Meghana Reddy Nalla +* (***) ***-GitHub **** meghanareddynalla1809@ 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 Skills

Programming 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. Education

Rowan 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 Experience

Freelance 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.

Projects

Course 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 model

Harry 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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