samarth kukreja
@samarthkukreja
Aspiring software engineer specializing in AI and machine learning.
What I'm looking for
My name is Samarth Kukreja, and I am currently pursuing a B.Tech in Computer Science at the National Institute of Technology, Kurukshetra, where I maintain a CGPA of 8.4. My academic journey has equipped me with a solid foundation in programming languages such as Python, C/C++, and Java, alongside a keen interest in machine learning and artificial intelligence. I have successfully completed internships that allowed me to design and deploy innovative AI solutions, including LLM-powered workflows and advanced speech recognition systems.
Throughout my internships, I have honed my skills in developing real-time applications, such as an object detection system for lunar terrain and a sign language detection system aimed at enhancing accessibility for the hearing-impaired. My projects reflect my commitment to leveraging technology for societal benefit, and I am passionate about continuing to explore the intersection of AI and real-world applications. I am eager to contribute my skills and knowledge to a dynamic team that values innovation and creativity.
Experience
Work history, roles, and key accomplishments
Software Engineer Intern
Velocius AI Labs
Jan 2024 - May 2024 (4 months)
Designed and deployed LLM-powered workflows using OpenAI API and LangChain, automating document processing and report generation. Executed data extraction with AWS Textract and implemented Selenium-based automation for bank transactions.
Research Intern
Dr. Vinayak Abrol - IIIT Delhi
May 2024 - Jul 2024 (2 months)
Researched fine-tuning techniques for an encoder-decoder model to optimize speech recognition, achieving a word error rate of 5 on the LibriSpeech dataset using PyTorch and Kaldi toolkit.
Education
Degrees, certifications, and relevant coursework
National Institute Of Technology, Kurukshetra
Bachelor of Technology, Computer Science
2021 -
Grade: 8.4
Pursuing a Bachelor of Technology in Computer Science with a current CGPA of 8.4. The program covers various aspects of computer science including programming, algorithms, and systems.
Modern Delhi Public School, Faridabad
Class 12th, Science
2019 - 2021
Grade: 95%
Completed Class 12th under the CBSE curriculum with a percentage of 95. The curriculum included a strong emphasis on science and mathematics.
Availability
Location
Authorized to work in
Salary expectations
Job categories
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