Hi Visitor,

Rajat is an IIT Jammu graduate in Computer Science. Here are some highlights of his background and skills:

Proficient in problem-solving and active on various competitive programming platforms, such as HackerEarth, Codechef, Leetcode, GeeksForGeeks, Hackerrank, etc.
Experienced in programming languages, including C, C++, and Python.
Interested in Machine Learning with a focus on Python 3. Through self-study and coursework, he has explored various ML algorithms, such as Linear Regression, Logistic Regression, KNN, SVM, and Decision Trees.
Worked on NLP projects using techniques like Bag-of-Words (BoW), tf-IDf, Word2Vec, Transformers, BERT, LLMs etc.
Solid understanding of fundamental Computer Science subjects, including Operating Systems, Database Management Systems, Computer Networks, Object-Oriented Programming Concepts, Deep Learning, and Computer Vision.
Proficient in Web Development using HTML, CSS, JavaScript, and JQuery. Additionally, he has experience with the MERN Stack (MongoDB, Express JS, React JS, Node.JS).
He has successfully submitted his Master's thesis on "Temporal Action Localization in Untrimmed Videos" using Deep Learning Techniques.
Managed the "Agastya" High-Performance Service at IIT Jammu's Data Center.
Work experience includes internships at Amazon (Applied Scientist Intern), Zomato (Machine Learning Engineer), Ericsson Research GAIA (Data Scientist), Baker Hughes (Software Engineer) etc.

SKILLS

C++

Python

Data Structures

Machine Learning

Deep Learning

NLP

PyTorch

Work Experience

Software Engineer

Texas Instruments

Sep 2024 – Present

- Optimizing Testware architecture to streamline and scale execution across multiple stages of semiconductor manufacturing. - Rearchitecting legacy codebase to improve maintainability and address risk acceptance challenges.

Data Scientist I

Precisely Software and Data Ltd.

Aug 2023 – Sep 2024

– Developed automated processes for deduplicating geo-addresses across multiple countries using Python. – Established data pipelines for all countries to deploy the current system, including quality assurance.

Applied Scientist Intern

Amazon Development Center

Feb 2023 – Jul 2023

– Worked on deals sourcing and ranking models for Amazon`s Deals of the Day & Lightening Deals events. - Boosted performance by 4% for billions of products by using embedding-based enhancements in the network.

Machine Learning Intern

Zomato

Aug 2022 - Nov 2022

– Leveraged reinforcement learning to deliver personalized food/grocery ordering recommendations. – Incorporated the Facebook ReAgent model to enhance the existing model’s performance by 29%.

Engineeering & Technology Intern

Baker Hughes, a GE Company

Dec 2021 – Feb 2022

– Streamlined complaints classification for departments by 91% using ML and NLP methods. – Utilized SQL queries to extract previous data and successfully classified issue types for departments.

Data Science Intern

Ericsson GAIA R&D

Jul 2021 - Dec 2021

– Reduced time and human efforts by 200x using automation of detecting faults in cell towers using ML models. – Implemented a research paper called NO TEARS on the company’s telecom dataset to achieve the same.

Education

M.Tech.

IIT JAMMU

CGPA-8.67/10

Sept 2020 - Jun 2023

Graduated with M.Tech. in Computer Technology. Courses studied were Design & Analysis of Algorithms, Data Sctructures, High-Performance computing, Machine Learning, Deep Learning, Computer Vison, Computer Networks, Linear Algebra, Data organization and retrival, IoT.