January 1, 2019
Bengaluru Area, India
Deutsche Bank
Senior Data Engineer (Oracle,SQL,Unix,Actimize,ControlM,Java,QlikView)
March 1, 2015 – December 1, 2016
Pune Area, India
Tata Consultancy Services
Senior Data Engineer(Oracle,SQL,Unix,Actimize,Actuate,Autosys,Java,MSTR Reports)
June 1, 2007 – February 1, 2015
Chennai,Newyork and London
Master the AWS Well-Architected Framework
June 24, 2026 – Present
Microsoft 'Week of AI'
Microsoft
June 24, 2026 – Present
Google Cloud Certified Cloud Digital Leader
Google Cloud - Minnesota
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
June 24, 2026 – Present
GCP-Create and Manage Cloud Resources
Google Cloud Skills Boost
June 24, 2026 – Present
Terraform-Perform Foundational Infrastructure Tasks in Google Cloud
Google Cloud Skills Boost
June 24, 2026 – Present
Image Generation
Google Cloud Skills Boost
June 24, 2026 – Present
Generative AI Fundamentals
Google Cloud Skills Boost
June 24, 2026 – Present
Responsible AI
Google Cloud Skills Boost
June 24, 2026 – Present
Large Language Models
Google Cloud Skills Boost
June 24, 2026 – Present
Generative AI
Google Cloud Skills Boost
June 24, 2026 – Present
AWS Well-Architected Framework: Cost Optimization Pillar
June 24, 2026 – Present
DevOps for Data Scientists
June 24, 2026 – Present
AWS Well-Architected Framework: Performance Efficiency Pillar
June 24, 2026 – Present
AWS Well-Architected Framework: Security Pillar
June 24, 2026 – Present
AWS Well-Architected Framework: Reliability Pillar
June 24, 2026 – Present
AWS Well-Architected Framework: Operational Excellence Pillar
June 24, 2026 – Present
Deep Learning: Face Recognition
June 24, 2026 – Present
Building and Deploying Deep Learning Applications with TensorFlow
June 24, 2026 – Present
Deploying Scalable Machine Learning for Data Science
June 24, 2026 – Present
Data Science on Google Cloud Platform: Predictive Analytics
June 24, 2026 – Present
NLP with Python for Machine Learning Essential Training
June 24, 2026 – Present
Google Cloud Platform (GCP) Essential Training for Developers
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive experience across multiple companies (Wipro, Mindtree, Wells Fargo, Deutsche Bank, TCS) and diverse project domains (Retail, Telecom, Media, Sports, Financial Services, Consumer Foods) indicates adaptability and a broad understanding of different business contexts. The focus on AI, Big Data, and Cloud aligns well with modern tech-driven environments. The numerous certifications in AWS, GCP, Generative AI, and Machine Learning demonstrate a commitment to continuous learning and staying current with industry trends, which is a strong indicator of cultural fit for an innovative organization. However, the lack of specific project details beyond high-level descriptions makes it difficult to assess collaboration styles or specific team contributions.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Architect, VP, Tech Lead) and experience across diverse customer bases (Amazon, Apple, Uber, MasterCard, US Bank, ANZ, UHG, Electronic Arts), suggesting strong client interaction and project management capabilities. The descriptions imply a problem-solving mindset, particularly in optimizing processes and generating revenue through technical solutions. However, without specific psychometric or English test results, a direct assessment of soft skills like communication clarity, logical reasoning, work attitude, stress handling, and team collaboration is not possible.