About me

I'm a Software Developer and AI/ML enthusiast from Vancouver, Canada, working to implement AI in existing platforms. I love to convert intricate problems into simple and refined user experiences.

My role involves leveraging AI technologies to develop websites that are not only functional and user-friendly but also visually engaging. I integrate AI-driven features to enhance user experience and personalize interactions, ensuring each solution is both eye-catching and intuitive. My aim is to effectively communicate your brand's message and identity through innovative AI applications. I have successfully implemented AI solutions for several prominent brands.

What I'm doing

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    Consultation

    Consulting businesses as to how they can leverage AI.

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    Web development

    High-quality development of sites at the professional level.

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    Artificial Intelligence

    I integrate Solutions Involving AI for Small and Medium Scale Companies

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    Machine Learning

    I develop custom machine learning models that derive business growth.

References

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    Corey Weber

    Karandeep was hired to implement AI in our existing platform. Implementing AI quickly with custom algorithms that worked flawlessly. We were very pleased with the work done. He has a lot of experience and is very concerned about the needs of client.

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    Robert Hughes

    I was overwhelmed with the thought of implementing AI and Mind maps functionality, but Karandeep made the process seamless. The site is not only visually appealing but also optimized for conversions. I've seen a 50% increase in traffic since the launch!

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    Ransford Seyki

    I couldn't be happier with the website that Karandeep created for us. His attention to detail and creativity is unmatched. Our clients frequently compliment the amount of time saved by incorporating AI in our existing Platform.

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    Bhavesh Khadikar

    Working with Karandeep has been an absolute pleasure. I was impressed with his attention to detail, his web development skills and his professional approach to our timelines and processes.

Daniel Lewis
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Corey Weber

Karandeep was hired to implement AI in our existing platform. Implementing AI quickly with custom algorithms that worked flawlessly. We were very pleased with the work done. He has a lot of experience and is very concerned about the needs of Company.

Resume

Education

Download Detailed Resume

  1. AZURE Devops

    Show Credentials 2025

    This credential demonstrates my expertise in leveraging Azure Devops and making use of Docker, Kubernetes, Terraform within Azure enviroment to ensure uptime, scalability and robustness of applications to the end user.

  2. AWS Machine Learning Speciality Certificate

    Show Credentials 2023

    AWS Machine Learning certification reflects my comprehensive understanding of machine learning concepts and demonstrates my ability to design, implement, and manage effective machine learning solutions on the AWS platform.

  3. AZURE AI Engineer Associate

    Show Credentials 2024

    This credential demonstrates my expertise in leveraging Azure AI and Machine Learning services to build, train, and deploy robust machine learning models. I possess hands-on experience with Azure Cognitive Services, effectively utilizing pre-built APIs for a variety of tasks related to vision, speech, language, and decision-making.

  4. Durham College

    2022 - 2023

    Artificial Intelligence, Design and Implementation

  5. Delhi University

    2018 - 2021

    Bachelors in Computer Science

Experience

  1. CIVONUS - AI Implementation Specialist

    2024 - Present

    The mission of Civonus is to help governments and public institutions make the best policy decisions.
    • Currently engaged in integrating AI capabilities into an existing platform, focusing on enhancing content discovery by identifying similar posts and generating concise summaries. This involves leveraging serverless functions for efficient data processing and utilizing embeddings from AWS and hosting a llama model on Sagemaker.

    • I employ advanced algorithms for similarity searches, including DBSCAN, KNN, and pairwise similarity calculations, to derive meaningful similarity scores that improve user experience and engagement and host this microservice online on serverless functions.

    • Additionally, I am utilizing the MERN stack to develop robust controller functionality that effectively manages API requests from the front end. In my implementation, I employ React to build a responsive and interactive user interface.

    • Furthermore, I have integrated WebSocket and polling functionalities to facilitate real-time updates. For data storage, I utilize AWS S3 to handle large files, while AWS Lambda is employed for asynchronous processing, ensuring a scalable, concurrent, and efficient architecture that meets the demands of our users.

    • I have utilized React-Flow to automate and create Mind Maps similar to MIRO, saving 10 hours per project of manual work.

  2. Azionic - AI/ML Developer | Full stack Developer

    2023 - 2024

    The mission of Azionic is to help integrate AI in small and medium scale businesses.
    • I have successfully implemented a range of advanced large language models (LLMs), including GEMINI, Claude, Mistral, Reka Flash, GPT-4, and Llama. My focus has been on optimizing prompt engineering to enhance the quality and relevance of the model outputs. This includes moderating responses to ensure they meet user expectations and align with specific content guidelines.

    • Additionally, I developed an AI agent designed to generate blog content while concurrently performing automatic SEO optimization using Google Trends. [This integration not only enhances content visibility but also drives engagement by aligning with trending topics. This reduces human input for searching and writing efficient articles and further increases productivity.]

    • To streamline data retrieval and provide users with concise information, I implemented a Retrieval-Augmented Generation (RAG) architecture. This approach allows for the effective summarization of related data, making it easier for users to interpret complex information.

    • For deployment, I host the 8-billion parameter Llama model on AWS Bedrock, utilizing its scalable infrastructure for efficient model management. I leverage AWS DynamoDB to store responses, ensuring low-latency access and reliability. Additionally, I have integrated FAISS (Facebook AI Similarity Search) within user sessions to minimize hallucinations and improve the accuracy of conversational retention over extended interactions..

    • To further enhance functionality, I utilize AWS Lambda for serverless computing, allowing for on-demand execution of code in response to specific events. This setup streamlines processing tasks and reduces operational overhead. Moreover, I am exploring AWS Comprehend for natural language processing tasks, enabling deeper insights into user interactions and content analysis.

  3. AI/HUB - AI Research Assistant

    2023

    The mission of AI/HUB is to create innovative solutions utilizing AI and Machine Learning.
    • In my role, I successfully designed and implemented a comprehensive Q&A platform utilizing Retrieval-Augmented Generation (RAG) architecture, significantly improving access to academic resources by intelligently integrating data from over 4,000 web pages. Implemented everything utilizing Django for backend, Html, CSS and JS for frontend.

    • Additionally, I developed a real-time, time-series data analytics platform aimed at dynamic stock market sentiment analysis. This platform provides predictive insights that empower investors to make informed decisions based on current market trends. Created this as a personal project and submission of this project is made on Lablab.

    • I led the development and validation of various predictive models, leveraging through exploratory data analysis to enhance predictive accuracy and operational intelligence.

    • Furthermore, I fine-tuned large language models (LLMs) to tackle various natural language processing tasks, such as multilingual translation and entity recognition, achieving high accuracy rates and broadening their functional capabilities. Utilizing these for learning about fine tuning and developing prototypes to present to the clients.

    • My strategic involvement in AI implementation also included providing insights into effective prompt design, which significantly improved the performance and output quality of language models. Tailoring inputs utilizing one shot prompts to get desired results from LLM without hallucinations and implementing checks at every output.

  4. Softel Solutions - Software Developer

    2020-2022

    The mission of Softel Solutions is to help government institution implemnet AI solutions to their platforms.
    • Engineered robust APIs and efficiently managed databases within the Azure ecosystem, leveraging Azure API Management for seamless integration and scalability. Utilized Azure Cosmos DB to ensure optimal data storage and retrieval, implementing best practices for logging errors.

    • Developed and deployed serverless functions using Azure Functions to enhance application concurrency and reduce latency. This comprehensive approach ensured high availability, scalability, and reliability of applications, effectively supporting business objectives.

    • Implemented an advanced caching strategy utilizing Amazon CloudFront. This approach significantly improved website performance by minimizing load times and optimizing content delivery.

    • I developed a comprehensive functionality in a web app using Django that leverages Azure Bot Services to effectively solve user queries and guide them to relevant content on the website. [ This bot is designed to provide instant assistance, answering frequently asked questions and helping users navigate the site more efficiently.] [ Additionally, I implemented functionality that allows users to connect with a human representative if their queries require further assistance, ensuring a seamless and supportive user experience. This integration not only enhances user engagement but also improves overall satisfaction by providing quick and accurate responses.]

    • Implemented custom form recognizer/ AI Document Intelligence model utilizing Azure to read custom user filled forms for tax filing purposes.

My Skills

  • Machine Learning
    70%
  • Artificial Intelligence
    65%
  • Full Stack Developer
    75%
  • AWS AZURE
    60%

Blog

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Design

Design conferences in 2024

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Contact

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