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✨ Hello There, I am Adithay S K!

I am a Cloud Engineer🚀

I am currently in my 5 semester!

About Me

I am Adithya S Kolavi, a highly motivated and versatile technologist based in Bangalore, India. With a passion for innovation and a keen interest in cutting-edge technologies, I have honed my skills in various domains, including web development, machine learning, artificial intelligence, and IoT. My journey in the world of technology has been marked by a relentless pursuit of knowledge and a commitment to pushing the boundaries of what is possible.

Experience

Research Intern August 2023 – Present Indian Institute of Science, Bangalore

  • Working on optimizing and fine-tuning Large Language Models for production use cases.
  • Building Application for prompt testing and optimization.
  • Researching on the economics of Deploying Large language models.
  • Generative AI Developer May 2023 – August 2023 Mandelbulb Technologies, Jaipur

  • Built an end-to-end generative AI application that utilizes the latest generative AI models and tech stack.
  • Optimized the application for production, ensuring efficient and scalable performance.
  • Deployed an enterprise-level document query system and hosted the application on Azure, optimizing costs while ensuring 99% uptime and 100% consistency in the AI pipeline.
  • Generative AI Research Intern June 2023 – July 2023 Answer Cloud Technologies Pvt Ltd, Mumbai

  • Worked on AI-generated report generation using Language Models (LLMs) to evaluate and test employees.
  • Researched and implemented robust video generation pipelines and face recognition pipelines optimized for cloud-based deployments.
  • Developed a video generation pipeline that maintains style consistency and prompt relevance.
  • Full Stack Developer Intern April 2023 – May 2023 Placify, Bangalore

  • Full stack web developer intern and cloud engineer at Placify, a startup incubated by PESU Venture Labs, aiming to assist students in tracking and monitoring their placement opportunities.
  • Responsible for designing and implementing scalable cloud infrastructure for the product, while also developing and maintaining full-stack web applications.
  • Software Developer Nov 2022 – April 2023 PocketCoach - pcsports.in, Bangalore

  • Developed a professional WordPress website for the Pocket Coach team, contributing to the team’s successful seed funding from the Cisco THINQubator program.
  • Currently working as a developer on a high-performance cross-platform app using Flutter that is optimized for both Android and iOS.
  • Full Stack Developer Intern Sept 2022 – Dec 2022 Enable Upcycling - enableupcycling.com, Bangalore

  • As a full-stack web developer at Enable Upcycling, I designed and developed the e-commerce website enableupcycling.com from scratch.
  • Optimized the website for performance, accessibility, and SEO, achieving a 99.9% uptime rate during load testing.
  • UI/UX Designer April 2022 – December 2022 Interra, Bangalore

  • As a UI/UX designer at Interra, I designed an intuitive and visually appealing app for [description of target audience].
  • Collaborating closely with the frontend team, I created wireframes, prototypes, and visual designs that adhered to best practices for UI/UX design.
  • Major Project Intern April 2022 – Present IEEE RAS PES University - Phoneix VTOL Flight test, Bangalore

  • Building a VTOL UAV (Vertical take-off and Landing Unmanned aerial vehicle) which can be used for medicine delivery, surveillance, and search and rescue operations.
  • Developed a prototype of the VTOL UAV with increased stability and maneuverability, demonstrated in simulated tests that decreased the uptake of a task by 10%, and enabled the UAV to stay airborne for up to 30 mins.
  • Projects

    CompanionLLama

  • Python, Huggingface, Transformers

  • Source Code

  • Fine-tuned LLama2 language model to create a sentient companion for meaningful conversations.

  • Customized dataset preparation for training the CompanionLLama model.

  • Implemented a web-based interface for user interactions and conversations.

  • Named the companion "Avalon" (Artificial Virtual Assistant with Logical and Operational Navigation).

  • Story Blocks

  • Python, Moviepy, OpenAI, Diffusers, Stable Diffusion

  • Source Code

  • Utilized generative AI to transform text into visual narratives.

  • Combined OpenAI’s text generation model and Stable Diffusion for image synthesis.

  • Enabled users to create captivating video narratives with vivid visuals.

  • Supported customization of image style and animation speed for a unique experience.

  • Diffusechain

  • Python, Automatic1111, Diffusers

  • Source Code

  • Developed a code-first library to simplify the generation of stable diffusion-based images.

  • Integrated with Automatic1111 and Diffusers for automated image generation workflows.

  • Supported prompt optimization, consistent image generation, and storage integration.

  • Designed for prototyping and experimentation with AI image generation.

  • Coursurf

  • NextJS, MongoDB, FastAPI, Selenium, Python

  • Source Code

  • Designed and developed a website that uses Selenium and FastAPI to scrape courses from multiple course providers.

  • Implemented algorithms and machine learning models to analyze the scraped data and recommend the best courses based on user preferences and ratings.

  • Integrated a user-friendly interface that allows users to search for courses, filter results, and compare course details.

  • AIWA

  • Python, OpenCV, Mediapipe, Keras, TensorFlow

  • Source Code

  • An AI workout assistant developed using OpenCV and Mediapipe.

  • Helps individuals improve their form and technique during workouts.

  • Uses computer vision and machine learning to detect and analyze a person’s movements in real-time.

  • Provides real-time feedback to improve form and technique with visual and audio cues.

  • Provides users with valuable insights into their performance and improvement.

  • Attendance System

  • Python, TensorFlow, Keras, Facial Recognition, Flask

  • Source Code

  • Developed a Flask-based mobile app for student attendance tracking using face detection.

  • Integrated OpenCV for image processing and used machine learning to improve accuracy.

  • Implemented a database using Flask-SQLAlchemy to store student information and photos.

  • Collaborated with a team of developers, using Git and Agile methodologies for project management.

  • Created a user-friendly interface for teachers to view attendance records.

  • Shakthi

  • Arduino, ESP32, Embedded C, Firebase, HTML, CSS, JS

  • Source Code

  • Designed and developed a small and compact device to monitor electrical appliance power consumption and remotely control appliances.

  • Integrated an app-based interface to view power consumption data and remotely switch appliances on and off.

  • Utilized wireless connectivity technologies, such as Bluetooth or Wi-Fi, for remote control and data transfer.

  • Employed sensors to accurately measure and monitor electrical appliance power consumption.

  • Designed a sleek and user-friendly physical device, with consideration for safety and efficiency.

  • Agribot

  • Arduino, Embedded C, Firebase, Think Speak, Raspberry Pi

  • Source Code

  • Designed and developed an agribot equipped with sensors and machine learning capabilities to collect data about plants and soil in a field.

  • Utilized machine learning algorithms to analyze the data and predict the best plant that can be grown in the field.

  • Integrated autonomous navigation capabilities into the agribot, allowing it to move around the field and collect data independently.

  • Developed a user-friendly dashboard to display the data collected by the agribot and provide insights into crop performance and potential yield.

  • Phoenix

  • ArduPilot, Arduino, Aero-Modeling

  • Source Code

  • Designed and developed a vertical take-off and landing (VTOL) aircraft with a tri-copter configuration for efficient medicine delivery to rural clinics.

  • Utilized advanced flight control systems, such as GPS and computer vision, to ensure accurate and safe delivery of medicines.

  • Successfully demonstrated the VTOL’s capabilities through a series of field tests and prototype iterations.

  • Socials

  • GitHub: GitHub Profile
  • LinkedIn: LinkedIn Profile