## 🐍 GitHub Contribution Snake
❯ taufiq --status --verbose
{
"focus": "Scaling Multi-Tenant ERPs & Multimodal RAG with Hallucination Defense",
"stack_sweet_spot": [
"Node/TypeScript",
"PostgreSQL",
"AWS Microservices",
"PyTorch/LLMs"
],
"track_record": {
"enterprise_scale": "Powering ERPs for 100+ institutions & Tier-1 manufacturing",
"leadership": "Founder @ Softlligence (15 engineers strong)",
"research": "3 academic ML papers (published + under review)"
},
"runtime_philosophy": "Write code clear enough that junior engineers don't fear it and robust enough that on-call never wakes you up."
}system:
status: "ONLINE (99.98% SLA)"
current_role: "Founder & Lead Architect @ Softlligence Technologies"
active_daemon: "Scaling Multi-Tenant Manufacturing ERPs & RAG Pipelines"
memory_footprint:
languages:
- TypeScript
- Python
- Go/PHP
- SQL
frameworks:
- Node.js
- Express
- Next.js
- Laravel
- PyTorch
infrastructure:
- PostgreSQL
- Prisma
- Docker
- AWS (EC2/S3/RDS)
environment:
os: "Linux / macOS"
shell: "zsh + tmux"
caffeine_level: "High"| Domain | Systems & Protocols |
|---|---|
| Backend & Microservices | Node.js, Express.js, TypeScript, Go, PHP, REST APIs |
| Databases & Persistence | PostgreSQL, MySQL, Prisma, SQL Optimization |
| Applied AI & Frameworks | Python, PyTorch, LLMs, Multimodal RAG, AI Agents |
| Frontend Engineering | React, Next.js, JavaScript, TypeScript, Tailwind CSS |
| Cloud & Infrastructure | AWS, EC2, S3, RDS, Docker, CI/CD, GitHub Actions |
| Architecture & Security | Multi-Tenant SaaS, RBAC, API Security, Distributed Systems |
┌──────────────────────────────────────────────────────────────────────────────┐
│ SOFTLLIGENCE MANUFACTURING CLOUD │
├──────────────────────────────────────────────────────────────────────────────┤
│ TYPE: Multi-Tenant ERP / MIS SaaS Platform │
│ TECH: TypeScript • Node.js • Express • Prisma • PostgreSQL • AWS │
│ SCOPE: Tenant isolation, RBAC, commercial workflows │
└──────────────────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────────────────┐
│ SHORBORNO ERP SaaS │
├──────────────────────────────────────────────────────────────────────────────┤
│ TYPE: Enterprise Educational Infrastructure │
│ TECH: Laravel • PHP • MySQL • Next.js • Query Caching │
│ SCOPE: Educational management platform serving 100+ institutions │
└──────────────────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────────────────┐
│ MANGO ELECTRIC VEHICLE OS & CORE CRM │
├──────────────────────────────────────────────────────────────────────────────┤
│ TYPE: EV Manufacturer Fleet & Reservation Platform │
│ TECH: Next.js • Express.js • PostgreSQL • AWS │
│ SCOPE: Reservation workflows, inquiry management, role-based APIs │
└──────────────────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────────────────┐
│ FOCUSFLOW PRODUCTIVITY ENGINE │
├──────────────────────────────────────────────────────────────────────────────┤
│ TYPE: Zero-Cloud / Local-First Desktop Suite │
│ TECH: Python • PySide6 • Matplotlib • Encrypted Local Storage │
│ SCOPE: Offline task management, habit tracking, data analytics │
└──────────────────────────────────────────────────────────────────────────────┘
@inproceedings{taufiq2026multimodal,
title = {Cross-Modal Hallucination Reduction in Multimodal RAG Systems},
author = {Taufiq, Hossain Ahmmed and Bin Hannan, Dr. Nabil},
institute = {North South University},
note = {Preparing for Conference Submission},
summary = {Mitigating text, table, and image hallucinations using cross-modal grounding}
}@article{taufiq2026materials,
title = {Multi-Task Deep Learning for Band Gap & Formation Energy Prediction},
author = {Taufiq, Hossain Ahmmed},
institute = {North South University},
status = {Published},
summary = {Joint classification and regression pipeline evaluated against single-task baselines}
}@article{taufiq2026timeseries,
title = {Validating Stock Market Price Predicting Algorithms via Sentiment},
author = {Taufiq, Hossain Ahmmed},
institute = {North South University},
status = {Published},
summary = {Benchmarking ARIMA, LSTM, and Random Forest forecasting pipelines}
}[role]
title = "Founder & Lead Architect"
company = "Softlligence Technologies"
period = "Apr 2026 – Present"
[team]
size = 15
responsibilities = [
"Backend and product team leadership",
"Multi-tenant database architecture",
"Enterprise RBAC and tenant isolation",
"Cloud application architecture"
]
[stack]
technologies = [
"Node.js",
"Express",
"TypeScript",
"Prisma",
"PostgreSQL",
"AWS"
][role]
title = "Software Engineer"
period = "Jan 2026 – Present"
[domain]
focus = "Electric vehicle platform and internal CRM"
[engineering]
responsibilities = [
"Vehicle inquiry workflows",
"Payment gateway integrations",
"Secure APIs",
"Reservation management"
]
[stack]
technologies = [
"Next.js",
"Express.js",
"PostgreSQL",
"TypeScript",
"AWS"
][role]
title = "Software Engineer"
period = "Nov 2024 – Dec 2025"
[impact]
institutions = "100+ educational institutions onboarded"
[engineering]
responsibilities = [
"Database optimization",
"Concurrency tuning",
"RBAC security",
"REST API development"
]
[stack]
technologies = [
"Laravel",
"PHP",
"MySQL",
"Next.js",
"REST APIs"
][role]
title = "Full-Stack Developer"
period = "Apr 2023 – Sep 2024"
[impact]
initial_load_time_reduction = "20%"
[engineering]
responsibilities = [
"Code splitting and tree shaking",
"Distributed API integration layers",
"Enterprise client system integrations"
]
[stack]
technologies = [
"React.js",
"TypeScript",
"Redux",
"REST APIs"
]/etc/engineering_rules.conf
# Rule 01: Optimize for cognitive clarity before premature micro-optimization.
# Rule 02: Keep application nodes stateless; enforce tenant isolation
# and appropriate indexing at the database layer.
# Rule 03: Validate requests deterministically at API boundaries
# using TypeScript, schemas, and runtime validation.
# Rule 04: Never allow LLMs to execute raw, unvalidated outputs in production.
# Enforce structured output parsing, authorization, and tool-level guardrails.Ready to architect high-throughput backends or deploy verifiable RAG systems?
