DANISH IQBAL
***************@*****.***
Strategic professional accustomed with proven technical and management skills; targeting challenging and rewarding opportunities as Senior Technical Lead with an organization of repute Core Competencies
PHP Core, Laravel, Codeigniter
Scalable Backend & API-Driven
System Design
Django/FastAPI Development
Generative AI & Agentic AI
Architecture
LLM Integration (LangChain,
LangGraph, AI Workflows)
Blockchain Smart Contract
Development (ERC20, ERC721,
ERC1155)
Web3 & Decentralized
Application (dApp) Architecture
Cloud-Native Development &
DevOps (AWS, Docker, Nginx)
Engineering Leadership, Code
Quality & Mentorship
High-Performance Systems &
Secure Application Development
Team Building & Leadership
Technical Skills
AI & Machine Learning
● LangChain, LangGraph
● Agentic AI, LLM integrations
● Generative AI application
development
Blockchain
● Solidity Smart Contracts:
ERC20, ERC721, ERC115
● Vesting, upgradable, clone
contracts
● Account abstraction,
contract optimization
Backend
● Python, Django
● ElasticSearch, Node.js
● PHP: Laravel, CodeIgniter,
Core PHP
Profile Summary
● Seasoned Technical Architect and PHP Engineering Leader with 14+ years of experience designing and delivering scalable, high-performance web applications using PHP, Laravel, and modern backend technologies. Proven expertise in building enterprise-grade platforms, architecting robust APIs, and leading engineering teams to deliver reliable and maintainable software solutions.
● Specialized in Laravel ecosystem and PHP-based architectures, including microservices, RESTful APIs, distributed systems, and cloud-native deployments, ensuring high scalability, performance optimization, and secure backend infrastructure.
● Strong advocate of clean architecture, SOLID principles, and API-first development, consistently improving code quality, system reliability, and maintainability through well-structured design patterns and engineering best practices.
● Experienced in solution architecture and technical leadership, translating complex business requirements into scalable technical solutions while guiding development teams, reviewing architecture decisions, and ensuring high engineering standards.
● Proficient in backend performance optimization, database architecture, and system scalability, working with technologies such as MySQL, Redis, caching strategies, queue systems, and asynchronous processing to support high-traffic applications.
● Additionally experienced in Python and AI-powered systems, integrating intelligent automation and modern AI capabilities into backend platforms to enhance business workflows and product innovation.
● Recognized as a people-centric technical leader, mentoring engineering teams, driving Agile delivery practices, and aligning technical strategy with product vision and organizational growth.
Career Timeline
Work Experience
Since Jan’19 AR LAB
Technical Architect/Lead
Technologies: Generative AI, Agentic AI, Python, Django, Pandas, NumPy, Blockchain Smart Contracts, Solidity, Laravel, Node.js, Elasticsearch
● Spearheading the entire gamut of Solution Architect activities, including architecture design, roadmap planning, hands-on coding, and peer reviews for a modernized recertification system within a large-scale authorization platform.
● Providing technical leadership and mentorship to cross-functional teams, driving architectural decisions, enforcing coding standards, and ensuring delivery of scalable, secure, and high-performance solutions.
● Acting as Python & AI Technical Lead, owning backend design and development using Python (FastAPI/Django/Flask), designing clean, modular, and testable codebases, and guiding teams on best practices, performance optimization, and secure coding.
● Designing and developing RESTful and event-driven APIs in Python, integrating with databases, message queues, search engines, and third-party services to support enterprise-grade workloads.
● Engineering and delivering AI-driven applications, leveraging LangChain, LangGraph, Large Language Models (LLMs), and agentic workflows to enable intelligent automation, reasoning, and decision-making systems. Frontend
● Angular
● HTML5, CSS3, JavaScript,
jQuery
DevOps & Cloud
● Apache, Nginx, Docker
● AWS: EC2, S3, RDS, SNS,
Load Balancer, server
configuration
● Google Cloud deployment &
configuration
Databases
● MySQL, PostgreSQL,
Supabase
Other Tools
● XMPP (Ejabberd, Openfire)
● PHP Socket Programming,
Node socket.io, web RTC
(video chat)
● Git, Bitbucket
● Jira, Basecamp, Lighthouse,
Agile methodologies
● SonarQube (code quality)
Education
● Master of Computer
Application Integral
University, Lucknow, 2011
● B.Sc. in Information
Technology Allahabad
Agricultural University
Deemed University,
Allahabad, 2005.
Highlights
● Best Developer of the Year –
Appster
● 2 Applause Award –
Performer of the Month
● 3 Appsterfarian of the
Week Award
● Project of the Year – “My
Own CFO”
● Project of the Year –
“Splashflood App”
● Winner – Hackathon 1.0
Coding Championship
(Appster)
● Winner – Web Development
Competition (CSI)
● Significant contribution to
STORAGE TECHNOLOGY DAY
by EMC at Integral
University
Personal Details
Languages: English & Hindi
Address: Gurugram
● Leading backend architecture across PHP Laravel Python, Node.js, and Elasticsearch, ensuring fault tolerance, scalability, observability, and seamless integration across services.
● Implementing Agile/Scrum methodologies, contributing to sprint planning, estimation, backlog grooming, and ensuring timely delivery with high quality.
● Defining and executing test strategies, including unit, integration, and performance testing, to ensure functionality, scalability, and system reliability. Previous Experience
Feb’13-Dec’18 APPSTER
Lead Software Developer (Team Lead)
Technologies: Laravel, HTML, CSS, JavaScript, jQuery
● Directed end-to-end delivery for development teams, strategically allocating tasks, coordinating execution and ensuring on-time, high-quality project outcomes.
● Engineered robust, scalable, and secure enterprise-grade web applications, adhering to MVC principles, clean architecture standards, and performance-driven design.
● Strengthened application reliability and efficiency through technical planning, conducting in-depth code reviews, resolving complex issues, and contributing to API development, database optimization, and seamless module integration.
● Successfully delivered 25+ projects as a Developer and led/reviewed 30+ projects at Appster, while completing 50+ commercial websites for clients at Aromatyk Pvt. Ltd. Jan’12-Jan’13 Aromatyk Pvt. Ltd.
Senior Web Developer
Technologies: Core PHP, HTML/CSS, JavaScript, jQuery
● Successfully delivered 50+ websites and custom modules for various clients. Jul’11-Dec’11 Analog Systems
Web Developer
Technologies: Core PHP, HTML/CSS, JavaScript, jQuery
● Successfully delivered functional, responsive websites as a key contributor within the core development team.
Key Projects
Qlicr (PHP Laravel)
● Delivered an enterprise front-office and payroll platform for an Australian client, integrating 600+ APIs to handle tax calculations, superannuation, payroll tax, statutory deductions, leave management, awards interpretation, and payroll-tax compliance.
● Engineered a scalable, API-heavy backend architecture, enabling accurate execution of complex payroll business rules and calculations at enterprise scale. Avatr (PHP Laravel)
● A Web3, blockchain-powered P2P recruitment platform that tokenizes work performance and participation via NFTs, where candidates and employers own a digital
“Avatr” of fractionalized NFTs to track activity and enable a token-based reward ecosystem.
TheVibeX https://thevibex.app/
● Built and launched TheVibeX from scratch, developing the backend in Python and Django with scalable REST APIs, optimized PostgreSQL queries, and Docker-based containerization.
● Integrated Anthropic (Claude) API for AI features and deployed the application using Nginx, ensuring a production-ready and scalable system. Tech Stack: Python, Django, React, Anthropic API (Claude), PostgreSQL, Docker, Nginx, REST APIs
EQuIP_3B -AI Model for Elasticsearch Query GenerationHugging Face: https://huggingface.co/EQuIP-Queries/EQuIP_3B
● Fine-tuned Qwen2.5-3B-Instruct on an extensive dataset of Elasticsearch examples, enhancing accuracy for natural language to Elasticsearch query conversion.
● Successfully published the optimized model on Hugging Face, making it production-ready and accessible for AI-driven search applications. Training Details:
● Base Model: Qwen2.5-3B-Instruct
● Hardware: NVIDIA A100 GPU
● Training Time: 11 hours
● Cloud Provider: Vast.ai