
Shubham Sharma
AI ML Engineer, Generative AI, LLMs, AI Agents and Full Stack Development
Skills

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Portfolio
Work experience
Team Lead - AI/ML Developer
NeuroML • Self-employed
Jun 2025 - Present • 1 yr 4 mos
Leading AI/ML development at NeuroML.ai, with a focus on Generative AI, LLM applications, AI agents, chatbots, RAG systems, automation, and machine learning solutions. Responsible for designing AI architectures, guiding development teams, integrating third-party AI APIs, building scalable backend systems, and supporting full-stack AI products from concept to deployment. Also involved in code reviews, technical planning, API development, performance optimization, deployment, and mentoring developers while ensuring AI solutions are reliable, scalable, and production-ready.
Senior AI/ML Engineer
atronous • Full-time
May 2024 - May 2025 • 1 yr
Worked on the development of AI agents, LLM-powered applications, automation workflows, and machine learning solutions at Atronous AI. My role included designing agent workflows, integrating LLM APIs, building RAG-based systems, developing backend services, and connecting AI features with real-world business processes. I also worked on prompt engineering, API integrations, Python-based development, data processing, testing, and deployment of scalable AI applications. The focus was on building reliable, production-ready AI solutions that could automate tasks, improve decision-making, and support end-to-end intelligent workflows.
Full-Stack AI & Python Developer
Accenture • Full-time
Apr 2021 - May 2023 • 2 yrs 1 mo
Worked on full-stack and AI-powered application development using Python and modern web technologies. My role included building backend services, APIs, automation workflows, AI integrations, and scalable application features for enterprise use cases. I contributed to Python-based development, FastAPI/Django services, database integration, REST APIs, frontend integration, and deployment workflows. I also worked with AI/ML components, LLM integrations, data processing, and automation to support intelligent business applications. The role involved collaborating with cross-functional teams, improving application performance, writing maintainable code, and supporting production-ready solutions from development through deployment.