Hello, I'm Sesh tej. I'm a Machine Learning Engineer
About me
After graduating with a degree in Accounting, I decided to pursue my passion for programming. I enrolled in a coding bootcamp and learned full-stack web development. My favorite part of programming is the problem-solving aspect. I love the feeling of finally figuring out a solution to a problem. My core stack is React, Next.js, Node.js, and MongoDB. I am also familiar with TypeScript and Prisma. I am always looking to learn new technologies. I am currently looking for a full-time position as a software developer.
When I'm not coding, I enjoy playing video games, watching movies, and playing with my dog. I also enjoy learning new things. I am currently learning about history and philosophy. I'm also learning how to play the guitar.
My projects
CorpComment
I worked as a full-stack developer on this startup project for 2 years. Users can give public feedback to companies.
- React
- Next.js
- MongoDB
- Tailwind
- Prisma
rmtDev
Job board for remote developer jobs. I was the front-end developer. It has features like filtering, sorting and pagination.
- React
- TypeScript
- Next.js
- Tailwind
- Redux
Word Analytics
A public web app for quick analytics on text. It shows word count, character count and social media post limits.
- React
- Next.js
- SQL
- Tailwind
- Framer
My skills
- Python
- C
- C++
- MATLAB
- SQL
- PyTorch
- TensorFlow
- vLLM
- Hugging Face
- LangChain
- OpenAI
- Scikit-Learn
- SpaCy
- Docker
My experience
Teaching Assistant
Pennsylvania State University
Oversaw all aspects of Programming Language Concepts course, including assignment creation, exam supervision, project ideation, and student support in Python, Scheme, OOP, alongside coordinating course logistics and communications
August 2024 - PresentNLP lab — Research Assistant
Pennsylvania State University
Developed and implemented Python scripts to simulate physical interactions using the PHYRE environment extracting object parameters such as position, velocity. Analyzed and extracted object parameters, ensuring data aligned with the ESPRIT dataset structure for machine learning tasks
July 2024 - PresentAI Research Assistant
Jefferson lab — Summer Research Internship
As part of my internship, I successfully applied machine learning techniques to analyze experimental data and create 3D models of proton distributions in nuclei. I also developed a Python-based data analysis pipeline and utilized advanced visualization techniques to contribute to advancements in modern physics and astrophysics research.
May 2024 - presentMachine Learning Engineer
Graphene AI Health Tech Pvt.Ltd
As a Machine Learning Engineer at Graphene AI Health Tech, I successfully implemented a relevance filter and knowledge graph, improving data extraction efficiency and reducing deployment time. These advancements contributed to the company's overall success in leveraging AI for healthcare applications.
June 2022 - August 2023Contact me
Please contact me directly at [email protected] or through this form.