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Yogesh Sharma7922

unit price: 37.00 CNY ≈ 5.14USD
in stock: 231
seller: Yogesh Sharma7922 , ID 117236


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**Yogesh Sharma**
(929) 454-8191
yogesh.sharma7922@gmail.com
LinkedIn | GitHub

### EDUCATION
**New York University**
Sep 2022 – May 2024
Master of Science in Computer Engineering, GPA: 3.85/4.00
*Coursework:* Data Structures & Algorithms, Internet Architecture & Protocols, Network Security, Database Systems, Big Data, Machine Learning, Deep Learning, Python Programming, Cryptography

**Delhi Technological University**
Aug 2015 – May 2019
Bachelor of Technology, GPA: 3.3/4.0

### SKILLS
**Programming Languages:** C++, Python, Java, JavaScript, HTML5, CSS3
**Frameworks & Libraries:** Django, Spring Boot, Node.js, React.js, Spring, Redux, Express.js, Material UI, Scrapy, Selenium, PyTorch, TensorFlow, OpenCV
**Tools & Platforms:** Linux, Docker, Kafka, Postman, Jenkins, AWS, RabbitMQ, Git, GitHub, JUnit, VS Code, IntelliJ, Eclipse, PySpark, HDFS
**Methodologies & Practices:** OOP, Cloud Computing, Unit/Functional Testing, Automation Frameworks, Microservices, Agile Scrum, CI/CD Pipelines
**Databases & Storage:** SQL, PostgreSQL, Oracle, NoSQL, MongoDB, CosmosDB, Hive, Cassandra

### WORK EXPERIENCE
**New York University**
Sep 2023 – Present
*Graduate Assistant*
- Leveraged Python and PyTorch in lab sessions, enhancing Deep Learning skills for 250+ students, increasing hands-on proficiency by 40%.
- Guided students in Computer Vision projects using OpenCV and PyTorch, improving practical application of concepts.
- Utilized Jupyter Notebooks for interactive Deep Learning lectures with real-world examples.
- Managed a Kaggle competition in NLP and Transformers, boosting student engagement.

**Neuron Square**
Nov 2021 – July 2022
*Software Engineer*
- Developed Python web scrapers using Scrapy and Selenium, improving data extraction accuracy and coverage.
- Optimized scrapers for 40% faster data retrieval using Docker and reverse engineering.
- Built Django-based REST APIs for efficient data management with PostgreSQL integration.
- Leveraged AWS (EC2, S3, Lambda) for scalable hosting and serverless processing.

**Pixaflip Technologies**
Apr 2020 – Oct 2021
*Software Developer Engineer*
- Engineered a credit risk model with Python and Django, reducing NPA by 25% and increasing market penetration by 30%.
- Integrated Paytm, Equifax, and Zerodha APIs, reducing manual efforts by 25%.
- Optimized MySQL and MongoDB databases, cutting response times by 30%.
- Deployed scalable solutions using AWS and Docker, improving CI/CD with Jenkins.

**Infosys Ltd**
Oct 2019 – Feb 2020
*System Engineer*
- Designed scalable applications with Spring Boot and React.js, supporting millions of users.
- Built high-performance APIs using Java and advanced programming techniques.
- Applied Log4j and JUnit for logging/testing, improving codebase reliability.
- Optimized build processes with Maven, reducing build time by 18%.

### PROJECTS
**Bandwidth Monitor** ([Link](link))
- Real-time network monitor using Python, Sockets, and Threading.

**Upwork Bot** ([Link](link))
- Automated job filtering/notification via Telegram bot using Python, Selenium, Scrapy, and Redis.

**YouTube Transcript Summarizer** ([Link](link))
- Chrome extension for NLP-driven summarization with Hugging Face Transformers and Flask.

**Multi-Room Chat Application** ([Link](link))
- Interactive platform with Node.js, Socket.IO, MongoDB, and Express.

**Uformer Model Enhancement** ([Link](link))
- Optimized image restoration model using PyTorch and CNN techniques.

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