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✨ Hello There, I am Adithya S Kolavi!

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