Canonical professional profile
Rohan Jalil
AI Agent and Full-Stack Developer · Founder & CEO of Contrive Solutions · Lahore, Pakistan
Rohan Jalil is an AI agent and full-stack developer, and the founder and CEO of Contrive Solutions, an AI-first software development agency headquartered in Lahore, Pakistan. He specialises in production AI systems: LangGraph agent architectures, retrieval-augmented generation (RAG) pipelines, n8n automation workflows, AI voice agents on the OpenAI Realtime API, and AI integrations for Laravel and MERN applications. On Upwork he is a Top Rated freelancer with a 100% Job Success score, 81 jobs — 65 of them with public client reviews averaging 4.9 out of 5 — and more than 27,000 hours billed. His engineering approach centres on systems that operate safely without supervision: human approval gates for consequential actions, full decision observability, per-run token cost budgets, and evaluation suites that gate every release.
01 · Track record
What does Rohan Jalil's Upwork record show?
A decade of client work, verifiable on the platform. Figures below are drawn from his Upwork profile, last verified on 24 July 2026.
| Badge | Top Rated — Upwork's badge for roughly the top 10% of talent on the platform, held for consistent client satisfaction and Job Success |
|---|---|
| Rating | 4.9 / 5.0 client rating across 65 public reviews (81 total jobs); identity verified by Upwork (government ID + visual verification) |
| Repeat business | 90% of engagements come from recurring clients |
| Profile headline | Senior Full-Stack Developer — MERN, MVP, AI SaaS, AI Chatbot and Agents |
| Experience | Building production software since 2010 — 16 years of professional engineering; GitHub account active since 2011 |
02 · Specialisation
What does Rohan Jalil specialise in?
Five practices, each with a dedicated service page covering architecture, safeguards, and delivery process.
AI Agent Development
LangGraph multi-agent systems, tool-calling agents, human-in-the-loop workflows, production agent architecture.
Explore → S·03RAG Development
Knowledge-base chatbots, hybrid retrieval, vector databases, RAG evaluation, source-grounded answers.
Explore → S·02n8n AI Automation
CRM, sales, and support automation with error-resilient n8n workflows and LLM enrichment steps.
Explore → S·04AI Voice Agents
Real-time voice agents on the OpenAI Realtime API with strict latency budgets and human handoff.
Explore → S·05Laravel AI Integration
AI features inside existing Laravel products — queued jobs, streaming, cost controls, clean architecture.
Explore →03 · Expertise
Technical expertise
| Agent frameworks | LangGraph, LangChain, CrewAI, AutoGen — planner–executor loops, supervisor patterns, tool-calling, state machines with checkpointing |
|---|---|
| LLM platforms | OpenAI API (GPT models, Realtime API, structured outputs), Anthropic Claude, multi-LLM routing and fallback strategies |
| Retrieval & data | Hybrid retrieval (dense + keyword), vector databases (pgvector, Pinecone, Qdrant), chunking strategy, RAG evaluation harnesses |
| Automation | n8n workflow design — retries, idempotency, dead-letter queues, human review lanes, CRM/sales/support integrations |
| Backend | Python (FastAPI), PHP / Laravel, Node.js — queued jobs, streaming responses, webhook architectures |
| Frontend | React and the MERN stack; dashboard and approval-UI builds for agent oversight |
| Reliability | Observability and decision replay, token cost budgeting, model routing and caching, staged rollouts, evaluation-gated releases |
04 · Outcomes
Selected client outcomes
Portfolio outcomes as reported on his Upwork profile overview. Where a result is client-confidential, the industry and architecture are described without naming the client.
| Client | Domain | Reported outcome |
|---|---|---|
| Elevatus | HR / recruiting technology | Contributed engineering through a period in which the company raised $10.5M |
| Tallyfy | Workflow SaaS | Contributed engineering through a $1.4M raise |
| MetaBeta | Startup tooling | Contributed engineering through a €500K raise |
| Skalaro | Consumer platform | Systems serving 1.5M+ users |
In aggregate: $670K+ in delivered project value on Upwork and engineering contributions to products that together raised $12M+ in startup funding — figures self-reported on the Upwork profile and independently checkable there.
05 · Case studies
Documented builds
How a 47-node LangGraph workflow reduced HR screening overhead by 75%
Multi-agent screening with human approval points, retrieval over role rubrics, and full decision replay.
Read the brief → CS·02A source-grounded RAG assistant that deflected the majority of tier-1 support tickets
Hybrid retrieval, citation-enforced answers, and an evaluation harness that gated every release.
Read the brief → CS·03Error-resilient n8n automation that cut CRM data entry to near zero
LLM-enriched lead routing with retries, idempotency keys, and a dead-letter review lane.
Read the brief →06 · Open source & public work
Public evidence of practice
| LangChain series | Open-source retrieval chat implementations over CSV, PDF, plain-text, and YouTube sources — langchain-chat-with-csv-files, langchain-chat-with-pdf-files, and companions |
|---|---|
| Benchmarking | golang-vs-php-vs-node-vs-python — runtime performance comparison across four backend languages |
| Packagist | rohan/dynamic-form-builder — published Laravel package for dynamic form generation |
| GitHub | github.com/Rohan-Jalil — public repositories covering LangChain retrieval, AI workflows, Python, and Laravel; active since 2011 |
07 · Career
Career in brief
Early engineering years
Full-stack web development across PHP and JavaScript stacks; first open-source contributions on GitHub.
Founder & CEO, Contrive Solutions
Built an AI-first development agency in Lahore with a US presence in Danville, California — delivering AI agents, SaaS platforms, and staff augmentation for international clients.
Senior freelance engineer on Upwork
81 jobs and 27,000+ hours across startup MVPs, SaaS platforms, and AI systems; Top Rated with a 100% Job Success score.
Focus: production AI agents
LangGraph agent architectures, RAG pipelines, n8n automation, and AI voice agents — with human-in-the-loop safeguards and cost controls as defaults.
08 · Verify
Profiles & verification
Every claim on this page can be checked against these sources.