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config-manager's Introduction

Software Engineer | Open Source Contributor

Technical Skills

  • Programming Languages: C, C++, Java, Python, JavaScript, Go, MySQL, HTML, CSS
  • Technologies: Node, Express, Spring boot, JUnit, Django, OpenCV, CI/CD, Hbase, Redis, Mongo, Git, Grafana, Lambda Functions, AWS, GCP, Docker

Open Source Contribution Projects

Bloc Bloc

Work Experience

Research Assistant (Mar 2023 - present)

  • Prof. Yaoqing Yang
    • Working on visualizing high-dimensional loss functions
    • Studying the different phases in model learning and understanding relationships between local and global metrics
  • Prof. Sarah Preum
    • Leveraging Large Language Models for custom text extraction and filtering to improve textual data annotation
    • Employing the extracted text to improve downstream text sentiment/stance detection task’s accuracy

Machine Learning Intern @ SymphonyAI (Jul 2023 - Sep 2023)

  • Processed large-scale client company data to ingest in custom large language model
  • Fine-tuned GenerativeAI OpenAI models to build custom Large Language Models(LLM) and respond to specific prompts

Software Development Engineer @ Meesho (Jul 2021 - Aug 2022)

  • Designed and implemented large-scale cross-pod features catering to 20M daily active users
  • Deployed lambda function to serve requests from AWS tg directly reducing the latency of the api by 50%
  • Owned the Meesho product-over-web backend service and improved its structure to make it scalable
  • Developed an internal automation tool to find the respective team POC, saving time for the entire organization

Software Development Intern @ RoadToNaukri (Jun 2020 - Aug 2020)

  • Designed face-recognition module recognizing faces from the documents and live video using OpenCV
  • Developed the preprocessing module for the document-engine which improved text extraction by 20%

Research AND Publication

S. Pandey, Y. Srivastava, Y. Meena and R. K. Dewang, ”CLOTON: A GAN based approach for Clothing Try-On,” 2021 8th International Conference on SPIN, 2021, pp. 595-601, doi:10.1109/SPIN52536.2021.9565973

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