MSP

System online

[ 00 ]AI Growth & Automation Specialist / Founder / LLM Consultant

I design, evaluate, and harden AI systems — agentic workflows, RAG pipelines, and browser automation — so teams can automate with evidence instead of guesswork.

Selected systemsResume
Portrait of Mohammed Sohel Patwari

Mohammed SohelID / MSP-01

  • 03Production-grade systems
  • 20+Adversarial security cases
  • <2 minDue-diligence brief delivery
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[ 01 ] Operator

Evidence over guesswork.

Most AI demos work once. I build the part that keeps working: regression tests that catch silent quality drops, agents with strict action boundaries, and audit trails a human can actually read.

  • 01

    Production AI systems

    RAG pipelines and LLM services built to be measured, versioned, and rolled back.

  • 02

    Agentic workflows

    LangGraph and MCP agents with explicit state, tools, and escalation paths.

  • 03

    Evaluation & forensics

    Golden-set regression testing and root-cause analysis for RAG failures.

  • 04

    Browser automation

    Playwright pipelines that turn messy public data into structured signal.

  • 05

    AI security

    Defense-in-depth for agent actions: boundaries, audit trails, human approval.

[ 02 ] Selected systems

Proof, in production.

01

RAGWatch

Regression testing & root-cause forensics

GOLDEN SET · V_PREV → V_NEXTREGRESSIONROOT CAUSERETRIEVAL MISSHALLUCINATIONCONTEXT DRIFT

A CI/CD-integrated evaluation system that catches silent RAG quality drops before they reach production.

  • RAG
  • LLMs
  • CI/CD
  • Pytest
  • Evaluation
02

MahaFund Brief

Agentic real-estate due diligence

UNSTRUCTURED SCANS → INVESTOR BRIEFSCAN01VISION02CROSS-REF03BRIEF04MAHARERAMARKET SOURCE AMARKET SOURCE B< 2 MIN

A multi-agent pipeline that turns public records and unstructured scans into investor-grade funding briefs.

  • LangGraph
  • Playwright
  • Computer vision
  • Apify
  • n8n
03

MCP Agent Gateway

Defense in depth for AI agents

AGENT CALL → 4 LAYERS → TOOLL1 MANIFEST SCANL2 RUG-PULL DIFFL3 KILL-CHAINL4 CANARYHITLCALLAUDIT ▪▪▪▪▪▪▪▪

A four-layer security gateway that puts strict action boundaries, an audit trail, and human-in-the-loop escalation around agent tool calls.

  • MCP
  • AI security
  • Audit logging
  • Human-in-the-loop
  • Testing
04

KaamSet

Finalist · Paytm AI Hackathon

Mohammed Sohel and a teammate in front of the Paytm AI Hackathon banner

A ready AI team for small businesses: teammates that handle billing, udhaar, pickup orders, customer enquiries, and reminders, and act only after the owner approves.

  • AI agents
  • Paytm Checkout
  • WhatsApp
  • Instagram
  • Human-in-the-loop
05

Hotclo

AI Instagram DM sales agent

INSTAGRAM DM → QUALIFIED LEADINTAKE01SCORE02CONVERSE03FOLLOW-UPHUMAN REVIEWBOOKINGICP SCORE ▪▪▪▪▪▪▫▫

Durable workflows that take an Instagram DM from first message to booked call: qualify the lead, score it, hold the conversation, and hand over to a person when intent shows.

  • TypeScript
  • NestJS
  • Inngest
  • Prisma
  • Vector memory
06

ATA Call Automation

n8n voice-agent pipeline · built, not yet live

n8n canvas of the ATA Outbound Caller workflow

Two n8n workflows around a voice AI agent: one phones leads from a Google Sheet and logs every attempt, the other turns each finished call into updated records and the right follow-up.

  • n8n
  • Voice AI
  • Google Sheets
  • WhatsApp
  • Gmail

[ 03 ] Clients

Shipped for real people.

Client work delivered through Arise to Ascend ↗, the agency I founded.

“Excellent. What a website.”
Dr. Krupa Sankhe · Cure ENT Vertigo Clinic

[ 04 ] Experience

A record of shipping.

  1. AI Growth & Automation Specialist

    Expertrons · Mumbai, India

    Current

    • AI growth and automation systems. Details available on request.

  2. Founder

    Arise to Ascend ↗ · Mumbai, India

    Mar 2025 — Jan 2026

    • Delivered high-performance websites and AI automation for healthcare and DeFi clients.
    • Built secure REST integrations connecting frontends, databases, third-party services, and dashboards.
    • Implemented GitHub Actions CI/CD to improve release consistency and velocity.

  3. Full-Stack LLM Consultant

    M0

    —

    • Full-stack LLM consulting. Details available on request.

  4. Automation Intern

    ArSo DigiTech · Mumbai, India

    —

    • Built websites with n8n automation for marketing and healthcare clients.
    • Automated repetitive operations through n8n, Zapier, and REST integrations.
    • Translated client requirements into production-ready websites and workflow solutions.

[ 05 ] Capabilities

The working stack.

01AI systems

  • RAG pipelines
  • LLMs
  • Agentic AI
  • LangChain
  • LangGraph
  • MCP
  • OpenAI API
  • Prompt engineering
  • ChromaDB

02Automation

  • n8n
  • Zapier
  • Make.com
  • Emergent
  • CI/CD pipelines
  • No-code / low-code

03Backend & data

  • Python
  • Node.js
  • FastAPI
  • REST APIs
  • WebSockets
  • PostgreSQL
  • MongoDB
  • Redis

04Web intelligence

  • Playwright
  • Apify
  • Browser automation
  • Data extraction

Education

B.Sc. Information Technology · University of Mumbai / Shri Bhausaheb Vartak Degree College · 2023 — 2026

Recognition

  • CSI Chairperson, Shri Bhausaheb Vartak Degree College
  • Runner-Up, HackVision Hackathon
  • Finalist, Paytm AI Hackathon — organized by HackDriven at the Paytm office, Andheri, Mumbai

[ 06 ] Notes

What the work taught me.

01

Why RAG quality drops without anyone noticing

A retrieval system rarely breaks loudly. It gets a little worse, one harmless-looking change at a time.

3 min read02

An agent should not be trusted with its own tools

Giving an agent a tool is giving it the ability to act. The safety has to sit outside the model.

3 min read03

Approval is a feature, not a brake

The fastest way to get a small business to trust an AI assistant is to make it ask first.

2 min read

[ 07 ] ContactAvailable for high-impact roles & consulting

Bring the hard problem.

contactmohammedsohel@gmail.comStart a
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