I begin with the why,then build systemsthat hold under load.
I’m Richie Vidyadhar Patil, a developer and creative solutions architect based in Mumbai. I read Computer Science, specialising in Artificial Intelligence and Machine Learning, with a minor in Business Management, at Amity University Mumbai. It was there that systems architecture and machine learning became a discipline, and there that I came to believe the finest solutions are shaped as much by business context as by code.
My practice rests on two principles: efficiency and scale. Every engagement begins with the why: the commercial objective, the performance it must meet and the expectations of the people who will rely on it. From there I build iteratively in Node.js, TypeScript and Python, and test with rigour, so that what ships feels effortless and stays dependable.
What moves me is distilling complex requirements into systems that are simple, considered and quietly resilient, and then watching them hold steady under pressure.
The instruments.
- Languages
- TypeScript, Python, R
- Runtime
- Node.js, Linux
- Frameworks
- Express.js, React, Pandas, NumPy, scikit-learn, Matplotlib
- Cloud
- AWS (Lambda, EC2, S3) and Azure (Functions, Cognitive Services)
- Data
- MySQL, Snowflake
- AI & ML
- Predictive modelling, generative AI, large language models, retrieval-augmented generation, NLP, LangChain, the OpenAI API
- DevOps
- Docker, CI/CD, serverless architecture, Git
- APIs & tools
- REST, GraphQL, Postman, Segment, Google Analytics
The record.
Strategy games, long-distance running, the kitchen and the trail. Each sharpens something the work depends on: foresight, endurance and the art of improvisation.
What is your area of focus?+
Backend systems in Node.js, TypeScript and Python; machine learning with scikit-learn, Pandas and LangChain; cloud infrastructure on AWS and Azure; data on MySQL and Snowflake; and delivery through Docker and CI/CD.
Which engagements do you take on?+
Backend platforms, applied machine learning, data pipelines and MLOps, from scalable SaaS and retrieval-augmented AI to ETL and automated data aggregation.
Startups or enterprises?+
Both. My work spans enterprise insurance systems and high-volume supply-chain SaaS, and I shape the process to the scale of the organisation.
How do you prefer to collaborate?+
Within cross-functional teams, with clear communication and thorough written documentation. I have also led small development teams to delivery against demanding timelines.