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Sweta Karlekar

Machine Learning Engineer @ Facebook

Professional Background

Sweta Karlekar is a dedicated and skilled machine learning engineer currently making significant contributions at Facebook, specializing in Bayesian Modeling and Probabilistic Programming Languages. With a robust academic foundation and an impressive portfolio of research and internship experiences, Sweta has established herself as a prominent figure in the field of machine learning and natural language processing.

Her career began to take shape during her undergraduate studies at the University of North Carolina at Chapel Hill where she majored in Computer Science and minored in Entrepreneurship. Sweta's passion for technology and innovation was evident early on, as she engaged in substantial research initiatives focused on new computational methods aimed at understanding learning interaction patterns among K-12 students. Additionally, she developed her capabilities in deep learning and NLP, producing noteworthy research that culminated in papers presented at prestigious conferences such as NAACL, NAACL-WiNLP, and EMNLP. Notably, her research addressed critical issues, including the detection of linguistic characteristics associated with Alzheimer's and the classification of domestic abuse and sexual harassment narratives.

Sweta’s commitment to excellence in her field was recognized with a nomination from NAACL-WiNLP as an outstanding undergraduate researcher. Furthermore, she participated in Google's esteemed AI Research Mentorship program, which allowed her to attend NeurIPS 2018 and receive mentorship from prominent research scientists at Google Brain. This experience not only enriched her knowledge but also expanded her professional network within the tech industry.

Education and Achievements

Sweta's educational journey began at the prestigious Thomas Jefferson High School for Science and Technology, where she developed a strong foundation in Computer Science, Computer Engineering, Biology, and Chemistry. She further pursued her studies at the University of North Carolina at Chapel Hill, culminating in a Bachelor of Science (B.S.) in Computer Science. Her academic achievements extend beyond coursework, evidenced by her research contributions and various roles in mentorship and leadership as a founding president of Club Luminous.

In addition to her academic pursuits, Sweta has completed a series of enriching internships across notable organizations, including:

  • Facebook: Where she currently holds the position of machine learning engineer. Here, she applies her expertise in Bayesian Modeling and develops innovative solutions in machine learning.
  • The Walt Disney Company: An emerging technologies intern, where she explored the intersection of creativity and technology.
  • MITRE Corp: As a deep learning and artificial intelligence intern, she contributed to advanced national security projects.
  • Yelp: Developing chatbots and building an anomaly detection platform, enhancing user experience and operational efficiency.
  • Bubble and Ethena: As a full-stack engineer, she honed her skills in Coffeescript, Javascript, and Typescript.

Notable Achievements

Aside from her internships and research experience, Sweta has also made a commendable impact in the realm of community service. She has volunteered as a Data Science Fellow with NC-Senate District 13's Democratic Campaign through Bluebonnet Data, employing her data analysis skills to support a meaningful political cause.

Sweta's diverse skills in data science and machine learning, coupled with her profound understanding of various programming languages and frameworks such as React and PostgreSQL, make her a well-rounded professional ready to tackle complex problems.

In her personal time, Sweta enjoys a variety of hobbies that reflect her vibrant personality, including baking, cooking, watching TV, reading science fiction and fantasy literature, and painting little rocks. This creative engagement in diverse activities molds her into a well-rounded individual, balancing her technical prowess with artistic expression and community involvement.

Related Questions

How did Sweta Karlekar's experience at the Google AI Research Mentorship program influence her career path in machine learning?
What specific projects has Sweta Karlekar completed during her time as a machine learning engineer at Facebook?
How does Sweta Karlekar apply her research on learning interaction patterns to real-world machine learning applications?
What motivated Sweta Karlekar to pursue a minor in Entrepreneurship alongside her major in Computer Science?
How has Sweta Karlekar integrated her interests in baking and painting with her professional life in tech?
Sweta Karlekar
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Location

Sunnyvale, California, United States