- 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
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%
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