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K X Vinay Jose

Software Engineer at Dbiz Labs

I am a software engineer who works at a SaaS startup and builds LLM-based products for the web.

About

In 2019, I worked on a deep learning project to accelerate Topology Optimization for Automobile Body Parts and have been working on AI projects ever since.

My focus these days is deep-diving into LLMs and building Autonomous Multi-Agent Systems for SaaS products at Dbiz.AI.

In my free time I do data science projects to study the stock market. I also spend time playing around with diffusion models.

Experience

  1. April '22 — Sep '23

      ➢ Lead the chatbot engineering team to build & maintain NLP powered chatbots for our portfolio SaaS software - onboarded 5 new clients

      ➢ Developed the chatbot and API layer for the new Candidate Relationship Management (CRM) SaaS product - faster feature deployments using new architecture, reducing client onboarding times by a factor of 3

      ➢ Initiated performance monitoring procedures for all client chatbots to promote responsible AI practices and improve answering accuracy from 61% up to 89%

    • Python
    • Flask REST API
    • Shell
    • MongoDB
    • Natural Languge Processing
    • Microsoft Azure
    • Kubernetes
    • Jenkins CI
    • Docker
    • SQL
    • Git
    • RASA
    • Jira
  2. Jan '21 — April '22

      ➢ Worked in Product Development - coordinated digital design, validation & testing, prepared DFMEA reports

      ➢ Analysed issues with supplier contributions based on customer feedback to detect defects & report findings

    • Product development
    • Supplier management
    • Customer centricity
    • VBScript
    • MS Excel
  3. July '19 — June '20

    ➢ Developed & trained a novel neural network model to predict the solution of a conventional 2D Topology Optimization problem

    ➢ Posed as an image segmentation problem, a U-Net based solution methodology was proposed

    ➢ ResNet modules used in encoder-decoder networks to achieve accuracy (93.7 % in test dataset) higher than previously published models

    • Python
    • Computer Vision
    • SQL
    • Scikit-learn
    • Pandas
    • NumPy
    • Pytorch
    • VBScript
View Full Résumé

Projects

  • Intelligent Virtual Assistant with NLU for CRM - SaaS product

    ➢ Developed a chatbot from scratch using RASA framework for candidates to raise concerns & answer queries using NLU, REST API layer built using Flask to handle business requirements

    ➢ MongoDB used to store chat history data, application deployed to Kubernetes cluster using Jenkins CI

    ➢ The new virtual assistant architecture enabled faster feature shipments - reducing client onboarding times by a factor of 3

  • Atliq Technologies' Sales Data Analysis & Visualization using MySql, PowerBI

    ➢ The real sales data of Atliq Technologies was cloned from CodeBasics github repository (made publicly available for academic purposes)

    ➢ MySql was used for data wrangling and analysis, PowerBI Desktop was used to create a visualisation dashboard

    ➢ Insights were drawn on zone-wise sales all over India and identify top products, sales/profit margins in different cities

  • Introduction to Diffusion Models

    ➢ A collection of jupyter notebook tutorials created based on "How Diffusion Models Work" - a short course by DeepLearning.AI

    ➢ Added a new data visualization notebook for better understanding the data, fixed a few bugs and added new functions to facilitate easier follow-up of the original course