Samyak Rokade
Hi there! Hope you're doing well. I’m thrilled to have you here. This is a space where I showcase my work as a Software Development Engineer, highlighting my skills, projects, and passion for creating innovative solutions. Feel free to explore, learn more about what I do, and connect with me. Whether you’re here to provide feedback, discuss exciting opportunities, or simply network, I’d love to hear from you. Let’s build something amazing together! Thanks for stopping by!
CV/Resume sjr22000@utdallas.edu
Stocks and Trend Forecasting
Enhanced stock price predictions by integrating sentiment analysis and LSTM models. Skills used: Python, PySpark, TensorFlow, Matplotlib, Seaborn.
Timeline: November 2023
- Increased predictive accuracy by 45% through sentiment integration.
- Leveraged LSTM models for precise stock price forecasting.
- Used Google's News API for real-time article analysis, improving robustness.
Road Traffic Prediction
A predictive model for traffic situations using machine learning algorithms. Skills used: Python, Sklearn, Matplotlib, Seaborn.
Timeline: November 2023 – December 2023
- Custom Gradient Boosting Algorithm achieved 0.98 accuracy.
- Evaluated multiclass metrics with a 97% classification rate for traffic situations.
- Benchmarked against Logistic Regression (0.90 accuracy) and KNN (0.96 accuracy).
GoFlaminGo Search Engine
A high-performance search engine designed for optimal user experience on Microsoft Azure. Skills used: Java, JavaScript, React.js, Spring Boot, CSS, MongoDB.
Timeline: May 2023 – August 2023
- Constructed using React.js, Spring Boot, MongoDB, Java, and JavaScript.
- Designed with UML methodologies and various design patterns.
- Adhered to SDLC principles for efficient development and deployment.
Chatbot for Question Answering
A chatbot answering questions about Lionel Messi's life, developed using Google T5-FLAN architecture. Skills used: Python, PyTorch, NLTK, SpaCy, Transformers.
Timeline: February 2024 – May 2024
- Designed using Google T5-FLAN architecture with a train loss of 0.1 and validation loss of 0.07.
- Expanded dataset from 60 to 3200 by scraping quizzes and employing API-based paraphrasing.
- Achieved Rouge-1: 0.45, Rouge-2: 0.26, Rouge-L: 0.37, Rouge-Lsum: 0.38.
Nidaan Systems Inc
Junior Solution Analyst | Dallas, TX | May 2024 – Present
- Developed, deployed, and maintained customized software solutions for over 10 law firms, enhancing cloud integration for business processes such as Intake, Conflicts, Walls, Terms, and Time management.
- Authored and optimized ETL pipelines, using REST APIs and SQL queries to extract, transform, and streamline data from databases.
- Implemented synchronous and scheduled processes to improve operational efficiency and reduce data processing time by 30%.
Nidaan Systems Inc
Junior Solution Analyst Intern | September 2023 – May 2024
- Engineered over 100 processes leveraging Boomi, Intapp, and REST APIs, streamlining data extraction, transformation, and integration processes to meet client-specific requirements.
- Actively contributed to multidisciplinary teams, integrating diverse technologies and frameworks to create efficient workflows.
- Enhanced system functionality and developed user-friendly forms for clients and partners, resulting in a 25% increase in user satisfaction.
Cogitativum Ventures
Software Developer (Intern) | Mumbai, India | March 2021 - July 2021
Cogitativum Ventures is a fintech startup specializing in business services.
- Assembled real-time stock market data from a data vendor into a database, enabling predictive strategies based on captured data.
- Optimized real-time data capture to prevent buffer overflow, ensuring seamless processing and analysis.
- Contributed to an API that fetched processed data from the database and transmitted it to a mobile application. This API classified the market into bullish, bearish, and neutral categories and provided corresponding strategies to users.
Autumn Labs
Backend Developer (Intern) | Remote (Mumbai, India) | April 2021 - May 2021
Autumn Labs is a startup that develops websites and works on machine learning and computer vision projects.
- Evaluated a corneal analyzer software that measured corneal size, analyzed the data, and generated detailed reports with calculations and observations.
- Designed and implemented the backend for the company’s website, enabling automated generation of certificates for users completing courses offered by the company.
University of Texas at Dallas
Master of Science, Computer Science (Data Science)
Relevant Coursework: Object-oriented analysis and design, Big Data Management and Analysis, Machine Learning.
Timeline: August 2022 – May 2024 | GPA: 3.95/4
University of Mumbai
Bachelor of Engineering, Electronics and Telecommunications
Relevant Coursework: Structured Programming Approach, OOP using Java, Data Compression and Encryption, Digital VLSI Design.
Timeline: August 2018 – May 2022 | GPA: 9.25/10
About Me
Hello! I am Samyak Rokade, a passionate software engineer with a Master’s degree in Computer Science (Data Science) from the University of Texas at Dallas. With a strong foundation in programming and problem-solving, I have honed my skills through academic projects and professional experience, delivering impactful software solutions.
My technical expertise spans programming languages like Python, Java, and C++ and frameworks such as React.js, Spring Boot. I thrive on challenges, be it designing predictive models, integrating cloud-based systems, or optimizing software workflows.
Outside of coding, I enjoy grinding LeetCode problems, learning new technologies, and exploring creative hobbies like music. My goal is to continually grow as a software engineer while contributing to meaningful projects that make a difference.
Based in Dallas, TX | Open to relocation | Open to opportunities that require sponsorship