Chandrashekar H D

WORK HISTORY

EDUCATION

ABOUT CHANDRASHEKAR H D

I am a Lead Software Engineer with 20 years of experience delivering secure, intelligent, and high‑availability platforms across payments acceptance, digital checkout, tokenization, and authentication, along with large‑scale air‑transport systems. My work blends deep engineering expertise with hands‑on technical management, architecture leadership, and modern AI‑driven engineering practices.My technical focus today is on design, architecture and Java-based distributed systems —Spring Boot, microservices, event-driven design, API development. I also bring solid experience in C++/C systems development, gained from mission-critical aviation and cybersecurity platforms.Across my career, I’ve contributed in key roles including Lead Engineer, Senior Architect, Technical Manager, SME, and Onsite Lead—guiding design, leading teams, driving modernization efforts, and supporting complex delivery across global engineering environments. I’m known for strong analytical and problem‑solving skills, clear system design, communication, and deep product lifecycle understanding.Domain Expertise (Primary → Secondary)• Checkout & Payment Acceptance – Unified Checkout, SRC/Click to Pay, wallets, tokenization, 3DS/SCA, FIDO, risk signals• Air‑Transport Systems – flight planning, baggage (753), departure control• Cybersecurity & Endpoint Engineering – AI-powered detection & response• Banking & Financial SystemsCore Technical StrengthsJava, Spring Boot, REST APIs, microservices, distributed systems, pub-sub solutionsEvent-driven architectures C++/C, OOP, multithreadingAI/ML integration – LLMs, RAG, agentic AI, automation toolchainsOracle, Cassandra (certified), PL/SQL, NoSQLKubernetes, containers, CI/CD, observabilityArchitecture, system design, SOA, performance and scalability engineeringCertifications• Mindtree Certified Project Manager (MCPM)• Cassandra Certified Administrator• Microsoft AzureIn recent years, I’ve been closely involved in AI-led engineering transformation, integrating LLMs, agentic AI workflows, RAG pipelines, ML-assisted automation, intelligent components, and secure GenAI guardrails to improve architecture, analytics, and engineering efficiency. This work earned me Visa’s GenAI Trailblazer Award (2025).I enjoy building systems that are intelligent, resilient, scalable, and cleanly engineered, bringing together architecture, AI, and practical engineering to solve complex industry challenges.