𝗠𝗼𝘀𝘁 𝗔𝗜 𝗱𝗲𝗺𝗼𝘀 𝘄𝗼𝗿𝗸 𝗼𝗻𝗰𝗲. 𝗜 𝗯𝘂𝗶𝗹𝗱 𝘁𝗵𝗲 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝘁𝗵𝗮𝘁 𝘀𝘂𝗿𝘃𝗶𝘃𝗲𝘀 𝗿𝗲𝗮𝗹 𝘂𝘀𝗲𝗿𝘀.
9,000+ hours delivered on Upwork. 100% Job Success. Top Rated Plus. 6+ years shipping production software across healthcare, fintech, automation, edtech, real estate, and marketplaces running 24/7 with real users on them.
My Recent Projects:
📞 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭 𝐟𝐨𝐫 𝐎𝐮𝐭𝐛𝐨𝐮𝐧𝐝 𝐀𝐩𝐩𝐨𝐢𝐧𝐭𝐦𝐞𝐧𝐭 𝐁𝐨𝐨𝐤𝐢𝐧𝐠
AI phone assistant that autonomously calls businesses on a user's behalf and books appointments end to end. Includes real-time call orchestration, WebSocket-based live call monitoring, barge-in detection for natural interruption handling, intent-driven conversation flows across restaurant, dental, and service bookings, and subscription billing with secure webhook handling. Engineered for sub-second voice latency in production. Tech-Stack: Next.js, Node.js, Twilio Voice, ElevenLabs, WebSockets, Stripe, AWS EC2
☎️ 𝟐𝟒/𝟕 𝐀𝐈 𝐑𝐞𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐢𝐬𝐭 & 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐑𝐞𝐜𝐨𝐯𝐞𝐫𝐲 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦
Multi-channel AI receptionist answering inbound calls, SMS, and web chat around the clock for healthcare, legal, real estate, and automotive businesses. Includes appointment booking with two-way Google and Outlook calendar sync, conflict detection, automated reminder sequences to cut no-shows, bilingual English/Spanish handling, lead scoring, and a dashboard with full call recordings, transcripts, and analytics. Built on AES-256 encryption and SOC 2 infrastructure with TCPA-compliant call handling. Tech-Stack: Node.js, Retell AI, Twilio, OpenAI, calendar and CRM integrations, AWS
🤝 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐟𝐨𝐫 𝐓𝐚𝐥𝐞𝐧𝐭 𝐒𝐨𝐮𝐫𝐜𝐢𝐧𝐠 𝐚𝐧𝐝 𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐢𝐧𝐠
AI recruiting platform running a multi-agent pipeline over public and proprietary candidate data: automated qualification and scoring across millions of profiles, personalized outreach at scale to convert cold leads into interview-ready candidates, and real-time intent monitoring with handoff and escalation logic. Covered by Forbes, Fortune, TechCrunch, and WSJ; the Moonhub team has since joined Salesforce.
🧠 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦
Platform for building and deploying AI agents across a business's existing tool stack. Combines a unified data lake with 20+ integrations, intelligent tagging and AI summarization, a visual agent builder with a paired code editor and template library, and an insights layer delivering real-time dashboards, on-demand reports, and a Chrome extension. Supports self-hosted deployment for teams with data residency requirements.
Swaleheen J. earns an estimated $5.5k/mo. That's 3.9× the typical freelancer and more than 99.6% of everyone we track.
🎤 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐟𝐨𝐫 𝐖𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭
Career development platform delivering lifelike AI mock interviews at scale for grant-funded workforce programs, career readiness courses, and nonprofits. Every answer is transcribed, scored, and returned with a written breakdown covering pace, volume, filler words, and tone, alongside answer playback for self-review. Includes cohort assignment workflows, an admin dashboard with live usage and per-participant improvement tracking, passwordless access, and multi-channel delivery so participants can interview from desktop, mobile, or a standard landline.
𝗪𝗵𝗮𝘁 𝗜 𝗔𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗦𝗵𝗶𝗽
✅ Full-stack web apps from zero to production, multi-tenant SaaS, dashboards, admin tooling, billing
✅ Front-end engineering, React, Next.js, TypeScript, Tailwind, Angular, and responsive UI
✅ Backend and architecture, Node.js, NestJS, Express, Python, REST and GraphQL APIs, microservices, real-time systems
✅ AI and LLM features, RAG pipelines, vector search, structured extraction, summarization, agent workflows
✅ Real-time AI voice agents, inbound and outbound calling, interruption handling, latency tuning
𝗧𝗵𝗲 𝗛𝗮𝗿𝗱 𝗣𝗮𝗿𝘁 𝗜 𝗢𝘄𝗻
Anyone can wire up an API call. What breaks in production is everything around it retries, timeouts, rate limits, token cost, silent failures at 2am, and the edge case nobody specified. That's the work I take responsibility for. I test against the running app, not just the type checker, and I make the unspecified product decisions instead of waiting to be told.
𝗦𝘁𝗮𝗰𝗸
AI: OpenAI, Anthropic Claude API, LLaMA-based models, ElevenLabs, Twilio Voice, RAG pipelines, vector search, function calling, streaming, prompt and cost optimization
Frontend: React, Next.js, TypeScript, JavaScript, Tailwind, Angular, Redux
Backend: Node.js, NestJS, Express, Python, REST, GraphQL, microservices, WebSockets
Data: PostgreSQL, MongoDB, MySQL, Redis, Elasticsearch, BigQuery, Prisma, TypeORM
Cloud: AWS (ECS, EC2, Lambda, RDS, S3, CloudFront, Cognito), GCP, Docker, CI/CD
Also: Stripe billing and webhooks, RabbitMQ, background jobs, Jest, Cypress
Send me what you're building and I'll reply with a specific technical approach.