Most software demos well but breaks when real users and messy data hit it. I'm an AI engineer with a decade of experience building software and systems that hold up in production: SaaS applications, voice agents, RAG pipelines, and LLM scoring engines that go live and stay live.
🥇 10+ years experience, 30+ MVPs Delivered.
🥇 3+ years Integrating AI: Agents, AI Workflows, Chat and Voice Bots.
🥇 Experience with enterprise clients on Upwork: Microsoft and GitHub.
Proven Track Record (Real Production Metrics):
🔹 Moonhub AI (acquired by Salesforce): built the candidate-vetting agent pipeline (tool-calling + LLM scoring over structured profiles) and reduced manual screening time on the flows I owned.
🔹 Talk Hiring ($1M+ ARR, 10k MAU): Shipped two separate production voice systems, developed LLM evaluation and rubric scoring a five-dimension engine that grades interviews.
🔹 Crewfare ($15M+ ARR, 200k+ travellers): Developed money layer (Stripe billing, usage-based credits, metered billing, plan entitlements) for this high-scale event travel platform.
🔹 Asecure.cloud (2,400+ annual security audits): Built well-architected engine and assessment flows for a cloud advisory platform servicing AWS and Azure.
Expertise:
✅ Core Stack: OpenAI, Claude, LiveKit, AssemblyAI, Temporal, Stripe, AWS.
✅ Durable agent workflows on Temporal: cost-aware retries, human-in-the-loop steps, browser automation
✅ RAG and retrieval: ingestion, chunking, embeddings, and grounded answers with citation auditing.
✅ Architecture: Scalable SaaS systems, clean domain-driven design
✅ Full Stack: TypeScript, Next.js, Node, Python, FastAPI, PostgreSQL, pgvector, GCP
✅ Integrations: MCP, n8n, LangGraph, LlamaIndex, Composio, Vapi, Retell, ElevenLabs, Deepgram, Twilio, Pinecone
Clients usually bring me in when they need to:
• Design and ship LLM-powered features inside an existing SaaS
• Stabilize and scale AI systems already in production
• Own backend + frontend delivery without hand-holding
• Act as a long-term engineering partner, not a short-term contractor
With excellent communication for both video and audio calls, I’m ready to help turn your idea into a growth-driving product. Feel free to send me a message or invite me to a free consultation, I usually respond within a few hours.
Aalishan J. earns an estimated $8.1k/mo. That's 5.5× the typical freelancer and more than 99.8% of everyone we track.