Sohag Gain
Sohag Gain
// ai automation engineer

I build systems
that never sleep.

AI agents and automation pipelines that qualify leads, answer customers, and move data — without manual follow-up.

Open to Remote / Hybrid · Full-Time & Part-Time · AI Automation roles
// automation.canvas live
100+
Automation projects
25+
Clients served
50+
Technologies
// core expertise

What I actually build

Four areas where automation moves the needle most.

AI Agents

AI Agents & Assistants

Explore this system

Agents help with email, calendar, support, and lead qualification using Claude, OpenAI, or Gemini, with memory and connected tools.

Workflow

Workflow Automation

Explore this system

n8n, Make, and Zapier connect CRMs, inboxes, and marketing tools so repetitive steps happen automatically.

CRM

GoHighLevel & CRM

Explore this system

CRM pipelines, snapshots, white-label builds, and AI assistants configured around the tools your team already uses.

RAG

RAG & Knowledge Base

Explore this system

Documents become a searchable knowledge base, allowing an AI assistant to answer from your own information.

// interactive demo

Watch an AI agent work

Simplified simulation of my Gmail & Calendar Assistant — one goal in, the agent plans and executes.

agent · sohag-gain live simulation
Interactive portfolio simulation — not live production data
// user request

"Find tomorrow's available meeting slots and email John."

○Understanding the request
○Finding John in contactscontacts.lookup
○Checking calendar availabilitycalendar.freeBusy
○Selecting the best open slotreasoning.select
○Drafting the email to Johngmail.draft
○Sending the emailgmail.send
○Automation complete
// workflow

How the system moves

An example lead-qualification flow. Choose a detail level, then select a step to explore it.

Trigger · Simple View

Someone sends a form, message, or call request. That starts the follow-up process.

// knowledge

Turn documents into answers

Simplified view of my RAG pipeline — documents in, grounded answers out.

Interactive portfolio simulation — not live production data
Documents
→
Chunking
→
Embeddings
→
Vector DB
→
Retrieval
→
AI Answer
// sample question

"What's your refund policy?"

○Searching the knowledge base
○Found 3 relevant chunks
○Generating a grounded answer
○Answer ready
// grounded answer with citations

"Refunds are available within 30 days of purchase, provided the item is unused and in its original packaging. Contact support with your order number to start a return."

docs/returns.md · §2.1 docs/faq.md · §4 kb/policies/return-policy
Powered by RAG — traced to source chunks
// architecture

How intelligent business systems connect

One pipeline shape — a request comes in, an AI agent reasons, automation executes, the result lands where your team can see it.

◉

Input

Something happens — a form fill, a message, a missed call.

A form submission, inbound message, missed call, or scheduled trigger fires a webhook, passing a structured payload into the pipeline.

✦

AI Agent

AI reads the request and figures out what to do next.

Claude, GPT-5, or Gemini processes the payload — using function calling and structured outputs to classify, qualify, or decide the next action.

⇄

Automation Layer

The right steps happen automatically, in the right order.

n8n, Make.com, or Zapier orchestrates branching logic, retries, and routing across connected nodes.

⚙

APIs & Integrations

The AI talks to the other apps your business already uses.

REST APIs and webhooks pass authenticated requests between the AI layer and connected tools.

◈

CRM

The record gets saved and moved to the right stage.

GoHighLevel or HubSpot's API updates the contact record, sets the pipeline stage, and triggers the next touchpoint.

▤

Database

Information is stored so it can be found again later.

PostgreSQL or a vector store (Pinecone) persists structured data or embeddings for retrieval.

✓

Business Outcome

The task gets done — no one had to do it by hand.

The pipeline resolves to a logged, auditable outcome — timestamped, with a status a human can check.

// the difference

Before automation, after automation

The same lead, handled two ways.

Beforemanual · hours
Lead fills out a form0 min
Sits in an inbox, unopened+2 h
Manually entered into CRM+4 h
Follow-up if remembered+1 d
Lead has gone cold
Afterautomated · seconds
Lead fills out a form0 s
AI qualifies instantly+3 s
CRM updated, stage set+5 s
SMS/email in 60 s+60 s
Appointment booked
// engineering maturity

AI alone isn't enough. Systems need guardrails.

Two things separate a real system from a demo — when to ask a human, and what to do when something breaks.

Human-in-the-loop

AI proposes. A human decides.

AI analyzes the situation
↓
AI proposes an action
↓
Flagged for human approval
↓
Human approves — then it executes

For anything with real stakes — money, a customer message, a record change — the system pauses for a human instead of guessing.

Failure handling

When something breaks, it doesn't fail silently.

API call fails
↓
Automatic retry (attempt 2)
↓
Automatic retry (attempt 3)
↓
Still failing — human gets an alert, with context

Good automation doesn't only handle the happy path. It knows what to do — and who to tell — when something goes wrong.

// stack

Technologies I use

Grouped by what they do in a real system. Hover for detail.

AI
Claude OpenAI Gemini
Automation
n8n Make Zapier
CRM
GoHighLevel HubSpot
Development
Python FastAPI PostgreSQL Docker APIs · Webhooks
AI Infrastructure
LangChain LangGraph Pinecone MCP · RAG
// skills

Hands-on skills, mapped to real projects.

Proven in production, working daily, or actively learning — filter to explore.

Currently learning — quieter row
CrewAIQdrantChromaDBLlamaIndexFlowiseLangflowGraphQLAzure BasicsGoogle Cloud BasicsWhatsApp AutomationAI Voice AgentsText-to-SpeechAI SaaS DevelopmentScaling
// verified credentials

Certified where it counts

◈Verified

GoHighLevel Specialist Certification

Automatable · May 2026

View certificate
◈Verified

AI Automation & AI Agents

Hablu Programmer · March 2026

View certificate

Web Design & Development

LEDP · 2020–2021

Foundation program — the API-integration base behind my automation work.

// personal brand

Behind the systems

Sohag Gain
Sohag Gain
// ai automation engineer · founder, ai smart galaxy

BSc in Computer Science & Engineering. I design the pipelines that qualify leads, answer customers, and close the loop — so teams stop copying and start shipping.

Dhaka · Remote (GMT+6) · sohag@sohaggain.com

About me View work
// featured work

Recent builds

Selected systems and AI agents, with workflows and source to explore.

n8n · GPT-5 · Gmail/Calendar API

AI Gmail & Calendar Assistant

Multi-agent assistant for email and calendar from text or voice, with contact lookup and memory.

n8nWhisperTelegram
View project
n8n · Pinecone · OpenAI/Gemini

AI RAG Chatbot & Knowledge Base

Documents into Pinecone as embeddings, then grounded answers with memory-enabled semantic search.

RAGVector DBGoogle Drive
View project
GoHighLevel · Claude API · n8n

AI Chatbot for Lead Qualification

Answers service questions, qualifies leads, detects booking intent — with human handoff for edge cases.

GoHighLevelClaude API
View project
// why hire me

What actually makes the difference

Not adjectives — here's what you're getting.

01

Business-first thinking

Start with the bottleneck, not the tool — so the system fixes what's slowing you down.

02

Real engineering foundation

BSc in CSE — APIs, data, and logic under the workflow, not just drag-and-drop.

03

AI where it helps

AI for judgment calls, deterministic automation for everything else.

04

End-to-end ownership

Discovery → design → build → test → handover. One owner, no handoff gaps.

// client work

Client work

Selected client projects and workflows shared with permission.

// testimonials

What clients say

// client-provided review

Brother Sohag, you did an amazing job! I am so happy with the final outcome. Your dedication and quality of work are truly outstanding.

— Shovon · Data Scraping & Offer Monitoring

See related project →
// client-provided review

Incredible work by Sohag bhai! Our Messenger automation is running flawlessly—instant replies, clear conversation routing, and zero bugs. The whole workflow feels natural and professional. I am extremely impressed with the quality and turnaround time. Highly recommended for any automation project!

— Showan Howlader · Messenger Automation

See related project →
// client-provided review

Pure precision and efficiency. Sohag bhai doesn't just build WhatsApp bots; he builds scalable business systems. The logic trees, API triggers, and fail-safes he implemented cut our team's manual workload by over 70% from day one. Flawless architecture, zero downtime, and a masterclass in modern automation. Worth every single penny.

— Mustaque Ahmed · WhatsApp Automation

See related project →
// client-provided review

I was blown away by the AI calling agent Sohag built for us. Most voice bots sound rigid and robotic, but this one carries conversations with natural pacing, handles subtle interruptions smoothly, and sounds remarkably human. It immediately took over our inbound qualification and calendar scheduling without missing a beat. Exceptional engineering and seamless execution.

— Asif Iqbal · AI Calling Agent Automation

See related project →
// client-provided review

Working with Sohag was a fantastic experience. He delivered top-notch work well ahead of the deadline, communicated clearly throughout, and paid great attention to every detail. Truly exceeded expectations!

— Carine · Reusable Google Maps Local Business Lead Generator

See related project →
// client-provided review

Incredible service and great attention to detail. Sohag understood the requirements right away and executed everything flawlessly. Fast, reliable, and highly professional. Will definitely work with him again.

— Ibrahim Hossain · Gulf Bangla News — AI WordPress to Facebook Automated Publisher

See related project →

Have an automation problem, or need an AI system built?

Remote, hybrid, freelance — let's figure out what actually needs automating.

sohag@sohaggain.com · Contact form

Hire Me Discuss a Project View My Work