Keerthana S

KURIYERI PARAMBIL (H), 673571, Kozhikode, India.

About

I’m Keerthana S, a B.Tech. student in Mechanical Engineering at IIT Guwahati with a strong passion for AI and machine learning. Over the past few years, I’ve interned at institutions like Harvard University, IISc Bangalore, and IIST Trivandrum, where I worked on diverse projects including large-scale web scraping, coarticulation analysis using Euclidean distances, and building custom CNNs for facial emotion recognition.

I enjoy solving real-world problems with deep learning and have led projects like monitoring manufacturing processes and designing multi-intent transformer networks for recommendation systems. I'm proficient in Python, TensorFlow, PyTorch, and other data tools, and I’ve also been fortunate to receive recognitions such as the AWS AI/ML Scholarship and high ranks in multiple Kaggle competitions. I'm always eager to learn, build, and contribute to impactful solutions.

Work

Harvard University

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Data Engineer Intern

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Highlights

Implemented web scraping algorithms like Automated and API based for IEEE and ACM conference papers

Scraped over 45,000+ research papers and calculated LLM tokens (200 million+) using OpenAI GPT-4 tokenizer.

The collected material is crucial to validate the model's accuracy using OpenAI Models(GPT-3.5, GPT-40, GPT-4)

Spire Lab, Indian Institute of Science

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AI/ML Intern

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Highlights

Coarticulation on velar consonants /k/ and /g/in VCV sequence, analyzing 74 subjects x 7 frames = 3108 data.

The resulted (p-values nearly 0.0001) in the data analyze the symmetry among the frames in each subject.

Euclidean distance analysis shows that significant differences(p-value<0.05) occur at point -3 in the VCV sequence.

Indian Institute of Space-Science and Technology

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AI/ML Intern

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Highlights

Developed a custom CNN architecture for emotion detection with 0.89% accuracy, surpassing pre-existing models.

With improved FER performance, able to address the limitations and provide a liable tool in current FER systems.

Resulted in a 4.5% increase in accuracy and enhanced performance in recognizing and classifying emotions.

Volunteer

Manager

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Udgam, IIT Guwahati

Highlights

Managed Campus Ambassador Program, a team of about 800+ student ambassadors to promote club's activities.

Education

Indian Institute of Technology, Guwahati

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B.Tech Mechanical Engineering Grade: 6.76 (Current)

Kerala State Board

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Senior Secondary Grade: 98.08%

Kerala State Board

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Secondary Grade: 99%

Awards

AWS AI and ML Scholarship

Selected as one of the 1,000 students who applied for the program globally

Multi-Class Prediction of Obesity Risk Kaggle Competition

Secured a rank of 417 out of 3587 participants

LeetCode, Maximum Rating: 1593 | Weekly Contest 414

Secured a Rank of 3052 | Ranked in top 24.24%

Project at UIT Norway

Selected as one of the 50 students nationwide for this remote internship.

Playground Series S3E11 Kaggle Competition

Secured a rank of 69 out of 952 participants

All India Women Hackathon

Selected among 50 semi-finalist out of 1000+ participants

Skills

Programming

Python(NumPy, pandas, scikit-learn), C, CPP, HTML, CSS, Javascript, React, R.

ML Frameworks

Keras, TensorFlow, PyTorch, LLM, PySpark.

Miscellaneous

Git, MySQL, Power BI, GSSOC(open source), Cloud Management.

Key Courses Taken

Mathematics

Linear Algebra, Data Science Maths (Duke University).

Artificial Intelligence

Recommendation System Design Using Deep Learning, Computing with Signals.

MOOC's

Deep Learning Specialisation by DeepLearning. AI, AI programming with Python.

Projects

Monitoring of Manufacturing Process using Deep Learning | BTech Project

Knowledge Enhanced Multi-intent Transformer Network for Recommendation | Group Project

Facial Emotion Recognition | Image processing – IIST Trivandrum

Parental involvement in Child's Education | Research Industrial Conclave Hackathon