AI-First Full Stack Engineer
AMAN
Kanojiya
Building production-ready products with Next.js, Node.js, and LLMs.
I help startups and product teams turn ideas into scalable software — combining modern full-stack engineering with AI integrations that deliver measurable business results.
Aman Kanojiya
Software Development Engineer (Full Stack)
Over the past 4+ years, I've helped startups and businesses transform ideas into production-ready applications. I specialize in building AI-powered products using Next.js, Node.js, TypeScript, and modern cloud infrastructure. From architecting scalable systems to integrating LLM workflows, I enjoy solving complex problems that create meaningful user impact.
Building with AI
Production LLM work — not just API calls. Real workflows shipped to users in enterprise and consumer products.
Conversational AI workflows
Designed multi-turn coaching flows with Claude and OpenAI — context-aware prompts, session memory, and production guardrails for enterprise Teams apps.
LLM integration in production
Integrated Claude and OpenAI APIs into customer-facing products with token tracking, caching, retry logic, and cost-aware prompt design.
Speech & multimodal pipelines
Built speech-to-text and voice-first UX for wellbeing coaching — Google Cloud Speech API with sentiment-aware downstream LLM flows.
AI-assisted recommendations
Shipped structured JSON recommendation engines from user behavior data — watch history, attendance, and rubric-driven session QA.
Prompt orchestration & evaluation
Domain-specific prompt engineering for edtech and workplace wellbeing, Assistants API pipelines, and audit-friendly LLM output validation.
Safety & trust layers
Rule-based URL screening plus optional OpenAI classification for user-generated links — SSRF-safe validation in production SaaS.
Work experience
4+ years delivering production impact — AI products, e-commerce, and enterprise SaaS
Software Development Engineer (Full Stack)
6DegreesIT Pvt. Ltd.
- ›Shipped Claude-powered coaching in production for Teams — context-aware prompts, Redis session management, and token caching that reduced API cost and latency.
- ›Architected 12+ Node.js microservices on Azure Kubernetes with Service Bus and KEDA — enabling proactive wellbeing notifications at scale across time zones.
- ›Led monolith-to-microservices migration and automation workflows, improving release velocity and platform reliability for enterprise customers.
Backend Developer (Node.js)
Otomator Technologies
Skills & expertise
Focused expertise across full-stack product engineering, production AI, and cloud-native delivery
Core Expertise
Next.js
React
TypeScript
Node.js
NestJS
AI & LLM
OpenAI API
Anthropic Claude- Assistants API
- Prompt Engineering
- RAG
- Conversational AI
Cloud & DevOps
AWS
Azure
Docker
Kubernetes
Redis
CI/CD
Databases
PostgreSQL
Prisma
MongoDB- Redis
DynamoDB
6DegreesIT projects
Production products with measurable user and business impact — Sep 2021 to present
6DegreesIT
AI workplace wellbeing · Microsoft Teams
Joye
Problem
Organizations lacked proactive employee wellbeing insights inside Microsoft Teams — check-ins were manual and engagement dropped without timely, personalized support.
Solution
Built an AI-powered wellbeing platform embedded in Teams with Claude-driven coaching, voice-first flows, and proactive notifications across 12+ microservices on Azure.
Impact
Enabled scalable employee engagement workflows across time zones, reduced friction in wellbeing check-ins through conversational AI, and cut LLM latency costs via Redis session caching and prompt optimization.
Tech stack
6DegreesIT
Multi-vendor e-commerce platform
Sheque
Problem
Multi-vendor brands needed a unified commerce stack — separate storefront, admin, and vendor tools with compliant checkout, tax, and fulfillment across sellers.
Solution
Delivered a three-app workspace on Next.js 15 and NestJS with server-authoritative Stripe checkout, TaxCloud tax compliance, RBAC, CMS, and AWS deployment.
Impact
Accelerated vendor onboarding with reusable architecture, eliminated client-trusted payment totals, and enabled faster catalog and order operations through shared admin tooling.
Tech stack
6DegreesIT
AI practice & session quality analysis
Artfills
Problem
Edtech mentors lacked scalable ways to personalize practice and objectively QA live sessions against course-specific rubrics.
Solution
Built OpenAI-powered recommendation and Assistants API QA pipelines with GraphQL APIs, PostgreSQL + DynamoDB data flows, and admin analytics dashboards.
Impact
Automated personalized practice playlists from learner behavior and standardized mentor session reviews — improving consistency and reducing manual QA overhead for operations teams.
Tech stack
6DegreesIT
Firuta · AI sales coaching app
Sales Coach
Problem
Sales teams needed realistic practice simulations with immediate feedback — existing tools couldn't handle concurrent conversational scoring at low latency.
Solution
Architected backend for real-time AI sales simulations with concurrent user sessions, scoring pipelines, and redesigned KPI APIs aligned to product analytics.
Impact
Enabled measurable sales performance tracking and faster iteration on coaching quality through data-driven KPI definitions and real-time feedback loops.
Tech stack
Personal projects
Independent products shipped to production — full ownership end to end
Personal project
URL shortener · branded links & click analytics
Fleek
Problem
Teams sharing long URLs needed branded short links, click visibility, and safety checks — without sacrificing redirect speed or building separate tooling.
Solution
Shipped a production URL shortener with NestJS + Next.js monorepo, Redis-cached redirects, auth dashboard, analytics, API keys, webhooks, and optional AI URL screening.
Impact
Live at app.fleek.festinme.com with sub-100ms cached redirects, full click analytics with QR codes, and split deployment (Vercel + GCP) — demonstrating end-to-end product ownership.
Tech stack
What teams say
Feedback from people I've worked with on production products
“Aman consistently delivered high-quality solutions and took ownership from architecture through deployment. He moves fast without sacrificing reliability.”
“Strong full-stack engineer who translates product requirements into shippable AI features. Clear communicator across engineering and business stakeholders.”
“Dependable engineer with deep hands-on experience in LLM integration, microservices, and cloud deployment — exactly what we needed to scale.”
Education & recognition
Education
Master of Computer Applications
Jabalpur Engineering College
Jabalpur, India
May 2021 · GPA 8.0
Certifications
OWASP Top 10 — Web Application Security
Cybrary · May 2023
Server-side Development
Coursera · Jun 2020
Awards
Employee (Over The Top)
6DegreesIT · Sep 2022
Outstanding contributions and performance
1st Runner-Up — Smart India Hackathon (SIH) 2019
Ministry of HRD, Govt. of India · 2019
National-level hackathon recognition
Get in touch
Looking for an engineer who can take ownership, move fast, and ship production-ready AI products? Let's talk.