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Dallas, Texas, Street Address ; PHONE NUMBER AVAILABLE; EMAIL AVAILABLEhttps://LINKEDIN LINK AVAILABLE, https://github.com/ashwin-srdy, https://ashwin-srdy.github.io/ EDUCATIONThe University of Texas at Dallas Richardson, TXMaster of Science, Information Technology and Management, GPA 3.58 May 2025 Achievements: Deans Excellence Scholarship Recipient Organizations: Graduate Student Assembly Student Representative Coursework: Database Foundations for Business Analytics, Advanced Statistics, Business Data Warehousing, Data Visualization Institute of Aeronautical Engineering Hyderabad, India Bachelor of Technology, Computer Science and Engineering, GPA 3.5 July 2023 Achievements: 2022 Interdisciplinary project expo winner, Secured seed funding for 2 startup initiatives Organizations: Entrepreneurship Cell Mentor, e-Designing and Marketing ML head, TEDxIARE Coursework: Machine Learning, Artificial Intelligence, Data Structures, Data Warehousing & Data mining, Big Data & Business Analytics PROFESSIONAL EXPERIENCESpotflock Technologies - Data Science Intern Hyderabad, India May 2023 September 2023 Developed LLM application (hugging face models, GPT-3.5, langchain) and NLP techniques for note generation, sentiment analysis, and synthetic data generation. Optimized SQL stored procedures to achieve 30% faster data access. Implemented Python-based web scraping with Beautiful Soup and Selenium, reducing data collection time by 2 hours. Optimized data exchange by 25%, employing Flask and FastAPI to construct robust APIs, and deployed using Docker. The SmartBridge - Machine Learning Intern Hyderabad, India February 2023 June 2023 Drove a 20% increase in course sales by developing and implementing time series models (Scikitlearn, Neural Networks, Facebook Prophet) and crafting interactive Tableau dashboards for data-driven decision-making. Participated in business requirements review meetings and built the models for client projects and developing products along with visualizations using Tableau as per approved design which improved the business profit by 30%. Mentored over 80 machine learning enthusiasts, providing in-depth training on Python, SQL, and advanced machine learning techniques including ensemble methods and deep learning frameworks (tensorflow, keras, CUDA DL). Spatialhawk Geoinformatics Pvt Ltd - Data Science Intern Hyderabad, India March 2022 May 2022 Developed a high-performance biometric attendance system using advanced biometrics algorithms (OpenCV, SQL, Python, MTCNN, FaceNet, and support vector clustering), leading to a 50% boost in performance while addressing data security. Created data processing pipelines for geospatial images. Slashed models deployment time by 30% using AWS codepipeline, Python, and Jenkins. Created a crowd counting tool for drone images using CSRNet Keras with 89% accuracy. Digx Tech Solutions - Data Analyst Intern Hyderabad, India December 2021 June 2022 Automated Excel macros to reduce manual data entry time by 40%, improving productivity and accuracy. Streamlined real-time data visualization by integrating SQL databases with PowerBI, increasing client satisfaction. Optimized database performance and supported analytics with SQL, enhancing data processing efficiency by 20%. PROJECTSAtrial Fibrillation Detection, Flipr Hackathon XIII, Winner Created a dashboard using Tableau to identify trends among Atrial Fibrillation patients, revealing key predictors of AFib episodes. Trained random forest and extra trees regression models to detect Atrial Fibrillation with a 95% accuracy using CuDA ML for GPU acceleration, boosting efficiency by 400%, cutting training time from 13 hours to 13 minutes. Implemented AWS pipeline for data cleaning and model deployment, reducing deployment time by 83% from 6 hours to 1 hour. Neo Legal AI, Spotflock Technologies Developed "LegalGPT," a specialized LLM based on GPT-3.5 Turbo, utilizing Langchain and custom prompts to provide legal assistance and information derived from the Indian Constitution. Designed and implemented custom prompt engineering techniques to optimize the model's understanding and generation of legal content, achieving a response accuracy of 90% in benchmark tests. Aqua Sight, Spatialhawk Geoinformatics Pvt Ltd Trained a UNet architecture based image segmentation model for water body detection using large-scale satellite imagery dataset, with 87% accuracy, deployed as an API on AWS EC2. Golf Swing Pose Estimator and Improvement Advisor Trained a UNet architecture based image segmentation model for water body detection using large-scale satellite imagery dataset, with 87% accuracy, deployed as an API on AWS EC2. Facilitated a 20% improvement in golfers swing accuracy after consistent use of the pose estimator over a four-week period. Integrated an API that supports seamless data exchange between the pose estimator and user applications. SKILLSTools and Programming: Tableau, PowerBI, R- Studio, MS Excel, Git, Github, SQL, R, Python, C, C++, Java, HTML, CSS, Python Key Skills and competencies: Statistical Data Analysis and Modeling, Natural Language Processing (NLP), Data Mining, Database Management, Time Series Analysis, Predictive Modeling, Machine Learning (scikit-learn, CuML), Deep Learning (Keras, TensorFlow, CuDL), Data Visualization (Matplotlib, Seaborn, ggplot2), Model Deployment (AWS, Flask, FastAPI, MLflow, Streamlit), Large Language Models (Hugging Face, OpenAI, Langchain), Data Annotation (LabelImg, Roboflow) |
