About Me


Hi! I am Tirth. I am a recent graduate from University of Wisconsin-Milwaukee, majoring in Computer Science Engineering. My broad interests lie in Artificial Intelligence, particularly in Generative AI, Computer Vision, Deep Learning, and Machine Learning.

During my masters at UWM, I worked as a Graduate Teaching Assistant where I assisted in teaching Computer Networks, Operating Systems, and Introduction to Python. Through innovative course materials, I enhanced student engagement by 40% and understanding by 20%. Additionally, I led Python lab sessions, resulting in a 25% increase in lab performance scores.

Previously, I worked at Cloudstrats as a Machine Learning Engineer, during my 2 years at Cloudstrats, I developed the Nayan AI web platform, incorporating advanced computer vision features like weapon detection, image detection, person counting, and video processing using Flask, Django, OpenCV, and SciPy. I implemented YOLO weights and custom in-house developed models for feature enhancement. I also engineered and optimized both front-end and back-end components, deploying the platform on AWS and Azure per client requirements, ensuring scalability and reliability using Docker and Kubernetes. My contributions included showcasing diverse use cases, scaling features based on demand, and enhancing team expertise in cloud technologies, building APIs, and containerization, which significantly contributed to customer acquisition and revenue growth.

During my Bachelor’s in Computer Science with AI in Specialization from Jain University, Bangalore, I got an opportunity to work as a Machine Learning Intern at 3i Infotech Ltd., where I designed and developed an internal face recognition project for maintaining employee attendance logs. I utilized OpenCV and Face Recognition libraries to develop accurate facial recognition models and used Git for version control. By fine-tuning hyperparameters, I achieved a 94% success rate in model accuracy.

I also had a chance to volunteer as a Web Developer Intern at Escafate where I helped them develop an LMS website for helping Visually Impaired Students learn online during these hard times.

I am a huge fan of travelling, already visited 4 countries and counting! I am also a huge fan of TV series, having watched most of the popular sitcoms, sci fi and horror shows!! I am also a state level Basketball player and have also played the CBSE Clusters tournament twice!

Recent Education:


Master of Science in Computer Science, University of Wisconsin-Milwaukee
Coursework: Computer Networks, Computer Architecture, Computational Models of Decision Making, Artificial Intelligence, Introduction to Machine Learning, Natural Language Processing, Cloud Computing, Image Processing, Requirement Definition and Management

Research Interests:


My research interests primarily lie in the fields of Computer Vision and Machine Learning, as well as their applications. I am determined to automate pretty much everything, though I am slightly inclined towards researching on Computer Vision and Pattern Recognition for Object detections. This sparks my interest in AI/ML. Recently, I have also developed a keen interest in Generative AI, particularly in the development and application of Large Language Models (LLMs). I am fascinated by their potential use cases, such as automated content creation, natural language understanding, and conversational agents. I am excited about exploring how LLMs can revolutionize various industries by enhancing efficiency and creating new opportunities. Additionally, I look forward to working on creating a Stock Predictor with the highest precision among existing models, capable of operating in real-time stock markets.

Achievements


* Won 2nd Place in Meta Llama 3 Hackathon, San Francisco
* Published a paper titled "Integrated Image and Location Analysis for Wound Classification" in Nature's Scientific Reports
* Getting Started with Python - University of Michigan
* MTA : Introduction to Programming Using Python - Microsoft
* Neural Networks and Convolutional Neural Networks Essential Training - LinkedIn
* Quality Management Foundations - LinkedIn
* CBSE Clusters Basketball Runners-up at State-Level in 2017
* CBSE Clusters Basketball 2nd Runners-up at State-Level in 2016
* District level Basketball Champions in 2016-17
* Inter-house School Basketball Champions in 2016-17

link to my resume