Pranavanathan M | AI Enthusiast • Software Developer • Atlassian Tools Administrator

Professional Identity

Beyond the Job Title

An interconnected discipline bridging intelligent software engineering, machine learning applications, and enterprise work management platforms.

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AI Enthusiast

Exploration & ML

Exploring how Artificial Intelligence improves productivity, automated decision-making, and software workflows. Hands-on capstone experience developing real-time anomaly detection pipelines and verified IBM AI suite fundamentals.

Anomaly Detection IBM SkillsBuild Prompt Engineering Workflow Intelligence

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Software Developer

Full-Stack & Backend

Building scalable applications, normalized MySQL database architectures, RESTful API integrations, and responsive front-end user interfaces using Python, JavaScript, and Groovy with clean object-oriented design.

Python JavaScript (ES6+) RESTful APIs MySQL Schemas Forge CLI

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Atlassian Administrator

Cloud Platforms & ITSM

Managing Jira Cloud, Jira Software, Jira Service Management (JSM), and Confluence. Architecting company-managed scheme migrations, automated validation scripts, SLA tracking engines, and custom ScriptRunner listeners.

Jira Cloud JSM SLAs ScriptRunner Advanced JQL Confluence KB

⚡ TECHNOLOGY + AUTOMATION + INTELLIGENCE ⚡

Engineering Philosophy & Journey

Based in Cuddalore, Tamil Nadu, I graduated with a Bachelor of Technology in Computer Science & Engineering from Christ College of Engineering and Technology (2022–2026). My work focuses on where software engineering meets automated enterprise execution.

At Thrive Tech, I engineered automated backend jobs and ScriptRunner event listeners that eliminated manual administrative tasks by 40%. During engagements with HCL Syneos, I guided Cloud-to-Cloud architecture migrations across 7 core schemes and engineered executive analytics engines driven by complex JQL filters.

40%

Reduction in manual admin tasks

7 Schemes

Mapped in Cloud-to-Cloud migration

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B.Tech in Computer Science & Engineering

Christ College of Engineering and Technology, Puducherry

2022 – 2026 • Graduate

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Software & Automation Engineer

Thrive Tech • Cuddalore, TN

06/2026 – 08/2026 (Intern: 10/2024 – 05/2026)

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Enterprise Engagements

HCL Syneos & ICICI Prudential

Cloud Architecture, Migration & Workflow Standardization

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Availability

Immediate Joiner

Zero Notice Period

Artificial Intelligence & Research

AI & Emerging Technology

Grounded in genuine exploration, machine learning fundamentals, and applied implementations. Clearly labeled by practical stage of engagement.

🔍 Applying

Applied Anomaly & Fraud Detection

Designing real-time data preprocessing, outlier removal, and classification threshold tuning in Python to identify high-risk transactions with low-latency inference.

Domain: Machine Learning Algorithms • Capstone

⚡ Experimenting

Generative AI & Developer Velocity

Leveraging modern LLM APIs and prompt engineering patterns to accelerate script drafting, optimize Groovy listeners, and automate repetitive unit tests.

Domain: LLMs • Developer Tooling

🤖 Exploring

AI + Atlassian Intelligent Triage

Conceptualizing automated sentiment analysis, priority prediction, and intelligent categorization for Jira Service Management customer requests.

Domain: ITSM Intelligence • Conceptual Architecture

⚙️ Applying

Intelligent Workflow Automation

Pairing event triggers, REST API webhooks, and conditional logic to eliminate manual handoffs and ensure deterministic workflow throughput.

Domain: ScriptRunner • Python • Jira Automation

🔌 Learning

AI APIs & Integration Services

Integrating external cognitive endpoints, natural language processing APIs, and RESTful webhooks to augment business platform functionality.

Domain: REST Web Services • Cloud Endpoints

🎯 Exploring

Prompt Engineering for Automation

Developing structured system prompts, JSON output constraints, and few-shot templates for consistent data extraction and workflow invocation.

Domain: Prompt Architecture • Data Extraction

Signature Integration

AI × Atlassian

"Exploring the future of intelligent work management."

Conceptual Architecture & Research

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USER REQUEST

Portal / Ticket

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AI

Model Inference

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UNDERSTAND

Intent & Priority

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AUTOMATION

Event Engine

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JIRA

Issue Creation

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WORKFLOW

Validation & SLAs

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REPORTING

JQL Aggregation

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INSIGHT

Executive KPIs

AI → ANALYZE

Cognitive Triage

Evaluates incoming unstructured requests, predicting ticket urgency and routing to appropriate queues.

AUTOMATION → EXECUTE

Event Triggering

ScriptRunner & native rules execute transitions, synchronize webhooks, and map cascading fields without human delay.

JIRA → TRACK

Structured Lifecycle

Manages issue state, permissions, assigned ownership, and continuous SLA calculation clock.

CONFLUENCE → DOCUMENT

Knowledge Capture

Auto-generates incident retrospectives and updates internal troubleshooting runbooks automatically.

DASHBOARD → MEASURE

Actionable Telemetry

Translates advanced JQL query streams into live burndowns, velocity metrics, and executive charts.

Developer Workspace

Engineering & Development

Production-grade code architecture spanning Python algorithm design, Groovy ScriptRunner listeners, Atlassian Forge JavaScript UI extensions, and relational MySQL schemas.

Inference Engine: Ready

Ready to execute selected script. Click "Run Simulation" above.

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Programming

Python JavaScript (ES6+) Groovy SQL (MySQL) Java Fundamentals

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Web Development

HTML5 CSS3 Responsive UI Design Front-End UI Design Web Dev Tools

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Backend / APIs

RESTful APIs JSON Web Services Webhooks Backend Integration Data Pipelines

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Database & Logic

MySQL Relational Schema Design Data Normalization (3NF) ACID Compliance Query Optimization Advanced JQL

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Tools & Platforms

Git / GitHub Atlassian Forge CLI Android Studio YouTrack VS Code

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Automation & Workflow

ScriptRunner Engine Jira Automation Architecture Custom Event Listeners Scheduled Jobs Agile (Scrum / Kanban)

Enterprise Mission Control

Atlassian Command Center

An interactive enterprise operations console managing Jira Cloud schemes, JSM service queues, Confluence knowledge systems, rule automations, and advanced JQL telemetry.

Jira Cloud Architecture

Cloud Engine: Active

CONFIG INSPECTOR: [PROJECTS & SCHEMES]

Portfolio Work

Things I've Built

Authentic software applications, machine learning capstone systems, and enterprise automation engines directly from my professional engineering experience.

realtime_anomaly_stream.py — Inference: 3.8ms

STREAM STATUS: ● INGESTING 14.2k pkt/s

ACCURACY: 98.4% PRECISION

FINAL YEAR CAPSTONE PROJECT Lead AI Developer

Real-Time Fraud Detection System using AI

Increased fraud detection by 95% by engineering a real-time anomaly detection pipeline in Python, evaluating high-frequency streaming financial transactions and flagging anomalies with sub-5ms latency.

Problem: High-frequency streaming transactions contain heavily imbalanced fraud samples and excessive false-positive operational alerts.

Solution: Engineered vectorized outlier removal, log-scaling normalization, and calibrated classification thresholds for precision/recall balance.

Key Functionality: Sub-5ms inference latency, automated feature engineering, real-time threshold scoring, and high-throughput stability benchmarks.

database_engine.sql — MySQL 3NF Normalization

RELATIONAL SCHEMA: ZERO REDUNDANCY (3NF)

TRANSACTION INTEGRITY: 100% ACID ENFORCED

SELECT s.name, c.gpa FROM students s JOIN enrollments e ON s.id=e.student_id;

FULL-STACK & DATABASE APPLICATION Full-Stack Lead

Student Information & Academic Management System

Designed and deployed a full-stack database application enabling secure management, relational enrollment tracking, and rapid retrieval of academic records.

Problem: Unstructured manual records, duplicate student profiles, and slow multi-table lookups without input validation.

Solution: Architected a normalized 3NF MySQL schema with foreign key cascades, integrated responsive UI endpoints, and parameterized queries.

Key Functionality: Parameter-sanitized SQL queries, zero data redundancy, client/server input validation routines, and structured error handling.

forge_manifest.yml — Jira Issue Panel Resolver

FORGE UI COMPONENT: jira:issuePanel

VELOCITY SYNC: REAL-TIME WEBHOOK

asApp().requestJira(route`/rest/api/3/issue/${key}`);

ENTERPRISE PLATFORM EXTENSION Thrive Tech

Atlassian Forge Custom Extensions & UI Suite

Programmed serverless UI extensions and interactive panels using JavaScript and Atlassian Forge CLI, integrating real-time telemetry directly into Jira Cloud issue screens.

Problem: Native Jira Cloud interface lacked contextual sprint velocity widgets, forcing developers to switch external tools.

Solution: Built serverless Forge resolvers communicating with Jira Cloud REST APIs to hydrate inline velocity charts and SLA trackers.

Key Functionality: Serverless backend resolvers, authenticated REST API payload processing, bi-directional issue property synchronization, and sub-second rendering.

migration_auditor.groovy — 7 Schemes Verified

DATA INTEGRITY: 100% RETENTION

CUTOVER DOWNTIME: ZERO DOWNTIME

AuditResult: 7/7 Schemes Validated. All User IDs Mapped.

ENTERPRISE ENGAGEMENTS HCL Syneos & ICICI Prudential

Cloud-to-Cloud Architecture & Workflow Standardization

Managed the governance migration of enterprise projects from Team-managed to Company-managed architectures and workflow standardizations across HCL Syneos and ICICI Prudential.

Problem: Team-managed project silos caused fragmented permission trees, redundant fields, and inability to produce executive reporting.

Solution: Engineered Python and Groovy validation scripts verifying user mapping, attachment fidelity, and permission matrices during cutover.

Key Functionality: Automated scheme mapping, API payload validations, post-cutover data integrity verification, and YouTrack to Jira standardization.

Enterprise Case Studies

Atlassian Solutions

Visual breakdown of end-to-end optimizations across Jira workflows, service desk queues, event-driven automation, and executive dashboards.

CASE 01 • WORKFLOW GOVERNANCE

Jira Workflow Optimization

HCL Syneos & Thrive Tech

Transforming fragmented team-managed lifecycles into standardized company-managed workflows with deterministic transition gates and zero skipped validation states.

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⚠️ Problem

Inconsistent team silos, field bloat & unvalidated status skipping

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📐 Workflow Design

Standardized company-managed states & role permission matrix

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⚙️ Configuration

Transition validators, condition gates & required field schemes

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⚡ Automation

Automated status transitions, assignment loops & SLA timers

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🏆 Result
7 schemes unified, 100% data fidelity & zero skipped QA states

✓ Result: Standardized 7 enterprise schemes with 100% data integrity retention and 40% reduction in admin manual overhead.

CASE 02 • ITSM SERVICE DESK

Jira Service Management

ITIL / ITSM Practice

High-velocity service desk engineering featuring dynamic customer portal ingestion, automated queue sorting, and strict multi-calendar SLA timers.

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📥 Request

Customer portal ingestion with dynamic cascading fields

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🗂️ Queue

Urgency triage queues filtered by priority & engineer specialty

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⏱️ SLA

Multi-calendar clock with pause rules & 20% breach warnings

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🔄 Workflow

ITIL investigation, customer collaboration & approval gates

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🎯 Resolution
1-click resolution, automated CSAT survey & KB deflection

✓ Result: Maintained > 98.5% SLA compliance, sub-15min first response, and deflected 35% of repetitive requests via Confluence KB.

CASE 03 • AUTOMATION ENGINE

Jira Automation

ScriptRunner & Native Rules

Event-driven automation ecosystem combining native Jira Automation rules with ScriptRunner Groovy listeners to intercept transitions and trigger external services.

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⚡ Trigger

Issue created, status transition, webhook, or scheduled cron

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⚖️ Condition

Smart values evaluation (regex, priority, branch conditions)

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🛠️ Action

Field updates, automated sub-task generation & REST POST webhooks

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📢 Notification
Rich Slack war-room alerts & personalized customer emails

✓ Result: Eliminated 40% of manual repetitive administrative tasks across team backlog management.

CASE 04 • ANALYTICS TELEMETRY

Jira Dashboard

EazyBI & Advanced JQL

Formulating complex JQL queries and real-time dashboard gadgets to deliver executive visibility into sprint velocity, open blockers, and SLA compliance.

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🔍 JQL

Formulate multi-conditional historical & status duration queries

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📑 Filter

Standardized enterprise filters with scheduled subscriptions

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📊 Dashboard

Sprint burndown, CFD bottlenecks & two-dimensional matrix gadgets

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📈 Insights
Predictable sprint capacity forecasting & SLA compliance telemetry

Programming (Python, JavaScript ES6+, Groovy, Java Fundamentals) Proficient

Web (HTML5, CSS3, Responsive UI Engineering, Web Dev Tools) Certified Full-Stack

APIs (RESTful APIs, JSON Web Services, Webhooks, Integrations) Advanced

Git (Git, GitHub, Version Control & Branching Workflows) Standard Practice

Databases (MySQL Schema Design, 3NF Normalization, Indexing) Advanced

Jira Cloud (Platform Administration, Schemes, Security & Governance) Enterprise Practice

Jira Software (Scrum/Kanban Boards, Sprint Velocities, Backlogs) Enterprise Practice

JSM (Jira Service Management, Request Types, Queues, Multi-Tier SLAs) Specialized

Confluence (Spaces, Documentation, Self-Service Deflection KB) Proficient

JQL (Advanced Multi-Conditional Queries, Filters, Subscriptions) Expert

Workflows (Multi-Step Transitions, Post-Functions, Validators) Advanced

Automation (Native Automation Rules, Smart Values, ScriptRunner) Advanced

Enterprise Apps (eazyBI, Big Picture, Zephyr Scale, Structure, Xray) Specialized

Problem Solving (Analytical Thinking, Algorithms, Data Structures) Core Competency

Troubleshooting (L2/L3 Software & Workflow Diagnostics, API Sync) Experienced

Process Optimization (Automating Administrative Routines by 40%) Demonstrated Impact

Technical Support (ITIL/ITSM Service Delivery, Customer Engagement) Experienced

Documentation (System Runbooks, Architecture Blueprints, SOPs) Standard Practice

Verified Certifications

+91 7826957220

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Location

Cuddalore, Tamil Nadu, India

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LinkedIn Profile

linkedin.com/in/pranavanathan-m-78a92a286

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GitHub Repository

github.com/Pranav0120-arch

📥 Download Resume

Building. Automating. Innovating.

"Technology is more than code. It's about making work smarter."