Akhil Chhetri
AI Product Engineer building scalable AI-first learning & automation platforms used by 200k+ users
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
Interests
- AI & Machine Learning
- Quantum Science
- Physics
- Cosmos
- Mathematics & Music
Projects Delivered
50+Years of Experience
6+Active Clients
25+Services
What I Do
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
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
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%
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
Works
Selected Projects
AI automation, EdTech copilots, blockchain credentialing, NFT infrastructure, and fintech experiences executed end-to-end.
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.
Testimonial
Voices From Clients
DigitalSix Leadership
SEO & Automation
Akhil orchestrated multi-agent workflows that turned multi-day audit cycles into a single automated sprint.
TeddyAI Executive Team
EdTech Innovation
He fused therapy-approved curricula with adaptive AI narratives, boosting retention by double digits.
Journal
Blog Notes
Long-form learnings on RAG, agentic workflows, SEO automation, and Next.js platforms.
