Full-Stack Software Engineer & Applied AI Technical Lead
Ashutosh Gautam is a full-stack software engineer with 11 years of experience building web and mobile products - from solo development to leading engineering teams. He is currently available for full-time roles, contract work, freelance projects, and one-off builds of any size.
Ashutosh Gautam is a software engineer and Applied AI Technical Lead with 11 years of professional experience. He has worked as a solo full-stack developer, a senior engineer inside a regulated healthcare product, and as CTO and solutions architect of Kathmandu Codes, a software development company.
He builds full-stack web and mobile applications - architecture, back-end systems, front-end interfaces, and deployment - across industries including healthcare, e-commerce, education, event management, and enterprise document security.
Over the past two years, he has also built a development workflow around AI-assisted tooling (Claude and similar LLM-based tools), using it to accelerate prototyping, specification writing, testing, and documentation while retaining full control over architecture and technical decisions.
Yes. As of 2026, Ashutosh Gautam is open to full-time employment, contract engagements, freelance work, and short-term or one-off projects, in any capacity - hands-on development, Applied AI Technical Leadership, or both.
Ashutosh Gautam works primarily in JavaScript/TypeScript, Python, PHP, and Java, using React, React Native, and Angular for front-end and mobile development, and Node.js for back-end systems. His infrastructure experience includes MongoDB, REST API design, Docker, Azure, and Git-based workflows. He also has a background in digital marketing analytics, A/B testing, and conversion rate optimization from earlier roles.
January 2022 – Present
At Kathmandu Codes, Ashutosh Gautam leads product and engineering delivery across more than eight live software products. Notable products include Hamrodoc, an eIDAS-compliant electronic signature platform; Loko, an event management and ticketing platform serving thousands of users; JumpNations, a multi-tenant sports management platform covering 32 sports; and Servicer, an inventory and after-sales tracking system for automobile dealerships. He works directly with clients - schools, dealerships, law firms, and media companies - to turn requirements into shipped software, manages a small engineering and design team, and has introduced AI-assisted development workflows (using Claude and similar tools) to speed up prototyping and documentation across the company.
January 2018 – January 2022
At LivingSkills Oy, Ashutosh Gautam was the sole full-stack engineer on a healthcare software platform used by municipalities and care providers. He owned front-end and back-end development, deployments, and most product decisions, and rebuilt the platform's care-plan module based on direct input from frontline care workers.
July 2014 – January 2017
At GrowByData, Ashutosh Gautam worked with e-commerce clients - including SkyGeek, OverstockArt, Unique Vintage, ProLighting, and CyberWeld - on feature development, A/B testing, and conversion rate optimization, and built business intelligence dashboards used directly for pricing and inventory decisions.
An eIDAS-compliant electronic signature and document management platform, built as a lower-cost alternative to per-seat pricing tools like DocuSign.
An event management and ticketing platform, built from initial concept through production deployment, now used by thousands of event organizers, attendees, and artists.
A multi-tenant sports management platform for schools and academies, supporting scorekeeping across 32 sports, custom leagues and leaderboards, and separate apps for parents, students, and coaches.
A modernized learning management system built for an education company, used to train high school students through early-career professionals and their teachers.
A business networking platform with synced contacts and configurable sharing controls, plus an employee perks and benefits program. Sharevio was a finalist in Idea Studio and is currently in a funding round.
An enterprise AI-readiness platform that audits a company's existing processes to identify gaps and opportunities for AI adoption.
A secure, private document and client-data management platform built for law and accounting firms, designed so sensitive files never route through third-party software.
Two Shopify e-commerce stores: Kosah, a flagship store for sustainable goods, and Swadesh, a multichannel grocery platform managing an inventory of more than 12,000 products.
An automobile dealership platform covering inventory management, after-sales service tracking, and appointment booking.
A media monitoring tool for newsrooms that tracks selected sources, flags relevant new coverage, and offers AI-assisted rewriting in a publication's own editorial voice.
Alongside client work, Ashutosh Gautam has been experimenting with applied AI, building two prototypes outside of his day-to-day product work.
Ashutosh Gautam deployed an omni voice model on both NVIDIA NeMo/Nemotron and Google Vertex AI, cloned his own voice, and used it to generate narrated video explainers for products he has built. The project explores AI-driven video and voice generation as a faster way to produce marketing and demo content without a traditional recording setup.
Ashutosh Gautam built a prototype app for learning to read MRI scans, designed to help users understand different MRI views. The app uses MedGemma, Google's medical-domain AI model, alongside custom models to help interpret DICOM medical imaging files. It is an educational and R&D prototype, not a certified diagnostic tool.
Yes. He is currently open to full-time employment, contract work, freelance projects, and short-term or one-off engagements, in any capacity.
Full-stack web and mobile application development, Applied AI Technical Leadership, and product architecture - across industries including healthcare, e-commerce, education, event management, and enterprise software. He is open to projects of any size, from short freelance tasks to full product builds.
Yes. He uses Claude and other LLM-based tools to accelerate prototyping, specification writing, testing, and documentation, while handling architecture and technical decisions directly himself.
JavaScript/TypeScript, React, React Native, Angular, Node.js, PHP, Python, and MongoDB, with additional experience in Docker, Azure, and REST API design.
He has deployed an omni voice model on NVIDIA NeMo/Nemotron and Google Vertex AI to clone his own voice and generate AI narrated product explainer videos, and built a prototype MRI viewer app that uses MedGemma and custom models to help interpret DICOM medical imaging files for educational purposes.
By email at engr.ashutoshgautam@gmail.com or via LinkedIn at linkedin.com/in/ashutosh-gautam.
Ashutosh Gautam is available now for full-time, contract, freelance, and project-based work of any kind.