Akhil Chhetri

Biography

AI Product Engineer focused on building production-ready AI systems for education and automation at scale. I specialize in taking AI from prototype to production — designing, shipping, and scaling AI products that real users rely on. I bridge engineering, product thinking, and business outcomes.

Why work with me?

I specialize in taking AI from prototype to production — designing, shipping, and scaling AI products that real users rely on. I bridge engineering, product thinking, and business outcomes.

Expertise

AI Systems: LLMs, RAG, Multi-agent workflows

Product Engineering: Full-stack web apps, Scalable APIs

Infrastructure: AWS, CI/CD, Cloud-native deployment

Interests

AI & Machine Learning
Quantum Science
Physics
Cosmos
Mathematics & Music

Connect

Projects Delivered

50+

Years of Experience

Active Clients

25+

Services

What I Do

01/

AI & Automation

Problem: Manual processes and lack of personalization in education and business operations

Solution: Built RAG systems, AI agents, and CrewAI/LangChain orchestration for automated, personalized workflows

Result: Scaled AI learning platform to 200k+ users across UK, Africa, and South Asia; automated multi-day SEO audits into single sprints

02/

Product Engineering

Problem: Need for scalable, production-ready platforms that handle real user traffic

Solution: Architected and delivered product-grade React/Next.js and Node.js platforms with Python microservices

Result: Built platforms serving 200k+ concurrent users with high availability and performance

03/

Infrastructure & Deployment

Problem: Inconsistent deployments and lack of observability in production systems

Solution: Implemented Docker-first delivery on AWS with CI/CD pipelines and comprehensive observability

Result: Achieved zero-downtime weekly releases and reduced deployment time by 70%

04/

Product Strategy & Leadership

Problem: AI capabilities not aligned with business outcomes and revenue goals

Solution: Led product strategy, roadmaps, and GTM orchestration aligning AI capabilities with measurable business outcomes

Result: Drove product decisions that increased user engagement by double digits and improved operational efficiency

Resume

CareerTimeline

Lead AI Automation Engineer — DigitalSix

Jun 2024 - Sep 2024

Problem: Multi-day SEO audit cycles slowing client delivery. Solution: Built CrewAI-powered SEO automation stack with multi-agent workflows for audits, briefs, and reporting. Result: Transformed multi-day audit cycles into single automated sprints, significantly improving operational efficiency and client delivery speed.

Senior Product Lead Engineer (AI) — TeddyAI Ltd

Jun 2024 - Current

Problem: Need for neuro-inclusive learning experiences with adaptive AI capabilities. Solution: Led development of React-powered classroom with adaptive storytelling, RAG-backed personalized lessons, and therapist analytics. Result: Boosted retention by double digits through therapy-approved curricula fused with adaptive AI narratives.

AI Product Engineer / Full Stack — Otermans Institute

Mar 2021 - May 2024

Led development of OIAI Tutor, the world's first AI digital human teacher adopted by 200k+ learners across UK, Africa, and South Asia. Problem: Education scalability and personalization at scale. Solution: Built AI teacher core engine with specialized LLM fine-tuning (OIMISA-7B), LangChain orchestration, and agentic AI systems. Result: Improved learning engagement, enabled hyper-personalized instruction, and democratized access to quality education through AI technology.

DevOps Engineer — 20 Trusted

Jan 2023 - Aug 2023

Problem: Inconsistent deployments and downtime risks. Solution: Implemented AWS Infrastructure as Code (IaC) pipelines with automated testing and deployment workflows. Result: Achieved weekly zero-downtime releases, reducing deployment time and improving system reliability.

Software Engineer — Lowkey LLC

Jan 2022 - Aug 2023

Problem: Need for scalable NFT marketplace backend processing thousands of collections with real-time metadata and rarity computation. Solution: Architected high-performance Node.js + MongoDB system with async processing, rarity algorithms, and WebSocket real-time updates. Result: Built scalable infrastructure handling peak marketplace traffic with real-time rankings and metadata normalization.

Software Engineer — Mukundo Nepal

Feb 2021 - Feb 2022

Problem: Need for scalable ecommerce platform supporting multi-category shopping in Nepal. Solution: Engineered full-stack ecommerce platform with optimized performance and user experience. Result: Delivered production-ready platform supporting multi-category shopping experience.