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Soham Kelkar
Carnegie Mellon ECE Masters Student - Graduating Dec 2019 - Looking for full-time roles in Applied Machine Learning
Professional Background
Soham Kelkar is a bright and innovative individual currently pursuing a Master’s degree in Electrical & Computer Engineering at Carnegie Mellon University, a prestigious institution recognized for its cutting-edge research and commitment to producing future leaders in technology and engineering. He is set to graduate on December 19, bringing with him a wealth of experience and a strong desire to delve into full-time opportunities in the expanding field of Applied Machine Learning, a domain that is transforming industries worldwide.
Soham has a solid foundation in engineering, having earned his Bachelor’s degree in Electrical and Electronics Engineering from BITS Pilani, India, one of the leading educational institutes. His undergraduate education equipped him with a robust understanding of both hardware and software aspects of computing. Courses such as Digital Design, Microprocessors, and Control Systems allowed him to build not only theoretical knowledge but also practical skills that he has effectively applied throughout his projects and internships.
Education and Achievements
At BITS Pilani, Soham excelled in both his academic endeavors and practical applications of his learning. His noteworthy achievement includes a comprehensive 6-month internship at Texas Instruments, where he had a significant impact by automating the validation process of voltage regulators. This innovative approach drastically reduced the test time from four days to an impressive 140 minutes, showcasing his capability to improve operational efficiency through engineering solutions.
Continuing his academic and professional journey at Carnegie Mellon, Soham has been actively involved in several key projects that leverage Natural Language Processing (NLP) and computer vision techniques. He has developed solutions for speech-to-text prediction, text generation, speaker verification, and event classification. These projects not only reflect his technical proficiency but also demonstrate his ability to tackle real-world challenges using machine learning techniques.
In addition to his work in NLP, Soham has a strong background in cloud computing. He successfully completed a course on Cloud Computing, which provided him with deep insights into cloud architectures. He applied this knowledge in designing an end-to-end service on AWS that generates follower recommendations for Twitter users, illustrating his versatility and understanding of modern cloud infrastructures.
Internship Experience
Soham's pursuit of practical knowledge did not stop at coursework alone. He gained hands-on experience during a summer internship as a Data Scientist at Schlumberger, a global leader in oilfield services. Here, he explored the field of predictive maintenance, an area of utmost importance in today’s data-driven industrial environment. His primary responsibilities included designing and deploying an end-to-end automated service for a machine learning model, which has already garnered more than 100 users. This experience reflects his ability to innovate in high-stakes environments and demonstrates his commitment to leveraging machine learning for impactful industrial applications.
Soham's enthusiasm for solving real-world problems with machine learning exemplifies his dedication to the field. His academic background, combined with practical experiences, positions him as a strong candidate for challenging roles in machine learning and artificial intelligence. His goal-oriented nature and ability to work collaboratively are valuable assets that he brings to any team.
Conclusion
With a robust education and impressive internship experiences, Soham Kelkar stands at the forefront of the Applied Machine Learning domain, eager to turn theoretical knowledge into impactful solutions. His technical acumen, combined with a strategic mindset, enables him to approach complex problems with creativity and efficiency. As he prepares to graduate from Carnegie Mellon University, Soham is excited to embark on the next stage of his career, ready to make significant contributions to the tech industry.
Achievements
- Bachelor's degree in Electrical and Electronics Engineering from BITS Pilani, India.
- Successfully completed a 6-month internship at Texas Instruments, automating the validation process of voltage regulators, reducing test time significantly.
- Developed and worked on various NLP-based projects, including speech-to-text systems and speaker verification.
- Designed an end-to-end AWS service for generating Twitter follower recommendations.
- Served as a Data Scientist intern at Schlumberger, creating a machine learning service with over 100 users.
Location
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