Manish Meshram

About Manish Meshram

I work at the intersection of enterprise architecture, data platforms, and applied AI, helping organisations design and evolve technology foundations that enable informed decision-making at scale. My focus is on building secure, scalable, API-driven platforms that support long-term business objectives rather than short-term delivery milestones.With over 22+ years of experience, I have operated across the full lifecycle of large-scale systems — from hands-on engineering to principal-level architecture and senior technology leadership. I specialise in shaping cloud-native, distributed platforms that balance technical rigour, commercial realities, and operational sustainability. My work increasingly centres on architectures where data, knowledge, and intelligence are treated as strategic assets, embedded into the fabric of the organisation rather than confined to individual systems.In leadership roles, I am accountable for architectural direction across programmes and portfolios, guiding teams through complex trade-offs involving scale, security, cost, and change. I work closely with executive stakeholders across business, product, and delivery to ensure technology decisions align with organisational strategy, risk posture, and long-term value creation.I place strong emphasis on clarity of thought, disciplined execution, and sound judgment under uncertainty. This includes building high-performing teams, establishing governance that enables progress without unnecessary friction, and creating environments where technical excellence supports business outcomes.Alongside my professional responsibilities, I continue to invest in formal and applied learning across business strategy and AI, strengthening my ability to connect technology leadership with commercial impact and organisational growth: Current Role :Director (Principal) – Architecture, LTIMindtree: Education & Certifications :MBA (2026) – University of Western Australia & IIM KozhikodeAI/ML Diploma – University of Texas at AustinWharton Certificate – AI for BusinessAWS Certified: Core Competencies :Enterprise & Solution Architecture · Technology Strategy & Roadmapping · Cloud-Native & Distributed Platforms · Data Platforms & Applied AI · Architecture Governance & Risk Management · Senior Stakeholder Engagement · Technical Leadership & Mentoring · Agile & Delivery Oversight · Java, Node.js, AWS · CI/CD & Platform Engineering

Experience

1. Director (Principal) - Architecture

   LTIMindtree

   Oct 2024 — Present · Mumbai, IN

   Provided architectural leadership for the design and scaling of a core enterprise knowledge and data backbone supporting insight-driven software delivery across multiple engineering platforms. The platform serves as a shared foundation for engineering intelligence, security observability, and SDLC-level decision support.Accountable for architectural direction across platform strategy, APIs, security and compliance, ML integration, and PI planning, with a focus on scaling earlier engineering intelligence initiatives into a governed, enterprise platform.Enterprise Knowledge & Data Platform Strategy :Evolved and governed the reference architecture for an enterprise knowledge platform addressing SDLC data silos and cross-tool fragmentation. Scaled core capabilities including ingestion, correlation, clustering, session tracing, ontology management, and API cataloguing. Reinforced API-first and platform-as-a-product principles for reuse and extensibility.Security, Compliance & SSDLC Leadership :Extended secure SDLC foundations into an enterprise-aligned security and compliance architecture. Led alignment with RBAC, encryption, SIEM integration, and automated vulnerability scanning (SAST, SCA, DAST). Guided platform hardening and audit readiness aligned with BCP, BIA, and SBOM requirements.AI / ML Integration & Intelligence Enablement :Built upon earlier ML-driven engineering intelligence work to embed correlation, clustering, and intelligent services as platform capabilities. Oversaw ML-enabled API integration to ensure scalability, governance, and enterprise operability.Planning, Governance & Delivery Enablement :Provided architectural leadership across PI planning, governance, and cross-team adoption, balancing architectural consistency with delivery velocity through reviews and structured enablement.

Education

• The University of Texas at Austin

  Post Graduate Program, Artificial Intelligence & Machine Learning

• University of Mumbai

  B.E.(Bachelor of Engineering), Electronics

  1995 — 1999

• The University of Western Australia

  MBA - Global | In Progress | Graduating 2026

  2024 — 2026

• Indian Institute of Management, Kozhikode

  Professional Certificate Programme, Advanced Business Management

Skills

• Software Development Life Cycle (Sdlc)
• Business Process
• Java
• Software Project Management
• Crm
• Database Design
• Agile Methodologies
• Sql
• Service-Oriented Architecture (Soa)
• Scrum
• Sdlc
• Solution Architecture
• Java Enterprise Edition
• Pl/Sql
• Oracle
• Requirements Analysis
• Ejb
• Design Patterns
• Project Management
• Web Services
• Soa