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Allwins Rajaiah

Allwins Kannan Rajaiah

SOLUTIONS ARCHITECT | DIRECTOR OF TECHNOLOGY | AI | CLOUD | DATA | FULL STACK

  • 22+ Years of Experience
  • Enterprise Architecture & Cloud
  • AI / GenAI & Data Modernization
  • Technical Leadership & Delivery

PROFESSIONAL SUMMARY

  • Director of Technology and Solutions Architect with 22+ years of experience leading technology strategy, enterprise architecture, engineering, and delivery across Cloud, AI/GenAI, Data, Microservices, and Full-Stack platforms.
  • Architect end-to-end enterprise and cloud solutions, translating business requirements into scalable, secure, resilient, and cost-effective architectures across AWS and GCP.
  • Lead AI and data modernization initiatives spanning Generative AI, Agentic AI, AgentCore Runtime, Amazon Bedrock, RAG, MCP, AI Governance, Data Engineering, Databricks, PySpark, and dbt.
  • Hands-on engineering leader with strong expertise in Java, Spring Boot, Angular, Kubernetes, Docker, Terraform, and CI/CD, with a focus on cloud-native application delivery.
  • Drive architecture governance, engineering excellence, Agile delivery, and cross-functional technical leadership, partnering with business and technology stakeholders to deliver enterprise-scale solutions.

CORE TECHNOLOGY

  • Architecture & Tech LeadershipSolution & Cloud Architecture, Technology Strategy, Architecture Governance, Enterprise Modernization, Microservices, Distributed Systems, Event-Driven Architecture, API Design
  • AI, GenAIAIDLC, Generative AI, Agentic AI, AgentCore Runtime, Bedrock, RAG, MCP, LLM Applications, Knowledge Bases, AI Guardrails, AI Governance, AI Evaluation, Langfuse
  • Cloud & PlatformAWS, GCP, Kubernetes, Docker, Terraform, Serverless, Cloud Security, Scalability, Reliability & Cost Optimization
  • Data ArchitectureData Architecture, Data Pipelines, Data Modeling, Spark, Databricks, Data Quality, Data Governance
  • DevOpsCI/CD, GitHub Actions, Jenkins, Automated Testing, Release Engineering
  • Full Stack & ApplicationJava, Spring Boot, Hibernate, Angular, React, Node.js, REST APIs, JavaScript, HTML, OAuth, SAML, JWT
  • Databases & SearchOracle, PostgreSQL, MySQL, DB2, MongoDB, DynamoDB, Elasticsearch
  • Mobile & Emerging TechFlutter, Android, iOS, Replit, Cursor, GitHub Copilot

CAREER TIMELINE & EXPERIENCE

  1. –

    Asic Infotech

    Java Developer

    • Application development
    • Maintenance support
  2. –

    3i-Infotech

    Team Lead

    • Application development
    • Team leadership
  3. –

    Amtex Systems

    Team Lead

    • Application development
    • Client delivery
  4. –

    Star4ce Technologies

    Tech Lead / Senior J2EE

    • J2EE development
    • Team leadership
  5. –

    MMapView Geographical Solutions

    Tech Lead

    • Application development
    • Team management
  6. –

    Marlabs Software

    Technical Manager

    • Solution design
    • Team leadership
    • Client delivery
  7. –

    Advanced Software Design

    Solutions Architect / Application Designer

    • Solution architecture
    • Application design
    • Team leadership
  8. – Present

    Tekizma Inc.

    Director of Technology

    • Data & Application Engineering
    • Solution Architecture
    • AI/GenAI and Cloud initiatives

KEY ACHIEVEMENTS & IMPACT

  • 50%Improved reconciliation accuracy
  • 40%Reduced development effort
  • Enterprise ScaleDesigned and delivered scalable cloud and data platforms
  • Cross-functional LeadershipLed engineering, data, QA and platform teams

RECENT EXPERIENCE HIGHLIGHTS

Tekizma Inc. | Director of Technology | Data and Application Engineering & Solution Architecture

  • Define technology strategy and technical roadmaps for data, cloud and AI platforms aligned with business outcomes.
  • Lead architecture and solution design across data platforms, cloud services, microservices, APIs and AI/ML capabilities.
  • Establish architecture governance, engineering standards and design patterns for scalability, security, data quality and resilience.
  • Architect Azure Databricks data platforms covering ingestion, transformation, modeling, orchestration and reusable data products.
  • Design and optimize data pipelines using PySpark, SQL, dbt and Databricks.
  • Design reconciliation (Recon) architecture and data flows with data quality controls and scalable processing patterns.
  • Design cloud architectures in AWS covering compute, storage, networking, security, monitoring, availability, scalability and cost optimization.
  • Lead legacy application modernization and cloud migration from Spring/JSP to Spring Boot, Angular, REST API, Hibernate and MySQL on AWS.
  • Drive decomposition of legacy components into modern application and API layers.
  • Integrate AI/ML capabilities for intelligent data processing, natural-language interaction and AI-assisted engineering workflows.
  • Lead architecture reviews, technical decisions, risk management and stakeholder communication.
  • Provide technical leadership and mentoring across data engineering, application development, QA and cross-functional teams.

EDUCATION

B.E., Computer Science & Engineering

Amrita Institute, Bharathiar University, India

CERTIFICATION

AWS Certified AI Practitioner

AIF-C01