Building practical AI solutions that make complex information easier to explore, understand, and use.
I’m an AI Engineer at Capgemini with a product-minded approach to technology. My work spans conversational applications, machine learning, and multimodal AI—always starting with the user problem and aiming for software that is clear, useful, and reliable.
|
Designing chat-based experiences that help people discover answers in unstructured content. |
Exploring language-and-vision systems and practical applications of machine learning. |
|
Turning AI ideas into accessible web applications with thoughtful developer experience. |
Using prior product experience to prioritize real needs, clarity, and measurable value. |
| Role | Perspective | |
|---|---|---|
| Now | AI Engineer — Capgemini | Building practical AI solutions across ML, GenAI, and modern application development. |
| Previously | Associate Product Manager — Bharti Airtel | Worked at the intersection of technology, data, and business—experience that still shapes how I approach AI systems. |
| Foundation | NanoBios Lab · Semi-Conductor Laboratory · GNDEC (ECE) | Software-development internship experience and an Electronics & Communication Engineering background. |
|
A conversational application for exploring YouTube video transcripts. Django · Chatbot workflows · Transcript intelligence |
A chatbot experience built around YouTube video content. Flask · Conversational AI · Web development |
|
An exploration of multimodal contrastive language-image pretraining. Python · Machine Learning · Multimodal AI |
A web application for assignment workflows, feedback, and communication. Flask · HTML · Web applications |
AI & data
Python · Machine Learning · Generative AI · NLP · Computer Vision · Multimodal AI
Engineering
Flask · Django · JavaScript · React · Node.js · SQL · MongoDB · Git · Linux · AWS
I’m always interested in thoughtful conversations around applied AI, GenAI, and developer tools.


