Month: October 2025

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Support Engineering: 24/7 Support

Posted on | by Ajitha Gunasekaran | Leave a Comment on Support Engineering: 24/7 Support

Support Engineering: 24/7 Support

A 24/7 support engineering framework built for a fast-scaling customer data platform serving global enterprises. The team managed L1 operations, ensuring uninterrupted system uptime and rapid incident triage. This proactive support model reduced engineering overhead while maintaining platform stability and customer trust.

Platform Developed

Overview

Provided dedicated 24/7 Support Engineering (L1) for a high-velocity Customer Data Platform (CDP) by monitoring 23+ dashboards and performing rapid triage/resolutions using standardized playbooks. This significantly improved Mean Time to Resolution (MTTR) and reduced engineering overhead.

Problem

  • The Client faced challenges in managing 24×7 platform operations due to frequent alerts, unstructured L1 ownership, and increasing pressure on internal engineering teams.
  • The lack of a round-the-clock triage and escalation structure resulted in delays and slower resolution times.

Solution

  • Real-Time Monitoring & Alert Handling: A dedicated team monitored 23+ dashboards covering infrastructure, application health, data pipelines, and campaign delivery.
  • Rapid Triage & First-Level Resolutions: Performed immediate checks, log analysis, node scaling, and job restarts to address issues proactively and resolve common alerts
  • Standardized Playbooks & Escalation Paths: Followed well-defined Standard Operating Procedures (SOPs) to reduce downtime and ensure seamless handover of complex issues to L3 teams.
  • Transparent Reporting & Traceability: Maintained detailed incident logs, shift reports, and audit trails for all alerts, actions, and escalations.

Key Business Outcomes

  • Improved Platform Reliability & Uptime: Ensured 24×7 monitoring and faster Mean Time to Resolution (MTTR), leading to higher system availability and customer.
  • Reduced Engineering Overhead: Offloaded L1 support load by resolving common alerts and false positives, enabling internal engineering to focus on core development.
  • Operational Transparency & Accountability: Delivered structured reporting, shift logs, and escalation matrices to ensure full traceability and smoother collaboration.

Technology

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Infrastructure Monitoring & Support

Posted on | by Ajitha Gunasekaran | Leave a Comment on Infrastructure Monitoring & Support

YesIT Services

A comprehensive IT support solution developed for a technology services provider managing multiple SME clients. The platform ensures uninterrupted system uptime through 24/7 monitoring, proactive maintenance, and escalation management. It strengthened their service delivery by improving reliability, issue resolution speed, and overall client satisfaction.

Platform Developed

Overview

A 24/7 IT monitoring and support solution ensuring high availability, rapid issue resolution, and client satisfaction.

Problem

  • Frequent system and third-party application issues disrupted uptime.
  • Lack of proactive monitoring led to delayed resolutions and escalations.

Solution

  • 24×7 infrastructure monitoring across 23+ dashboards.
  • L2 support for first-level issue resolution and escalation to L3 or vendors.
  • Managed Windows and Office 365 environments with regular patching.
  • Automated backup tracking and vendor coordination for recurring issues.

Key Business Outcomes

  • 99.9% uptime and strong SLA compliance.
  • Faster ticket resolution and reduced escalations.
  • Enhanced client satisfaction and operational scalability.

Technology

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Smart Console Support

Posted on | by Ajitha Gunasekaran | Leave a Comment on Smart Console Support

Smart Console Support

A workflow automation platform designed for a leading wealth advisory firm to streamline report generation and data management. It replaced manual Excel-based processes with automated document handling and real-time dashboards. The system enhanced visibility, accuracy, and accountability across all operational and client service workflows.

Platform Developed

Overview

An automated workflow and reporting platform that boosts efficiency and transparency in financial operations.

Problem

  • Manual Excel processes caused reporting delays and inefficiencies.
  • Limited visibility into task progress and accountability.

Solution

  • Automated document and report processing system.
  • Real-time dashboards for workflow tracking and insights.
  • Audit trails and reassignment options for accountability.
  • Optimized processes to reduce manual effort and delays.

Key Business Outcomes

  • 75% boost in team productivity.
  • Reduced workdays from 6 to 5 without impacting delivery.
  • Improved transparency and operational control.

Technology

Self-hosted JIRA Data Center on AWS

Posted on | by Ajitha Gunasekaran | Leave a Comment on Self-hosted JIRA Data Center on AWS

Self-hosted JIRA Data Center on AWS

Designed and implemented a cost-efficient, high-availability JIRA Data Center solution self-hosted on AWS, migrating from a costly cloud licensing model to an optimized infrastructure.

Platform Developed

Overview

This project involved deploying a cost-efficient, high-availability JIRA Data Center solution self-hosted on AWS EC2/CloudFormation to replace expensive JIRA Cloud licensing. The architecture uses an Application Load Balancer and Amazon RDS Multi-AZ to ensure robust performance and continuous operations.

Problem

  • The client wanted to reduce substantial JIRA Cloud licensing costs while maintaining necessary performance, security, and scalability.
  • The objective was to transition to a self-hosted JIRA Data Center on AWS to gain greater cost efficiency and better control over the application environment.

Solution

  • Infrastructure as Code Deployment: Deployed JIRA Data Center on AWS EC2 instances using CloudFormation templates for automated and repeatable infrastructure provisioning.
  • High Availability Setup: Configured an Application Load Balancer with SSL, Auto Scaling, and Amazon RDS (PostgreSQL) with Multi-AZ for high availability (HA).
  • Shared Storage & Monitoring: Implemented Amazon EFS for shared storage across nodes and integrated AWS CloudWatch for real-time performance monitoring and logging.
  • Backup and Security: Integrated AWS Backup for automated backups and leveraged AWS security best practices (VPC, WAF) to enhance the security posture.

Key Business Outcomes

  • 50% Cost Reduction: Eliminated dependency on expensive JIRA Cloud licensing with the self-hosted Data Center model.
  • High Availability & Scalability: Implemented an Auto-scaling infrastructure that ensures high performance and service uptime.
  • Enhanced Security & Compliance: Integrated native AWS security best practices, providing greater control and compliance capabilities.

Technology

CI/CD Automation Platform

Posted on | by Ajitha Gunasekaran | Leave a Comment on CI/CD Automation Platform

CI/CD Automation Platform

A DevOps transformation project developed for a leading financial services company to modernize its software delivery lifecycle. The solution automated CI/CD pipelines, infrastructure provisioning, and observability to enable secure, rapid deployments. It enhanced scalability, reduced operational costs, and ensured consistent compliance across all development environments.

Platform Developed

Overview

A secure and scalable CI/CD automation platform built to streamline deployments, enhance agility, and ensure compliance

Problem

  • Multiple disconnected tools caused inefficiency and poor visibility.
  • Manual infrastructure setup led to deployment delays and errors.

Solution

  • Unified CI/CD pipelines using Jenkins and GitHub Actions.
  • Automated infrastructure provisioning via Terraform and CloudFormation.
  • Centralized monitoring with Prometheus, Grafana, and ELK Stack.
  • Strengthened governance with security scans and access controls.

Key Business Outcomes

  • 70% faster deployments and 30% cost reduction.
  • 99.9% uptime with proactive monitoring and alerts.
  • Stronger compliance and streamlined DevOps governance.

Technology

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Modernization of Content Assurance Platform

Posted on | by Ajitha Gunasekaran | Leave a Comment on Modernization of Content Assurance Platform

Modernization of Content Assurance Platform

Executed the modernization of a legacy desktop content verification tool into a scalable, cloud-native SaaS platform on Azure for a leading pharma-focused compliance provider. The new microservices architecture delivers intelligent automation, faster performance, and improved accuracy. It empowers global life sciences teams with reliable content assurance and regulatory confidence.

Platform Developed

Overview

A desktop-based content verification tool was modernized into a highly scalable, cloud-native SaaS microservices architecture on Azure (AKS). This included a full DevOps review, automated CI/CD with Azure DevOps, and infrastructure hardening to meet HIPAA, SOC2, and GDPR compliance.

Problem

  • The client needed to modernize its existing desktop-based text verification tool to a cloud-native SaaS model on Azure for improved scalability, accessibility, and performance.
  • Legacy infrastructure and fragmented DevOps practices resulted in CI/CD bottlenecks, technical debt, and extended release cycles.

Solution

  • Strategic Roadmap & DevOps Health: Conducted a comprehensive DevOps review across Dev/Test/Prod, identifying CI/CD bottlenecks, technical debt, and infrastructure inefficiencies.
  • Tooling, Automation & Observability: Consolidated CI/CD tooling (Azure DevOps Pipelines & Azure Repos), reducing deployment complexity by 60%, and automated deployments with Docker & Azure Kubernetes Service (AKS).
  • Cloud Infrastructure, Security & Compliance: Deployed a robust multi-tenant Azure microservices architecture for dynamic scalability, leading to a 40% infrastructure cost saving.
  • Security & Compliance Hardening: Enhanced security posture with Azure Security Center and DDoS Protection, ensuring alignment with HIPAA, SOC2, ISO 27001, and GDPR compliance.

Key Business Outcomes

  • Faster Feature Deployments: Automated CI/CD reduced the release cycle from weeks to hours.
  • 40% Infrastructure Cost Savings: The new multi-tenant Azure microservices architecture allowed for dynamic scaling and optimized resource usage.
  • Enhanced Security & Compliance: Ensured the platform meets strict industry standards (HIPAA, SOC2, ISO 27001, GDPR).

Technology

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Job Search & Matching Platform

Posted on | by Ajitha Gunasekaran | Leave a Comment on Job Search & Matching Platform

Job Search & Matching Platform

An AI-powered mobile platform that connects job seekers and employers with smart, personalized job recommendations. It streamlines onboarding, discovery, and application in one intuitive experience. Built for accessibility and engagement, it accelerates hiring and improves user satisfaction across devices.

Platform Developed

Overview

An AI-powered job platform designed for U.S. users that connects job seekers and employers through smart matching, mobile-first design, and personalized recommendations.

Problem

  • Disjointed job portals lacking personalization and unified access.
  • Low engagement and difficulty connecting qualified candidates with employers.

Solution

  • Mobile-first job search app with AI-based recommendations.
  • Easy onboarding using Google, Apple, or LinkedIn sign-in.
  • Swipe-based job discovery with categorized “My Jobs” tracking.
  • Direct application system for faster hiring connections.

Key Business Outcomes

  • 30% higher job application conversions.
  • Faster time-to-hire through improved candidate matching.
  • Increased engagement and satisfaction among users.

Technology

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Property Management Platform

Posted on | by Ajitha Gunasekaran | Leave a Comment on Property Management Platform

Property Management Platform

A modern property management solution built to simplify rent, lease, and maintenance operations through automation and real-time insights. It integrates accounting tools and dashboards to deliver full financial transparency. Designed for scalability, it empowers property owners and teams to manage portfolios efficiently from anywhere.

Platform Developed

Overview

A cloud-based property management platform that automates rent, lease, and maintenance operations while improving real-time visibility and financial accuracy.

Problem

  • Outdated interface, missing dashboards, and slow system performance.
  • Frequent calculation errors and poor real-time data synchronization.

Solution

  • Automated rent, lease, and maintenance workflows.
  • Integrated QuickBooks and Plaid for seamless financial tracking.
  • Added real-time dashboards for occupancy and maintenance visibility.
  • Built a scalable cloud-native system for remote access.

Key Business Outcomes

  • 40% boost in operational efficiency and reduced manual work.
  • Improved financial accuracy with real-time data insights.
  • Enhanced scalability and user experience for all stakeholders.

Technology

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Legacy to Modern: Future Proofing Java Applications

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Legacy to Modern: Future Proofing Java Applications

A legacy modernization project for a large-scale enterprise application to strengthen performance, security, and compliance. The initiative upgraded the Java stack from JDK 8 to the latest LTS versions (JDK 17/21) with optimized build and deployment pipelines. This transformation ensured long-term maintainability, reduced technical debt, and improved overall development efficiency.

Platform Developed

Overview

We successfully future-proofed a mission-critical DCM application by migrating it from end-of-life JDK 8 to modern JDK 17/21 and refactoring the codebase. This guaranteed enhanced security, compliance, and significant performance improvement by leveraging the latest JVM features.

Problem

  • The existing DCM application runs on JDK 8, posing significant security risks, compliance challenges, and limited compatibility with modern build systems and cloud platforms.
  • JVM inefficiencies inherent in JDK 8 hinder application scalability, affecting overall performance and long-term maintainability.

Solution

  • JDK 17 Migration: Upgraded the core application from JDK 8 to JDK 17, and eventually JDK 21, to address critical security, compliance, and performance challenges.
  • Codebase Refactoring: Identified and refactored deprecated APIs, removed outdated libraries, and resolved incompatibilities to align the codebase with the latest JDK standards.
  • Environment & Tooling Upgrade: Updated development and build environments to support JDK 17 and JDK 21, enabling integration with modern tools like Maven, Gradle, J-Unit, and Playwright.
  • Stability Assurance: Conducted thorough testing and validation to ensure seamless functionality and system stability post-migration, leveraging Spring Boot and Hibernate/JPA.

Key Business Outcomes

  • 2x Faster Application Performance: Achieved significant runtime improvements by leveraging JDK 17 and JDK 21’s enhanced garbage collection and JVM features.
  • 100% Security Alignment: Resolved known vulnerabilities and deprecated components, ensuring compliance with modern security standards.
  • 40% Reduction in Technical Debt: Streamlined the codebase by removing outdated practices and aligning with current Java development conventions.

Technology

AI-First Recruiting Platform for Agencies

Posted on | by Ajitha Gunasekaran | Leave a Comment on AI-First Recruiting Platform for Agencies

AI-First Recruiting Platform for Agencies

An intelligent recruitment automation platform built for staffing agencies to streamline end-to-end hiring workflows. Powered by advanced AI, RAG-based chatbots, and data-driven insights, it delivers faster and more accurate candidate matching. The solution enables bias-free, efficient, and scalable talent acquisition for modern recruitment teams.

Platform Developed

Overview

An AI-first recruitment platform that uses Helix for smart candidate matching and Judica for unbiased scoring. Powered by the AI assistant Hailey, it automates hiring workflows for faster and more scalable talent acquisition.

Problem

  • Recruitment is often a manual, fragmented process resulting in delays, bias, inconsistent evaluations, poor-quality hires, and missed opportunities in a competitive market.
  • Recruiters lack smart tools for objective candidate scoring, risk assessment, and integrated business intelligence for pipeline and agency growth.

Solution

  • Smarter Candidate Matching & Evaluation: Uses AI to match resumes with job roles (Helix), score candidates objectively (Judica), and assess risks—removing bias and improving decision-making.
  • Autonomous AI Assistant & Workflow Automation: Hailey, the agentic AI, handles resume comparisons, red flag detection, personalized communication, and recruiter tasks, while Krystal Path streamlines hiring with visual boards.
  • Growth Intelligence & Business Development: Klarity delivers real-time analytics on recruiting performance, while Ignite automates SOWs, proposals, and bids.
  • Technology Stack: Built using modern tools including React, Django, PostgreSQL, Elasticsearch, and a RAG Chatbot with OpenAI/SeckQL

Key Business Outcomes

  • Faster, Smarter Hiring with AI: Achieved up to 60% reduction in time-to-hire through AI-driven, bias-free shortlisting and fully automated recruitment workflows
  • Better Quality Hires, Aligned to Your Culture: Ensured stronger candidate quality and cultural fit using advanced matching algorithms and intelligent risk analysis
  • Full Control with Real-Time Insights & Compliance: Gained instant visibility into hiring metrics, pipeline health, while maintaining enterprise-grade data privacy and compliance standards

Technology