Some clients come to me with an AI idea and no product. Others come with a demo that broke the first time real users touched it. I build the first and rescue the second.
I'm an AI full-stack developer with 10+ years of experience and 30+ MVPs turned into SaaS shipped, including enterprise work for Microsoft and GitHub.
For the last 5+ years I've built AI products end to end: voice agents that take live calls, RAG systems that answer from your own documents, and agent workflows that keep running when something breaks.
𝐖𝐡𝐚𝐭 𝐈'𝐯𝐞 𝐛𝐮𝐢𝐥𝐭 𝐚𝐧𝐝 𝐫𝐮𝐧 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧
• Moonhub (acquired by Salesforce): the candidate-vetting agent pipeline, tool-calling plus LLM scoring.
• Talk Hiring ($1M+ ARR, 10k MAU): live voice interviews that candidates can interrupt like a real person, a five-dimension scoring engine that explains every score, and the credit and Stripe billing it earns from.
• Pinnacle Global Network (mentorship company, 50% retention): I rebuilt their member operation in HubSpot. A data model that keeps who asked to quit separate from who actually left, health scoring and renewals that run on their own, and AI that reads call transcripts and sends churn alerts to the person who can act on them
• Revenue Receptionist: an AI receptionist that answers calls, qualifies callers, books onto the owner's real Google or Microsoft calendar, texts confirmations and chases missed leads. I was the founding engineer.
• MindRep: a RAG pipeline that turns a client's books and PDFs into AI-drafted courses with citations checked, so a non-technical team can publish without a developer.
• Ghost Automation: AI-generated video posted across many social accounts, run as Temporal workflows with retries that don't waste money.
𝐖𝐡𝐚𝐭 𝐈 𝐛𝐮𝐢𝐥𝐝 𝐚𝐬 𝐚 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫
• Voice agents and AI phone or chat assistants
• RAG and document AI that answers from your own data
• Agent workflows and automation that survive failures
• Full-stack SaaS with auth, billing and dashboards
𝑻𝒆𝒄𝒉 𝑰 𝒘𝒐𝒓𝒌 𝒘𝒊𝒕𝒉:
• AI and agents: OpenAI (GPT-4o, Realtime API), Claude, LangGraph, LlamaIndex, MCP, Temporal, n8n, Composio
• Voice: LiveKit, AssemblyAI, Deepgram, ElevenLabs, Vapi, Retell, Twilio
• RAG and search: embeddings, chunking, pgvector, Pinecone, citation checks
• Full stack: TypeScript, Next.js, React, Node.js, Express, Python, FastAPI
• Data and cloud: PostgreSQL, DynamoDB, AWS (Lambda, ECS), GCP, Docker
• Payments: Stripe, PayPal, Apple Pay
• Browser automation: Playwright
Aalishan J. earns an estimated $8.1k/mo. That's 7.1× the typical freelancer and more than 99.81% of everyone we track.
𝑮𝒐𝒐𝒅 𝒇𝒊𝒕 𝒊𝒇:
• You have a working product and want AI added properly
• Your AI works in testing but struggles with real users
• You want one person to own the backend, frontend and AI without hand-holding
𝗪𝗵𝗮𝘁 𝗨𝗽𝘄𝗼𝗿𝗸 𝘀𝗮𝘆𝘀 𝗮𝗯𝗼𝘂𝘁 𝗺𝗲: A top-performing senior full-stack developer with expertise in SaaS and AI systems. Significant contributions include architecting LLM-powered systems for projects like Talk Hiring, achieving $1M+ ARR, and collaborating on CrewFare, generating over $15M in revenue. Proficient in React, Next.js, Node.js, TypeScript, PostgreSQL, and AWS services.
Core skills implemented include API development, cloud architecture, and scalable system design, driving robust applications that enhance user experience and meet enterprise demands.
𝐈𝐝𝐞𝐚 𝐨𝐧 𝐩𝐚𝐩𝐞𝐫, 𝐨𝐫 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐢𝐧 𝐩𝐫𝐨𝐠𝐫𝐞𝐬𝐬? Message me and let’s get on a quick call to turn it into something real users can use.