Skills

My technical expertise and capabilities

High Demand Skills

Mixed Skills Team Management Expert
Full-Stack SaaS Delivery (Laravel & React) Advanced
AI Integration & Evidence-Grounded Generation Advanced
Certified Scrum master (CSM) & SAFe Scrum Master (SSM) Expert
Stakeholder Management Expert
Software Delivery Expert
Atlassian Jira & Azure DevOps Expert
Knowledge libraries: Wiki & Confluence Expert
Coaching & Mentoring Expert
Decision Maker Expert

Skill Categories

Knowledge Key using for Skill level shown for each skill is as follows: 1 => Novice, 2 => Beginner, 3 => Experience, 4 => Advanced, 5 => Expert

Technical Skills

Key skills learned In Software Engineering.
All Yrs Experience

5IT Operations 5Tech Requirements 5Tech Vision 5Tech Leader 4Product Delivery 5Tech Services 5HTML 5Tech Direction 5Web Services 4GIT 4Services Delivery 4PHP 4C#.Net 4StyleSheet:CSS,SCSS 4JavaScript 3Angular 2 3Kubernetes 3TypScript 3Docker 3Selenium 3Postman 3Figma 3Node.js 3Release Readiness 3Release Planning 3Rollback

Managerial Skills

Key Skills that I have in way of Governance.
All Yrs Experience

5Agile Leadership 5Agile Ceremonies 5Agile Coaching 5Project Planning 5(CSM) Scrum Master 53rd-Party Relations 5Risk Management 5Incident Manager 5Line Management 4Development Lead 4Stakeholder Comm 4Delivery Manager 4SAFe Scrum Master 4Project Governance 3Dependencies 3Change Manager 3Project Management 3Release Manager 4Engineering Manager
Personal

Personal Skills

My Personal Skills that I bring as myself.

Communication Teamwork Engage Clients Team Building Problem Solving Decision Maker Approachable Friendly Professional Forward Thinker Influencing Skills Continuous Learning Active Listening Hands-on Techie Empathy and Emotional Intelligence Software Development Life Cycle (SDLC) Facilitation Skills

AI Engineering

Built and operate a production AI pipeline inside ATS Engine, recruitment software for agencies — CV analysis, candidate matching, document generation, interview preparation and mail classification. The interesting engineering is not calling a model; it is making the output defensible, affordable and predictable.

Pipelines & Agents

Multiple specialised agents behind one product, each with its own prompt, budget and failure behaviour.

LLM Integration Prompt Engineering Agent Design OpenAI API Queued Background Jobs Token Budgeting Chunking Strategies Model Selection

Grounding & Trust

Generated claims traced back to the line of source evidence they came from, so a document can be defended rather than hoped for.

Evidence Grounding Hallucination Control Provenance Tracking Retrieval Context Explainable Scoring Published Weightings Human Review Paths

Cost & Governance

Per-agent token and spend tracking priced from a single rate table, with plan gates that fail closed rather than open.

AI Cost Tracking Usage Auditing Rate Limiting Allowance Enforcement Fail-Closed Gating Data Isolation Audit Logging

Knowing when not to use a model

The judgement that matters most in production. Several features in ATS Engine deliberately use no AI at all — candidate readiness is a rule-based checklist so it gives the same answer twice and can be audited line by line; interview prep packs are built from deterministic skill detection so they return instantly; mail classification runs on editable senders, patterns and keywords the user can inspect and change. A model is used where judgement is genuinely needed, and nowhere that a rule does the job more cheaply, more quickly, or more defensibly.

Tools & Technologies

Platform & Backend

PHP, Laravel, MySQL, REST APIs, Nginx, Linux VPS

AI Engineering

LLM integration, prompt engineering, evidence grounding, cost governance

SaaS & Commercial

Multi-tenant architecture, subscription billing, PayPal, SEO, attribution — see the compliance reference

CloudOps

AWS (S3, EC2), Azure DevOps

Version Control

Git, GitHub, GitLab, SVN

Development Tools

VS Code, WebStorm, Visual Studio

Testing & QA

Selenium, Postman, release readiness

Mobile Development

BootStrap

Design Tools

Figma, Adobe, PhotoPad

Ticketing System

Atlassian Jira, Azure DevOps, Trello

Information

Atlassian Confluence, Azure Wiki

Planning

Microsoft Project

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