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AdarshMishra26/README.md

Adarsh Mishra

AI Engineer at Capgemini · Applied AI · ML · GenAI

LinkedIn Portfolio GitHub

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.

Focus areas

🤖 Conversational AI

Designing chat-based experiences that help people discover answers in unstructured content.

👁️ Multimodal ML

Exploring language-and-vision systems and practical applications of machine learning.

🧩 Applied Engineering

Turning AI ideas into accessible web applications with thoughtful developer experience.

🎯 Product Thinking

Using prior product experience to prioritize real needs, clarity, and measurable value.

Experience

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.

Featured work

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

Toolkit

AI & data
Python · Machine Learning · Generative AI · NLP · Computer Vision · Multimodal AI

Engineering
Flask · Django · JavaScript · React · Node.js · SQL · MongoDB · Git · Linux · AWS

Let’s connect

I’m always interested in thoughtful conversations around applied AI, GenAI, and developer tools.

LinkedIn · Portfolio · GitHub


AI engineering with a product mindset: understand the problem, build responsibly, and ship something useful.

Pinned Loading

  1. Video-Analyzer Video-Analyzer Public

    This is a Django application that utilizes a chatbot to interact with YouTube video transcripts. Users can input a YouTube video URL, and the chatbot will generate responses based on the content of…

    JavaScript

  2. TranscriptBot TranscriptBot Public

    This is the project submitted to IIT Bombay. This is a Flask application that utilizes a chatbot to interact with YouTube video.

    HTML 1

  3. Assignment-Feedback-System Assignment-Feedback-System Public

    This is the major project submitted to college. This is a web application developed using Flask for managing student assignments, providing feedback, and facilitating communication between students…

    HTML 2 1

  4. SCL-Project SCL-Project Public

    This is the Repository which contains the detail of my work done at SCL Mohali (formerly Department of Space, ISRO). This was the internship basically focused on the "Experimental Analysis of MOS C…

    HTML 2 1

  5. rahulkrjv/Wine-Quality-Analysis rahulkrjv/Wine-Quality-Analysis Public

    This repository contains Python code for the analysis of the Wine Quality dataset, which includes physicochemical properties and wine quality ratings for both red and white wine variants of Portugu…

    Jupyter Notebook 1 1

  6. FitTrack FitTrack Public

    It is designed to help users maintain a healthy lifestyle by tracking their daily activities, exercise routines, calorie intake, and providing personalized health recommendations.

    HTML 1 2