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Node Js React Resume Pitman, NJ
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Title Node Js React
Target Location US-NJ-Pitman
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Candidate's Name 1809@ LinkedIn Portfolio gmail.com Summary Explored the world of software engineering and web development. Delved into web technologies, mastering React.js, Node.js, and Express.js. Embraced Data Engineering, gaining experience in extraction, processing, and analysis. Utilized a diverse tech stack, including AWS, Docker, MongoDB, MySQL, Git, and basic DevOps. Recently ventured into Natural Language Processing (NLP) and Prompt Engineering for exciting possibilities. Technical SkillsProgramming Languages: Python3, HTML, CSS, Javascript, PL/SQL, SQL. Libraries/Framework: React.js, Express.js, Flask, Next.js, Node.js, HTML5, CSS3, Langchain, Huggingface, Streamlit, PyTorch, Spacy, NLTK, NumPy, pandas, TensorFlow.Cloud: AWS - EC2, S3, RDS, DynamoDB, AWS Glue, AWS Athena, AWS QuickSight, Aws codecommit. Big Data Technologies: Hadoop, spark, Kafka, Airflow, Snowflake, BigQuery, ETL processes and data integration. Database: MySQL, SQLite, MongoDB, Firebase, Vector databases. DevOps Tools: Docker, Podman, Kubernetes, Ansible, Selenium, Telemetry, Jenkins, GitHub, GitLab. IDEs: VSCode, Jupiter Notebook, PyCharm, Intellij, Eclipse, Google Colab. EducationRowan University - Glassboro, New Jersey (2022  2023) Masters in Computer Science GPA 3.8/4 Kakatiya Institute of Technology and Science - India (2016  2020) Bachelors in Electronics and Instrumentation GPA 3.4/4 Work ExperienceFreelance AI Coder Remotasks, USA Febraury 2024 Present Freelancing as an AI coder, specializing in creative prompt development and response analysis. Crafted intricate prompts for chatbots, ensuring engagement and complexity. Conducted comprehensive assessments of chatbot responses, emphasizing accuracy, code execution, and unbiased outcomes. Ensured high linguistic quality by evaluating response formatting and grammar. Collaborated in a remote environment, actively participating in peer reviews, and providing constructive feedback. Reviewed and enhanced prompts and response analyses conducted by team members. SOFTWARE DEVELOPER Nspark LLC, USA November 2023 August 2024 Developed user-friendly interfaces using React to elevate the overall user experience. Utilized Node.js and Express.js to conduct a robust backend, seamlessly connecting with AWS RDS for efficient data operations. Demonstrated expertise in creating and managing RESTful APIs, facilitating seamless communication between frontend and backend systems. Conducted comprehensive API testing with Postman, ensuring reliability and optimal functionality. Orchestrated AWS deployments for smooth integration, contributing to the synergy between frontend and backend systems. SYSTEMS ENGINEER Infosys Limited, India May 2021 August 2022 Navigated the intricacies of Kafka, Hadoop, and Spark in a quest to master real-time data extraction, bringing dexterity to the handling of large datasets. Wielded Python, SQL, Apache Airflow, and an arsenal of AWS tools such as S3, Glue, and Lambda to craft a seamless pipeline, transforming raw data into refined, usable insights with finesse. Unleashed analytical prowess using Python, Pandas, Spark, and AWS analytics tools like Athena and QuickSight, unraveling valuable insights that empowered data-driven decision-making. Transcended data complexities by creatively translating intricate analyses into visually appealing charts, elevating the front-end experience for users.ProjectsCourse Recommendation System with chat-GPT and Machine Learning Tech: OpenAI API, Flask, SQLite, Python, NLTK Implemented a chat-based interface using GPT-3 for user interaction and a machine learning model to provide personalized course recommendations.OpenAI DALL-E clone Tech: OpenAI API, Mern stack, Tailwind CSS, Cloudinary. Developed DALL-E clone, an AI image generation system by integrating the ChatGPT API to generate image from descriptions and utilize Cloudinary to store the generated images, storing their URLs in MongoDB for easy retrieval. RecipeMaker - From Youtube cooking video URL Tech: Whisper, Pytube, OpenAI API, and Streamlit. Leveraging PyTube, the application extracts video and audio content from a YouTube video URL, and subsequently utilizes OpenAI's Whisper for audio processing to generate a transcript. Finally, the recipe is crafted with the assistance of OpenAI's text- davinci-003 modelHarry Potter Style Text Generation Tech: Python3, NLTK (Natural Language Toolkit), NumPy, TensorFlow. Executed a comprehensive project leveraging NLP and machine learning to analyze the writing style of Harry Potter books. Through parameter tuning, increased model accuracy by 10% and successfully generated text in J.K. Rowling's distinctive style using NLTK and TensorFlow.

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