Akshat K.

AI Engineer | Founder @ Agaami AI Labs | Data Science | Machine Learning | Business Intelligence | Building Scalable AI Solutions

Varanasi, Uttar Pradesh, India

About

I am an AI & Machine Learning enthusiast, Data Science professional, and founder passionate about building technology that solves meaningful problems. Currently, I am building Agaami AI Labs, where we explore and develop AI-driven solutions designed to create real-world impact. My work sits at the intersection of Artificial Intelligence, Machine Learning, Data Science, and Business Intelligence. I believe great products are not built on assumptions—they are built on insights. This belief has driven me to continuously strengthen my expertise in data analytics, machine learning, and product development. My interests include: • Artificial Intelligence & Machine Learning • Generative AI & LLM Applications • Data Science & Analytics • Product Development • Startup Building & Innovation I am always open to collaborating with innovators, founders, researchers, and organizations working on ambitious ideas. Let's connect and build the future together.

Experience

  • Co-Founder at Agaami AI Labs
    Jan 2026 - Present · 7 mos

  • Software Engineer - Trainee at Innodeed Systems Private Limited
    Jun 2024 - Feb 2025 · 9 mos

  • AI&ML Intern at Futurense Technologies
    Jan 2024 - May 2024 · 5 mos

    During my internship, I gained hands-on experience in Python, SQL, and Power BI while working on various data analysis tasks. My final project involved a comprehensive analysis of Airbnb data, where I cleaned, processed, and visualized large datasets to derive actionable insights. This project allowed me to apply and enhance my skills in data manipulation, querying databases, and creating interactive dashboards.

  • Data Science Intern at CodeAlpha
    Nov 2023 - Jan 2024 · 3 mos

  • Data Science Intern at Suvidha Foundation (Suvidha Mahila Mandal)
    Feb 2023 - Mar 2023 · 2 mos

    During my internship at Suvidha Foundation, I worked on implementing a research paper in the field of Natural Language Processing (NLP). This project involved deep exploration of advanced NLP techniques, including text preprocessing, tokenization, and language modeling. I applied concepts such as word embeddings, sentiment analysis, and topic modeling to achieve the desired outcomes outlined in the paper.