Ramcharan
Ramanaharan
Business System Analyst & ML Researcher
Strategic systems analysis specialist and machine learning researcher based in Melbourne. I build automated workflows, optimize enterprise systems, and research spatial-temporal frameworks for video DeepFake detection.
Model Architecture
Layered Overview of Competencies & Credentials
Biographical Summary
Ramcharan Ramanaharan structures systems workflow transformations and deepfake detection algorithms. With an academic background centered on Data Science at MIT Melbourne, and systems evaluation at RMIT University, he applies machine learning techniques to real-world corporate challenges.
Core Competency Weights
Systems Analysis
Requirements, mapping BRDs, ITIL processes
Salesforce & CRM
Flow automation, pipeline optimizations
NOC Infrastructure
Zabbix servers, SNMP queries, virtualization
IT Automation
Python scripting, n8n webhook triggers
Machine Learning
Transformers, 3D-CNN frame architectures
Agile Leadership
Daily stand-ups, backlog sizing, JIRA boards
Credentials & Certs
Training Epochs
Chronological Timeline of Career Milestones
Business System Analyst
ACTIVE TARGETEasyweb Digital · Melbourne, VIC
Achieved Parameters:
- ✔Automated DNS-over-HTTPS configurations across 2,000+ customer devices with Python scripts, eliminating hundreds of manual tasks.
- ✔Re-architected Salesforce flows supporting ITIL change requests and network asset registers.
- ✔Integrated Zabbix alarm nodes with Salesforce ticket systems using n8n workflows.
- ✔Conducted SNMP walk discovery on 5,000+ endpoints to construct structured network inventories.
AI Researcher
Outlier.ai · San Francisco (Remote)
Achieved Parameters:
- ✔Audited large language model responses to ensure mathematical accuracy and coding standard alignment.
- ✔Designed edge-case prompts forcing failures to improve model validation checks.
- ✔Collaborated with international developers to refine model training criteria.
Associate Team Lead
ACTIVE TARGETExogravitaz · Colombo, Sri Lanka
Achieved Parameters:
- ✔Orchestrated Agile scrum stand-ups, sprint mapping sessions, and retrospective audits.
- ✔Administered tasks and sprint burndowns on Jira boards.
- ✔Assumed leadership of cross-functional team deliverables.
System Administrator
ACTIVE TARGETNorthshore College · Colombo, Sri Lanka
Achieved Parameters:
- ✔Managed domain environments utilizing Active Directory, VMware ESXi hosts, and Linux networking devices.
- ✔Managed security patches, backups, and solved high-priority workstation incidents.
Validation Benchmarks
Published Academic Contributions & ML Models
Master of ICT Research (Data Science / ML focus)
Melbourne Institute of Technology
Thesis: A Machine Learning-Based Approach To Analyze And Detect DeepFakes
Bachelor of Information Technology
RMIT University
Focus Area: Systems analysis, database schemas, and IT infrastructures
DeepFake video detection: Insights into model generalisation — A Systematic review
Authors: Ramcharan Ramanaharan, Deepani B. Guruge, Johnson I. Agbinya
ViVIT-I3D: A Hybrid Spatial-Temporal Framework for Enhanced Video DeepFake Detection
Authors: Ramanaharan, R., Guruge, D. B., Agbinya, J. I.
A Machine Learning-Based Approach To Analyze And Detect DeepFakes
Authors: Ramanaharan, R.
Model Deployments
Active Production Pipelines & Integrations
AI-Native CRM
An automation-focused CRM tailored for micro-businesses, utilizing Supabase, Next.js, and Cursor to execute lead routing, auto-categorize pipelines, and optimize follow-up triggers.
DNS-over-HTTPS Automated Deployment
A Python script executing automated secure DNS profile pushes across 2,000+ remote customer routing units. Replaces standard manually-conducted configuration routines.
Salesforce-ITSM Change Controls
Re-architected the corporate Salesforce configuration to support change management tickets, asset tracking, and ITIL workflows. Connects NOC event systems directly into case desks.
Zabbix NOC Monitoring Profile
Optimised telemetry polling profiles for 5,000+ device endpoints. Formulates custom trigger rules and structures, avoiding redundant SNMP metrics and lowering network operations noise.
OnLoad Digital Platform
Comprehensive optimized client facing platform designed for speed and reliability, incorporating clean database architectures and responsive interface elements.
API Handshake
Establish Contact Connections & Integration
// Initialize connection parameters:
const destinationEmail = "rramcharan1001@gmail.com";
const candidateLocation = "Melbourne, Australia";
const handshakeStatus = "Online";
// Trigger direct mail link:
dispatch_connection_handshake()