AI × Cloud.
Building intelligent systems.
From model to infrastructure.
I build intelligent AI systems and the cloud infrastructure that powers them. I bring 3+ years of experience across software engineering, generative AI, APIs, and cloud automation.
mehrasamarth9@gmail.comIntelligence grounded in context. Tools built for reuse.
Years in software engineering
Less processing time · AWS Batch
Faster database reads and writes
Lower human support load
Junior engineers mentored · Tech Mahindra
Intelligence, engineered.
AI applications and cloud automation, built end to end. Explore the decisions behind the systems.
DocuMind
From a PDF to a grounded answer: a document intelligence platform with semantic retrieval, citation-backed responses, and reusable MCP tools.
NewsBot
Research that checks its own work: an agent that searches, evaluates, refines, and synthesizes current information into source-backed briefings.
Jenkins CI/CD · ECR container images
AWS Batch Automation
From manual file handling to automated processing: an AWS workflow connecting S3 events, containerized Batch jobs, and DynamoDB state tracking, delivered through Jenkins CI/CD.
The application.
And everything
underneath.
I’m a software engineer working at the intersection of AI applications and cloud infrastructure.
My work spans production RAG systems, autonomous agents, MCP integrations, backend APIs, AWS infrastructure, containers, CI/CD, and database migration. I connect the model’s capabilities to the engineering needed to deploy and operate the system.
INFRASTRUCTURE → DEPLOYMENT → MONITORING
One connected skill set.
Explore each layer to see how application intelligence connects to infrastructure.
Cloud Engineering
I built AWS Batch automation with S3 event triggers, Dockerized jobs, and DynamoDB state tracking. Manual data-processing automation reduced processing time by 70%.
An uploaded file triggers the processing workflow, removing manual file detection.
Select a delivery or infrastructure technology to explore its role.
Batch delivery
Cloud infrastructure experience
Additional cloud skills
Stores the Docker images used by the AWS Batch processing jobs.
AI Engineering
My AI engineering work spans retrieval pipelines, agents with conditional routing, and reusable MCP tools. Explore the capability map below.
React interfaces and FastAPI endpoints connect users to backend AI capabilities.
Built through delivery.
Software engineering across Canada and India, with practical systems and measurable outcomes.
New Delhi, India
Individual Design
Software Engineer
- Designed and deployed an AWS-hosted customer support chatbot using RAG, LangChain, and the OpenAI API, reducing incoming human chat load by 50% with context-aware answers.
- Led 3 engineers in migrating a legacy, human-dependent chatbot to an autonomous AI system, reducing escalations from 80% to 20% and cutting average response time.
- Implemented intelligent routing that hands queries to human agents when they fall outside model confidence.
- Extended the chatbot with end-to-end order checkout, enabling purchases directly within the chat interface and reducing checkout drop-off.
- Architected and maintained AWS infrastructure with Terraform for the production support platform, supporting high availability, scalable deployment, and backend integration.
- Integrated the platform with backend payment and order-processing systems to support reliable end-to-end transactions.
Toronto, Canada
Tech Mahindra
Software Engineer
- Automated manual data-processing workflows with AWS Batch, reducing processing time by 70%; demonstrated the solution directly to the client, leading to production adoption.
- Led a 3-engineer team to build an AWS Batch automation system with S3 event triggers, DynamoDB state tracking, and Dockerized jobs, eliminating manual intervention.
- Used Python to generate and configure AWS resources and delivered the Batch system through Jenkins CI/CD.
- Migrated the production database from Oracle to PostgreSQL, improving read/write performance by 50% and reducing storage overhead through database administration and performance tuning.
- Automated infrastructure provisioning at Tech Mahindra using Infrastructure as Code (IaC) with Terraform. Provisioned and configured EC2 instances and supporting AWS resources, standardizing environment setup and reducing manual configuration overhead.
- Configured VPC networking, security groups, and IAM permissions for least-privilege access; set up CloudWatch monitoring and alerts to surface infrastructure health issues.
- Rebuilt a legacy customer-facing interface with React, JavaScript, HTML5, CSS3, and OAuth, delivering a responsive experience that increased user engagement by 30%.
- Mentored 4 junior engineers through hands-on sessions on AWS services and database migration, accelerating onboarding and strengthening team delivery.
Depth across the stack.
Technologies and capabilities from my AI and cloud engineering experience.
AI & LLM engineering
Cloud & infrastructure
DevOps & containers
Programming & APIs
Databases & systems
Collaboration & delivery
Foundations that matter.
AWS Certified Cloud Practitioner
Amazon Web Services
HashiCorp Certified: Terraform Associate
HashiCorp
An engineering foundation.
Centennial College
Advanced Post-Graduate Diploma
Software Engineering Technology
Toronto · 2021
Guru Nanak Dev University
Bachelor of Technology
Computer Science and Engineering
Punjab · 2019
Let’s build something
intelligent.
I’m interested in AI and Cloud Engineering opportunities where I can build scalable intelligent systems, from the application layer to infrastructure.