Research Assistant Learning Engineer

SYAMALA MADDINA

*** ****** ****** **** ***** West, Cincinnati, Ohio 45220

+1-972-***-**** *************@*****.*** www.linkedin.com/in/syamalamaddina

EDUCATION:

Master of Engineering, Artificial Intelligence Expected Graduation: April 2023

University of Cincinnati, Cincinnati, OH

GPA: 3.834/4.0

Relevant Coursework: Building Smart Business Assistants with IBM Watson, Coursera

Bachelor of Technology, Computer Science and Engineering 2018-2022

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

CGPA: 9.1/10

Awards and Honors: Member of CSI student board 2019 - 2021

Relevant Coursework: Machine Learning with Python, Facial Expression Recognition with Keras, Python for Data Science, AI & Development, Python Data Structures.

CLASS PROJECTS:

Friendly AI_chatbot Aug 2022 – Dec 2022

University of Cincinnati, Cincinnati, OH

Chats with the user as a friend.

Used neural networks to train the model with my own dataset which can be enhanced with additional AI technology.

Clustering analysis on unlabeled data Aug 2022 – Dec 2022

University of Cincinnati, Cincinnati, OH

Grouped the employees based on their attributes by applying various clustering algorithms like KMeans, KMedoids, and Self-organized maps.

Applied various techniques like Data pre-processing, encoding, normalization, feature correlation, Principal Component Analysis, Silhouette analysis, etc.

Face Emotion Recognition System Feb 2022 – June 2022

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Developed a hybrid model of Convolutional Neural Networks and swin transformer for Face Emotion Recognition.

Twitter Sentiment Analysis Dec 2020 – Feb 2021

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Developed a sentiment analysis model using a Stochastic Gradient Descent classifier that analyzed customer feedback and classified it as positive, negative, or neutral.

Marking Attendance using Face Recognition system Aug 2020 – Dec 2020

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Automate the class attendance process using Face Recognition

Used OpenCV to detect and train the images, Tkinter GUI interface.

Portfolio Page Making Jan 2020 – Mar 2020

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Web-based project, used to build resumes, store excellence certificates, and take proficiency tests.

Used HTML5, CSS3, JavaScript, PHP, and Bootstrap technology.

Diabetes Detection System Aug 2019 – Dec 2019

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Decides whether the user is Diabetic or not based on a few yes or no questions.

Used decision-tree algorithm.

EXPERIENCE:

Research Assistant Feb 2022 – June 2022

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Done Research on the topic of Transformer models for FER, published a journal in the International Research Journal of Engineering and Technology (IRJET).

Member of CSI student board Jan 2019- Jan 2021

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Participated and volunteered in various workshops.

EXTRACURRICULAR ACTIVITIES:

Co-Ordinator

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Deep Learning workshop held in Srujanankura event 2020.

HONORS:

Received a Consolation Prize at the National Project-Expo competition March 2020

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Appreciation Certification in Deep Learning Workshop March 2020

Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

Second prize in paper presentation on Blockchain technology Dec 2019 Vignan’s Foundation for Science, Technology & Research, Guntur, Andhra Pradesh, India

SKILLS:

Programming languages: Proficient in Python programming including popular ml libraries and tools such as TensorFlow, Scikit-learn, pandas, numpy, sklearn, lambda, api, performance metrics, matplotlib, and excel, and experience with SQL,C, and C++ programming languages. Additionally, experience with Matlab programming language to create fuzzy models and for data visualization. I can be a good fit for information technology and also computer engineering areas.

Machine learning algorithms: Knowledge of supervised and unsupervised machine learning algorithms, such as regression, decision trees, Naive Bayes, clustering, SVM, KNN, and neural networks. Experience with pytorch, a machine learning framework for building and training deep neural networks. Also experienced in the optimization of ML models. I can be a good fit as a machine learning engineer and also application developer.

Deep learning techniques: Experience with deep learning techniques such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and transformer models.

Soft Computing: Knowledge of Fuzzy systems and experience with fuzzy Applications in real life.

Mathematical foundations: Strong understanding of mathematical foundations such as linear algebra, calculus, and statistics, as well as their applications in AI. Knowledge on relational database, analytical skills

Natural Language Processing (NLP): Knowledge of NLP techniques and their applications, such as sentiment analysis, text classification, etc.

Computer Vision: Knowledge of testing computer vision techniques, such as object detection, image classification, and segmentation.

Data preprocessing and cleaning: Experience with data preprocessing and cleaning techniques, such as data normalization, encoding, PCA, and feature engineering.

Software development: Familiar with methodologies such as Agile, Scrum, or Waterfall and Experience with data structures, algorithms, dynamic programming, and Strong software engineering skills. Experienced in complex problem-solving using analytical and critical thinking skills.

Management: Applied Leadership of Project Teams, and knowledge of Quality Control Techniques. Strong communication skills and work with collaboration.

AI: Knowledge of ai and ml techniques and their applications in various domains like statistical modeling, decision making, and predictive models.

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