• 🔭 Machine Learning & Deep Learning: Building and fine-tuning models for various applications, from natural language processing to computer vision.
• 📊 Data Analysis & Visualization: Extracting meaningful patterns from data and presenting them in a comprehensible manner using cutting-edge tools.
• 🤖 NLP & AI Engineering: Developing intelligent systems and chatbots, enhancing user experiences with voice interactions and interactive queries.
• ⚙️ Big Data Technologies: Utilizing tools like Spark and Hadoop to handle and analyze large datasets efficiently.

Currently, I’m a Machine Learning Engineer/Data Engineer Intern at Northern Lights Post Inc., working on large-scale data processing, content analysis, and ML pipeline optimization. Previously, as an NLP Researcher/AI Engineer Intern at Kintsugi Global, I fine-tuned LLMs, optimized multimodal pipelines, and integrated voice generation technologies. Additionally, I serve as a Teaching Assistant at USC, mentoring students in machine learning concepts and applications.

Summary

Passionate Data Science enthusiast with a proven track record in machine learning, deep learning, and data analysis. Experienced in developing innovative solutions to complex problems across multiple domains. Seeking opportunities to leverage expertise in impactful projects within a dynamic environment.

Education

University of Southern CaliforniaLos Angeles, CA Master of Science in Applied Data Science, GPA: 3.71/4.0 Aug 2023-Present Relevant Coursework: Data Analysis, Data Visualization, Modeling, Debugging, Probability, Statistics, Statistical Testing, Deep Learning, Fine-tuning.

SRM Institute of Science and TechnologyChennai, India Bachelor of Technology in Computer Science, GPA: 4.0/4.0 Relevant Coursework: Data Mining and Analysis, Artificial Intelligence, Advanced Programming Practice.

Work Experience

Northern Lights Post Inc.New York, NY Machine Learning/Data Engineer InternOct 2024-Present

• Led metadata analysis on 9M+ images and 10M+ videos, developing automated pipelines to extract and classify content attributes, enabling efficient content discovery
• Engineered computer vision models for content analysis, leveraging metadata insights to improve feature selection and model performance across image and video processing modules
• Implemented data analysis pipeline identifying key trends for feature selection, improving model performance across two processing modules
• Processed video embeddings using XClip and image embeddings using ResNet-50 to predict content popularity, improving classification accuracy by 20% through data-driven ranking models.

University of Southern California Los Angeles, CA Teaching Assistant (Course Producer) Jan 2024-Present

• Earned the Teaching Assistant role by ranking among the Top 5 students in DSCI 552 Machine Learning for Data Science.
• Provided personalized guidance and clarification to students, ensuring their success in completing Data Science tasks effectively
• Offered assistance and clarification to 750+ students, ensuring their comprehension and success in completing Data Science tasks

Keck School of Medicine, USC Los Angeles, CA Research Assistant Nov 2023-Present

• Led research endeavors aimed at enhancing medical image classification algorithms, resulting in heightened diagnostic precision. Utilized quantization techniques to decrease model parameters and enhance computational efficiency by 15%.
• Implemented a novel data preprocessing approach to mitigate data imbalance and enhance model robustness, leading to superior classification performance and a boosted weighted accuracy of 10%
• Applied cutting-edge deep learning methodologies to optimize feature extraction and classification processes, thereby improving interpretability and efficiency of medical imaging systems.

Kintsugi Global Inc. Los Angeles, CA NLP Researcher/AI EngineerMay 2024-September 2024

• Custom-trained large language models (LLMs) using PyTorch to develop a chatbot that provides information about anime characters and stories, enhancing user engagement by enabling interactive queries related to anime
• Integrated voice generation models to create anime-based voices, enhancing user experience with voice interactions
• Addressed the challenges in optimizing the speed of text-to-speech conversion, ensuring seamless and efficient interaction between the chatbot and the anime avatar

Siksti Technologies Bengaluru, India Machine Learning EngineerJan 2023-Sept 2023

• Leveraged Machine Learning techniques to identify sales trends, enabling data-driven decision-making and contributing to a 10% increase in revenue
• Engineered and implemented innovative backend solutions using Django and PostgreSQL, resulting in an 80% enhancement in efficiency for catalog and inventory upload processes
• Boosted API response time by 66% through the application of performance optimization techniques, significantly improving user experience

Infigon FuturesMumbai, India Data Scientist Jun 2022-Nov 2022

• Managed and Analyzed the workflow of the Python Developer Team on the Projects and led 3 different teams of new interns
• Implemented my very own Resume-Parser Module using NLP, Data-extracting, and College recommendation system
• Analyzed and optimized workflows, enhancing project delivery and team efficiency

Python DeveloperApr 2022-May 2022

• Worked on College Prediction Module, Scraped data for the same of more than 200+ colleges
• Created A Welcome Email Module for new users and a WhatsApp Automator for automating messages
• Developed and tested APIs using Flask and Postman, ensuring smooth app functionality

Sixth ConsultancyChennai, India Data ScientistJan 2022-Mar 2022

• Developed a Python script to manage real-time stock market data streams, with automated reviews conducted every minute
• Engineered a dynamic script to capture and store real-time company data from APIs, enhancing efficiency
• Conducted extensive testing and validation across diverse companies listed in BSE and NSE

Publications

Deep learning-based detection and segmentation of osseous metastatic prostate cancer lesions on computed tomography [link] (Oct 2023-Jan 2025)

• we developed and evaluated deep learning models to automate lesion detection and segmentation in CT scans, aiming to enhance precision and efficiency in oncology imaging. Our findings demonstrate the potential of AI-driven automation in improving metastatic lesion detection, paving the way for enhanced clinical decision-making and patient care.

Predicting Agricultural Yield by Integrating Remote Sensing [link] (Jan 2023-May 2023)

• Developed an ML model for Punjab crop yield prediction by leveraging 17 years of weather, soil, and NDVI data, incorporating statistical methods, ML algorithms, and real-world validation. Integrated findings into the research publication in ICoISS (June. 2023) to improve the accuracy of yield predictions.

Research work: Blockchain-based Food Supply Chain [link] (Aug 2021-Nov 2021)

• Developed a robust double blockchain framework to enhance transparency, traceability, and trust in the agricultural supply chain. Conducted comprehensive research on blockchain technology's application in the food supply chain, resulting in a publication in Procedia Computer Science (Jan. 2022)

Skills and Interests

• Languages: Python, R, Java, C++, MATLAB
• Frameworks/Libraries: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, CatBoost, Pandas, NumPy, SpaCy, Tesseract, Statsmodels, Matplotlib, Seaborn, BeautifulSoup, Selenium, Django, Flask, Docker, HuggingFace, LangChain, MLFlow, OpenCV
• Databases and Cloud: SQL, PostgreSQL, NoSQL, JSON, XML, Firebase, AWS[EC2, S3, Sagemaker, Lambda, RDS], Azure
• Big Data Tools and Technologies: Spark, Hadoop, Tableau, Power BI, Kafka, Apache Airflow, JIRA, Redis, Excel

Leadership and Involvement

GRIDS, USCLos Angeles, CA Tech Team Board MemberAug 2023-Present

• Demonstrated strong leadership by organizing and leading hackathons, workshops, and team projects, showcasing effective project management skills and fostering a collaborative environment for skill development
• Provided mentorship to junior club members, facilitating their growth in machine learning, data analysis, and programming, while also emphasizing the importance of teamwork and communication

Aakash Research LabsChennai, India Head of Machine LearningMay 2022-Jun 2023

• Evaluated and guided junior team members, directing them on projects and new technologies
• Uplifted the team's skills and knowledge, contributing to individual and collective growth

Deputy Secretary MemberJun 2021 - May 2022

• Managed and evaluated organizational activities, maintaining an excellent track record
• Organized Tekmux event for class 12 school students in August, showcasing effective leadership

Machine Learning ExecutiveFeb 2021-May 2022

• Developed a Deep Learning model for Digit Recognition, deploying it over Heroku using Flask API
• Created a 3-Layered Neural Network from scratch using NumPy, showcasing strong technical skills
• Collaborated on a Healthcare Project, contributing to impactful research and development

Achievements and Certifications

• Introducing Generative AI with AWS, Udacity
• Top 5 students in DSCI 552 Machine Learning for Data Science Course @USC
• Ranked 3rd in Class Competition for DSCI 553 Foundation of Data Mining Course @USC
• Among Top 5 Teams in a hackathon organized in the field of Computer Vision. Developed a Document Enhancer App specifically designed to enhance and extract information from Government IDs
• Secured 3rd Position for Final Year Project, which was then published in the journal ICIoSS. This project was part of the Dean's Collaborative Project Initiative at SRM Institute of Science and Technology
• Machine Learning by Stanford University, Coursera, and Deep Learning Specialization by DeepLearning.AI, Coursera

Exploring the wonders of nature has always been my passion. From the lush forests to the towering mountains and serene coastlines, there's something truly magical about immersing oneself in the beauty of the natural world. Every journey outdoors brings a sense of wonder and excitement, igniting my curiosity and inspiring me to capture the essence of each moment through photography.