Vijay Chilaka

Vijay Chilaka

$30/hr
Masters Student
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Location:
Sunnyvale, California, United States
Experience:
1 year
. . Vijay Chilaka Sunnyvale, California, United States -- in/vijay-chilaka-2123ab192 SUMMARY NLP and AI specialist with expertise in advanced NLP, Generative AI, and multi-modal projects, ready to drive impactful solutions in cutting-edge AI. EDUCATION Masters in Natural Language Processing 2022 - 2023 University Of California SantaCruz • Santa cruz • 3.18/4.00 Bachelors in Computer science and engineering 2017 - 2021 Indian Institute of Technology, Tirupati • India • 7.15/10.00 PUBLICATION A Platform for Large Scale Auto Annotation of Scanned Documents Featuring Real-Time Model Building and Model Pooling 6th International Conference on Computer Vision and Image Processing(CVIP 2021) • Komuravelli Prashanth , Boyalakuntla Kowndinya, Chilaka Vijay, et. al. EXPERIENCE PROMPT ENGINEER (Domain Experts) February 2024 - Present Outlier(Dolphin) • Applied advanced NLP techniques at Outlier (Scale AI) to enhance Generative AI models for factuality and context. • Integrated theoretical knowledge with practical experience to train and evaluate Generative AI models, deepening expertise in NLP. • Enhanced multi-modal AI models through image-to-text, audio-to-text, and video-to-text projects, improving accuracy and contextual understanding. Enriching Prompts for Text-to-Image Generation using Reinforcement Learning July 2023 - December 2023 University Of California,Santa Cruz • Integrated reinforcement learning with few-shot language models to optimize temperatures for improved text-to-image generation. • Employed Llama-2-7b model for prompt enrichment in text-to-image generation. • Implemented fine-tuned iterations and semantic evaluation metrics to guarantee high-quality and relevant enriched prompts. • Applied PEFT with Prefix-Tuning on 560M BLOOMZ model for prompt enrichment, enhancing training efficiency and performance. Worked on a web-based project called "Annotator" under professor Dr.Kalidas Yeturu August 2020 - June 2021 IIT tirupati • Developed a web platform for personalized auto-annotations, flexible model creation, and programmatic document annotation. • Leveraged LabelMe for manual annotations and employed MongoDB as a robust database solution. • Built a responsive front end for the Annotator platform using HTML5, CSS, and Javascript, reducing bounce rates by 20%. PROJECTS Build a Large Language Model based Application - BRIEFLY July 2023 - July 2023 • Conceptualized and executed a project addressing information overload within the academic and research community. • Integrated AI technologies (GPT and DALL-E APIs) for concise summaries and relevant images in research. • Designed a cross-platform research article access app, incorporating ethical AI practices for transparency. Developing Virtual machine September 2020 - November 2020 • Developed a Virtual Machine to transform VM code files into MIPS assembly language code files. • Enhanced the virtual machine's performance through the implementation of a stack-based architecture. • Using C++, implemented the parser and code writer components of a virtual machine and tested the virtual machine with the test files. Build a Game-LSER (Learning software engineering through racing) February 2020 - March 2020 • Developed an interactive game designed to facilitate student learning and revision of fundamental software engineering concepts. • Implemented game logic, including time and score calculations and object movement, using JavaScript in Unity3D. • Produced game animations through Unity's user interface. Mobile Application that can help find plant diseases August 2019 - November 2019 • Developed an app that takes photos of diseased leaves and provides users with information on the disease and treatment. • Enhanced disease detection by 25% across all categories through training a Convolutional Neural Network using Google Firebase. • Achieved a remarkable 95% accuracy rate in plant disease detection, coupled with a low false positive rate of 3%. COURSEWORK Natural Language Processing, Data Science , Machine Learning, Machine Translation, Conversational Agents SKILLS Python,Pytorch, C, C++, HTML, CSS, JavaScript, Unity3D, Android Studio, Pycharm, Visual Studio,Jupyter Note book,Cisco packet tracer, Wireshark, Natural Language Processing, Javascript, Frameworks, Mongodb, Nodejs, Eclipse Ide, google collab, Machine learning.
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