| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
Street Address -907-7634 EMAIL AVAILABLE https://LINKEDIN LINK AVAILABLE GitHub EDUCATIONUniversity at Buffalo, State University of New York Buffalo, NY, USA Master of Science in Robotics Aug Street Address Dec 2023Relevant Courses: Machine Learning, Computer Vision, Deep Learning, Analysis of Algorithms Jaypee Institute of Information Technology Noida, India Bachelor of Technology in Electronics and Communications Engineering Jul 2016 Aug 2020 SKILLSProgramming: Python, C++, Bash, SQL, JAVA, MATLABFrameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, FastAPI, NumPy, Pandas, Matplotlib Tools & Platforms: CUDA, Google Cloud Platform (GCP), Docker, Linux, Git, VertexAI AI/ML Techniques: Natural Language Processing (NLP), Convolutional Neural Networks (CNN), Large Language Models (LLMs), Generative AI, Transfer Learning, Classification, Regression WORK EXPERIENCEArtificial Intelligence Engineer Intern, Radical AI, New York, USA March 2024 - Present Developed ReX, an AI Coach utilizing OpenAI and Google Gemini, to provide personalized career coaching and mentorship, enhancing learner engagement and career development. Integrated Large Language Models (LLMs) to generate custom educational content, resulting in more efficient instructional design and assessment management for educators. Conducted integration testing for AI tools with API requests, ensuring seamless interaction between components and validating request-response functionality. Implemented unit tests for core functions using PyTest. Utilized FastAPI and Docker for local server setup and build testing, identifying and resolving deployment issues. Associate Software Engineer, Accenture, Bengaluru, India March 2021 January 2022 Designed and implemented data models using SAP HANA Studio optimizing database performance and reducing data redundancy. Utilized SQL techniques for data storage, retrieval, and import processes. Conducted performance tuning and optimization techniques, including indexing and query optimization, resulting in faster data retrieval and improvement in system efficiency. Integrated Power BI for data visualization and reporting, creating interactive dashboards and reports. Managed seamless data transfer from development to production environments using Agile methodologies. PROJECTSGemini Quizify: Python, Google Cloud, Vertex AI, OpenAI Gym. Created an AI-powered assessment and quiz tool using Google Cloud, Vertex AI, providing instant feedback. Developed user-friendly interfaces with Streamlit for easy document upload and quiz generation. Implemented document ingestion, data pipeline, and embedding processes using LangChain and Chroma DB. Handwritten Digits Classification Using Neural Networks: Python, PyTorch, Matplotlib. Designed and optimized Convolutional Neural Networks (CNNs) for classifying handwritten digits from the MNIST dataset, achieving 98% accuracy and demonstrating proficiency in deep learning techniques. Compared CNNs and Fully Connected Networks to evaluate trade-offs in model complexity and accuracy. 3D Reconstruction and Point Cloud Analysis for Robotic Perception: Python, OpenCV, NumPy, SciPy. Led a project on Structure-from-Motion and Point Clouds, using vision techniques to create detailed 3D models. Utilized OpenCV for image processing and feature extraction. Implemented k-means clustering and point cloud down-sampling algorithms, displaying proficiency in data analysis. Face detection & face Clustering: Python, OpenCV, NumPy. Implemented face detection using OpenCV and face recognition library, providing bounding boxes for detected faces. Developed Python functions to encode faces and cluster them using the k-means algorithm. Utilized NumPy for efficient data handling and image processing throughout detection and clustering tasks. |
