Chinton Dutta
AI Full-Stack & DevOps Engineer
About
I'm an AI Full-Stack and DevOps engineer focused on building production-ready AI systems and cloud-native backend platforms. I work across Python, TypeScript, and Next.js, designing multi-tenant SaaS architectures, RAG and LLM pipelines, and Kubernetes-based infrastructure with ArgoCD and Helm.
As GTM Engineer at ClickLyft, I build the technical systems behind client acquisition and monetization for insurtech and lead-gen clients. I'm currently building the technical backbone for insuretech growth, combining engineering with acquisition systems most growth teams handle manually.
Experience
Sep 2026 – Present
Kolkata, India
Build and maintain the technical systems behind client acquisition and monetization for insurtech and lead-gen clients, including data pipelines, backend infrastructure, and performance marketing tooling. Work directly with the founder to scope, architect, and ship technical solutions across client engagements.
Nov 2025 – Present
Kolkata, India
Advise on backend architecture and infrastructure decisions for FREMN's multi-tenant AI SaaS platform, including the WhatsApp-native booking system and voice agent pipeline. Guide Kubernetes deployment strategy and model fine-tuning direction as the platform scales with pilot clinics.
Built and deployed a multi-tenant AI SaaS for dental practice management, including WhatsApp-native booking and automated missed-call recovery. Architected Kubernetes infrastructure with ArgoCD and Helm for zero-downtime releases, and fine-tuned Chatterbox TTS and Whisper STT using LoRA to improve voice agent accuracy for Indian accents and dental terminology.
Aug 2026 – Present
Kolkata, India
Selected for the inaugural cohort of the AIC Techno Incubation Program, West Bengal's first Atal Incubation Centre. Gained access to co-working infrastructure, tailored mentorship from industry leaders, investor connects, and fundraising support for FREMN.
Aug 2025 – Nov 2025
Kolkata, India
Owned backend API development for client-facing products, designing relational schema and RESTful endpoints to support new features end-to-end. Architected multi-tenant backend infrastructure for a hospitality management system using tenant-ID-based data isolation, and maintained Docker-based CI/CD pipelines while leading code reviews to keep production environments stable.
Projects
Engineered a multi-tenant TTS SaaS where users clone voices from audio uploads, storing files in Cloudflare R2 and mounting them directly into Modal A10G containers to keep the app server fully stateless. Deployed Chatterbox TTS as a FastAPI ASGI app on Modal GPU, supporting 10 concurrent requests with persistent model loading that cut cold-start latency by roughly 80%.
Built a multi-tenant AI support platform with a per-organization RAG knowledge base and automatic AI-to-human escalation, cutting first-response time to under 3 seconds across all incoming chats. Designed a real-time operator dashboard on Convex's reactive backend, synchronizing live conversation updates across the widget and dashboard without building a custom WebSocket layer.
Architected a multi-agent GPT-4.1 pipeline that decomposes natural language prompts into fully deployed, multi-file Next.js applications, using Inngest to durably orchestrate generation steps without losing state on failure. Integrated E2B cloud sandboxes to isolate and hot-reload generated code in real time, streaming a fully working live preview URL into the chat UI in under 90 seconds.
Skills
Languages
AI / ML
Frontend
Backend
Databases
DevOps
Education
Sep 2023 – Aug 2027
Kolkata, India
Techno India University
BCA(H) — Bachelor's in Computer Application (Honours)
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