CV

Education

• B.E. in Electronics and Communication Engineering
  • Thapar Institute of Engineering and Technology, 2019-2023
  • CGPA: 8.62/10

Work experience

• Deloitte USI: Analyst AI & Data [Oct 2023 - Present]
  • Developed a RAG system with LangChain for a consolidated document (removing redundant content across multiple docs using gpt4-32k).
  • Reduced app execution time by over 70% with asynchronous API calls.
  • Created a code conversion workflow to convert ETL Cloud mappings into SQL using LLM’s.
• Samsung SDS: Software Developer Intern [Mar 2023 - Jul 2023]
  • Built a full-stack Inventory management application using Spring Boot and React.
  • Implemented CRUD functionalities using RestAPI.
  • Forecasted inventory stock requirements using time-series techniques.
• Maven AI Technologies: Machine Learning Intern [Jan 2022 - May 2022]
  • Generated unique guitar skins from text prompts using GANs.
  • Worked on QandA Models for resolving generic customer queries.
  • Developed a hybrid model combining background removal and Detectron 2 in single pipeline for damage localization on the car body.
• Government of India: Computer Vision Intern [Aug 2021 - Jan 2022]
  • Led a team to build an Automated UAV tracking and jamming system
  • Created a database of 300k+ IR and RGB images using open-source videos.
  • Yolov5 deployment on NVIDIA Jetson.
• Charles University: NLP Research Intern (Remote) [Jul 2021 - Dec 2021]
  • Transformer Models for hate speech detection on Twitter Data
  • Published Research Paper
  • Supervisor: Dr.Muskaan Singh

Skills

• Programming: Python, C, C++, Javascript, SQL
• Frameworks: Langchain, Hugging Face, Scrapy, BeautifulSoup, Tensorflow 2, Keras, PyTorch, Numpy, Pandas, Scikit, NLTK, Spacy, OpenCV, Flask
• Tools: Git, Docker
• Cloud: Streamlit, Heroku, Netlify

Publications

Classification of Hate, Offensive and Profane content from Tweets using an Ensemble of Deep Contextualized and Domain Specific Representations

Aasha: Transformers based Hope-EDI

An Ensemble Machine Learning Technique for Detection of Abnormalities in Knee Movement Sustainability

Multilevel Deep Learning Model for Fabric Classification and Defect Detection

ResUNet++:a comprehensive improved UNet++ framework for volumetric semantic segmentation of brain tumor MR images

Talks

ML in web apps

June 12, 2022

Talk at Thapar Summer School, CSED, Patiala, India

Time Series Forecasting

July 18, 2022

Talk at Thapar Summer School, CSED, Patiala, India

Extracurriculars

• Hackathons
  • Amazon Hackon Semi-Finalists Amongst the top 20 teams across India.
  • 1st position at Digital Village Hackathon with 30k INR reward.
• Leadership
  • Project Lead at Google Developer Students Club for managing workflows of the open source projects.