Engineering Lead · Infosys (Canadian National Railway) · Montreal, Canada
📍 Greater Montreal Metropolitan Area · He/Him
11+ years building enterprise-grade systems — now bridging deep software engineering expertise with the world of Artificial Intelligence.
Software Development and Engineering Lead with over 11+ years of experience in software engineering, development, solution design, and end-to-end delivery.
Since 2019, I've been with Infosys, and for the past three years I've been working onsite in a consulting role for a major Canadian client — Canadian National Railway (CN) — leading backend engineering teams and delivering scalable enterprise solutions.
My core expertise lies in Java, Spring Boot, microservices architecture, and cloud platforms. I've led initiatives to modernize legacy systems, migrate critical data from Firestore to Cloud SQL, and build robust APIs integrated through Apigee.
Known for a hands-on approach to engineering leadership — passionate about clean architecture, team mentoring, and aligning technology with business goals — now actively expanding into AI and Machine Learning.
Building on 11+ years of enterprise engineering to enter the world of AI, ML, and intelligent systems.
Exploring large language models, prompt engineering, and automating knowledge work and software delivery.
LearningBuilding on Python fundamentals toward ML libraries, data pipelines, and intelligent application development.
In ProgressUnderstanding supervised/unsupervised learning, model evaluation, and real-world ML applications.
ExploringIntegrating AI tools into software workflows — code generation, intelligent testing, DevOps automation.
ApplyingEmbedding AI inference into microservice architectures — intelligence at enterprise scale.
ExploringApplying ML to predictive maintenance, anomaly detection, and intelligent operations in rail systems.
Domain AngleWith 11+ years building production systems for Class I railroads and global insurance platforms, I bring something rare to AI — real engineering depth. I know how distributed systems fail at scale, how to design clean data flows, and how to ship reliably to production.
I'm channeling this experience into understanding how AI can solve real problems in railroad operations, predictive maintenance, and intelligent document processing — domains I know from the inside.
My goal: become an AI-fluent engineer who can design, build, and deploy intelligent solutions — not just use them.
A full-stack, cloud-native skill set built through 11+ years of real enterprise delivery.
11+ years across railroad, insurance, and enterprise software — from Chennai to Montreal.
Open to AI projects, senior engineering roles, consulting opportunities, and conversations about tech & the future of software.
mail.prashanthsekar@gmail.com