Machine Learning Software Engineering

Devak Somaraj

Brooklyn, NY ******@***.*** 917-***-**** www.linkedin.com/in/devak-somaraj

EDUCATION

New York University, NY Expected May 2026

Master of Science in Computer Science GPA 3.667

Relevant Courses: Cloud Computing Systems, Machine Learning, Programming Language Birla Institute of Technology & Science - Pilani, UAE July 2024 Bachelor of Technology in Computer Science and Engineering GPA 7.4 KEY SKILLS AND TOOLS

Languages: Python, Java, JavaScript, TypeScript, C, C++, SQL, Shell Scripting, HTML5/CSS Packages & Frameworks: REST, Flask, Django, React, Scikit-Learn, TensorFlow, PyTorch, PySpark Databases: MongoDB, DynamoDB, Elasticsearch

Others: AWS, Docker, Git, Kubernetes, System Architecture, Backend development, Minitab, MATLAB, Power BI, Advanced Excel PROFESSIONAL EXPERIENCE

Rahmath-Tech International Dubai, UAE

Software Consultant/ Software Engineering Intern January 2024 – July 2024

• Automated data retrieval and reporting processes in the Info Hub web application, reducing manual effort by 40%. Enhanced user engagement by 25% through dynamic website designs.

• Designed and implemented dynamic website designs, ensuring a seamless user experience.

• Delivered ERP system optimization solutions, leading to a 20% improvement in operational efficiency and a 15% reduction in downtime.

• Gained hands-on experience in web development, database management, and software engineering best practices. Golden Praxis General Trading LL Dubai, UAE

Data Mining Intern June 2023 - August 2023

• Analyzed e-commerce sales data trends, uncovering insights that boosted product listing efficiency by 30%.

• Streamlined product data extraction and cleaning pipelines, increasing workflow productivity by 25%.

• Supported the optimization of product listings and pricing strategies.

• Utilized data analysis tools and techniques using Python, Excel, SQL to uncover valuable insights. Flamingus Technologies Dubai, UAE

IT Consultant Intern June 2022 - August 2022

• Provided technical support and consultation for cloud-based solutions.

• Gained expertise in AWS, Azure, and Google Cloud, contributing to a 25% reduction in client onboarding time through streamlined workflows.

• Successfully represented the company in a technical challenge event, hosted by Edgecore WiFi and eccCloud, and secured a win.

Market I Dubai, UAE

Data Analyst Intern January 2022

• Conducted market trend analysis, driving a 20% increase in campaign ROI through data-driven recommendations.

• Extracted and cleaned large datasets from various sources.

• Supported the development of marketing campaigns and product strategies. PROJECTS

Multi-LLM Integration Platform, New York University Sept 2024 - Dec 2024

• A highly scalable, cloud-based application designed to interact with multiple Large Language Models (LLMs) simultaneously, catering to a large user base.

• Used AWS lambdas, SQS, EKS, EC2, Cognito, S3, Redis and DynamoDB. NBA Rookie Contract Manager, New York University Sept 2024 - Dec 2024

• Developed a machine learning model predicting contract extensions with 85% accuracy, improving prediction speed by 25% through optimized data preprocessing.

• Implemented various machine learning models and evaluated their performance using industry-standard metrics.

• Analyzed performance using metrics such as ROC-AUC and F1 score, achieving a 10% improvement over baseline models. Photo Album web application, New York University November 2024

• Created a photo album application with natural language search capabilities, reducing user query time by 50% and improving search accuracy by 30%.

• Used Lex, ElasticSearch, and Rekognition to create an intelligent search layer to query photos for people, objects, actions, landmarks and more.

To-Do web application, New York University October 2024

• Created a Flask-based To-Do application, achieving a 35% reduction in response time by implementing Kubernetes rolling updates.

• Deployed the container on a local Kubernetes cluster using Minikube and then deployed it on AWS EKS.

• Explored various Kubernete’s features such as a replication controller, health monitoring and rolling updates. Dining Concierge chatbot, New York University September 2024

• Implemented a serverless, micro-service driven web application to build a chatbot that sends the user restaurant suggestions given a set of preferences that the user provides the chatbot with through conversation.

• Used AWS lambdas, LEX, SQS, SES, Elasticsearch and DynamoDB. Handwritten Digit Recognition, Birla Institute of Technology & Science Sept 2023 - Dec 2023

• Developed a neural network model to recognize handwritten digits using MATLAB.

• Implemented deep learning techniques, including convolutional neural networks (CNNs), to improve accuracy.

• Trained and evaluated the model on the MNIST dataset, achieving high accuracy. Fake News Detection, Birla Institute of Technology & Science Sept 2022 - Dec 2022

• Developed a machine learning model to accurately identify fake news articles using Python and relevant libraries (NLTK, Scikit- learn).

• Utilized various machine learning algorithms (e.g., Logistic Regression, SVM, Random Forest) to classify news articles as real or fake.

• Evaluated model performance using metrics like accuracy, precision, recall, and F1-score. CERTIFICATIONS

Microsoft Power BI Certification, 2024

• Proficient in data analysis, visualization, and reporting using Power BI.

• Skilled in data modeling, DAX, Power Query and advanced Excel. Python Programming Certification, 2023

• Experienced in Python programming, including data manipulation, analysis, and visualization.

• Proficient in libraries like NumPy, Pandas, Matplotlib, and Seaborn. Cloud and Cloud Sales Certification, 2022

• Knowledge of cloud computing concepts, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS).

• Familiar with cloud sales strategies and techniques. CLUB PARTICIPATION & HOBBIES

Poly Programming Club, New York University

• Engaged in weekly practice sessions focused on algorithms, data structures, and problem-solving. New York Machine Learning Club, New York University

• Attended workshops and seminars on machine learning, data science, and AI.

• Collaborated with other members on machine learning projects. Sports

• Participated in various tournaments for basketball and football. Karate, Dubai UAE

• Two-time karate National level champion (2016,2017) F1, Dubai UAE

• Won third place National level in F1 in schools (2014)

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