Jul 2024 – Aug 2024 · 1 mo · Remote

• As a new trainee at the Amazon ML Summer School, my experience has been incredibly enriching. The lectures by Amazon experts are insightful, covering advanced ML topics. Hands-on projects challenge me to apply what I learn, fostering practical skills. The mentorship provided is invaluable, guiding me through complex concepts. Networking with peers and professionals has broadened my perspective, making this an unforgettable journey in the world of machine learning.

Apr 2024 – Aug 2024 · 4 mos · Chennai · Remote

• At Rakumura IT Solutions, I have been instrumental in developing a comprehensive stock market analysis tool. This advanced tool leverages over 70 different indicators to compare and identify the best stocks for investment, offering robust and insightful analysis to investors. My key contributions and responsibilities include:
• 1. Stock Market Analysis Tool Development:
• Designed and implemented a sophisticated tool incorporating more than 70 financial indicators.
• Enabled detailed comparison and evaluation of stocks to aid in informed investment decisions.
• 2. Deep Learning Algorithms for Stock Prediction:
• Developed and deployed over 5 deep learning algorithms tailored for predicting stock prices.
• These algorithms cater to various time intervals and are optimized for different stocks, enhancing predictive accuracy and reliability.
• 3. Web Development for Workflow Automation:
• Currently engaged in creating a website for workflow automation.
• Utilizing technologies such as Node.js, Django, and FastAPI to streamline and automate business processes.
• Focused on delivering efficient, scalable, and user-friendly web solutions that enhance operational productivity.
• Through these initiatives, I have demonstrated a strong proficiency in both financial analysis and software development, contributing to the creation of innovative solutions that meet the evolving needs of our clients. My work has consistently focused on leveraging cutting-edge technologies to drive business growth and efficiency. #ComputationalFinance #DeepFinance #WorkflowAutomation

Oct 2023 – Mar 2024 · 5 mos · Remote · Remote

• 1. Scoremine App Enhancement:
• Rectified major issues in the Scoremine sports app, focusing on schedule accuracy and functionality improvement.
• Implemented a PDF generation feature based on tournament style and player availability using Flutter and Dart.
• 2. Transition to AI/ML Project:
• Shifted to the company's debut AI/ML initiative.
• Pioneered the development of a Deep Learning model for comprehensive badminton match analysis.
• 3. Innovative AI/ML Contributions:
• Spearheaded the company's inaugural AI/ML project, creating a Deep Learning model for holistic badminton match analysis.
• Extracted insights like total match points, player-specific scores, shot types, rally lengths, shot counts, and identified player strengths and weaknesses.
• 4. Strategic Player Improvement:
• Provided personalized strategies for player enhancement based on AI/ML findings.
• Contributed to elevating player performance through tailored recommendations.
• 5. Pioneering Role:
• Functioned as the first member of the AI/ML project, establishing a foundation for future developments.
• Played a vital role in positioning the company in the field of artificial intelligence and machine learning.
• These accomplishments showcase my proficiency in resolving complex app issues, transitioning to pioneering AI/ML projects, and delivering innovative solutions. Excited about contributing to future projects that leverage cutting-edge technology! #AI #MachineLearning #SportsTech

Mar 2023 – Apr 2023 · 1 mo · Remote

• Collaborated with the Department of Science and Technology, Government of India, as an intern, contributing to a significant project led by a PhD student.
• 1. Project Overview:
• Worked closely with a PhD student on a cutting-edge initiative involving computer vision for scientific experimentation.
• Project focused on devising a computer vision system to calculate viscosity using data derived from Stokes Law experiments.
• 2. Technical Contributions:
• Leveraged Python and OpenCV to develop the computer vision algorithms essential for video analysis.
• Integrated neural networks to enhance the accuracy and efficiency of viscosity calculations.
• 3. Key Achievements:
• Successfully aided in the creation of a robust computer vision system capable of extracting valuable data from Stokes Law experiment videos.
• Implemented Python and OpenCV solutions to automate and streamline the viscosity calculation process.
• Applied neural networks to optimize and refine the accuracy of viscosity predictions.
• 4. Collaborative Learning:
• Engaged in a collaborative learning environment, working closely with a PhD student and contributing to a real-world research project.
• Gained hands-on experience in applying computer vision techniques and neural networks to solve complex scientific challenges.
• 5. Impact:
• Contributed significantly to advancing the project's goals, providing valuable support in implementing state-of-the-art technology for viscosity calculations.
• Strengthened skills in Python, OpenCV, and neural networks through practical application in a research-oriented setting.
• This internship provided an enriching experience in the intersection of computer vision and scientific experimentation, cultivating a deeper understanding of the practical applications of technology in a research context. Eager to apply these skills and insights to future challenges in the field. #ComputerVision #Python #OpenCV #NeuralNetworks #ResearchInternship #ScienceAndTechnology