Curriculum Vitae
Education
- B. Tech in CSE, D. Y. Patil International University, 2021 - 2025
Research Experience
- Research Intern
- CISPA Helmholtz Center for Information Security, Saarbrücken, Germany / Jun 2024 - Present
- Topic of Research: Auditing Differentially Private Diffusion Models [Current Project]
- Building auditing mechanisms to evaluate privacy strictness of state-of-the-art Diffusion Models.
- Finetuning and evaluating Diffusion models by implementing various DPSGDs algorithms and comparing it with our own DPSGD implementation.
- Topic of Research: Privacy Preserving Generation with Large Language Models [Previous Project]
- Researching on Private Large Language Models using various Differential Privacy Frameworks.
- Analyzing several pretraining / fine-tuning methods and model behavior in various downstream tasks.
- Fine-tuning text, vision, and multimodals with PEFT methods and enabling DP for Privacy Preserving PEFT methods.
- Research Assistant
- Indian School of Business, Hyderabad, India / Sept 2024 - Jan 2025
- Creating a tailored NLP pipeline with OCR, Text Classification and Token Classification models leveraging Open LLMs.
- Developing internal classifier pipelines leveraging state-of-the-art instruct LLMs.
- Fine-tuning Instruct models on highly curated synthetic dataset designed for identifying Communal violence news articles and generating consistent JSON output.
- Research Assistant
- Indian School of Business, Hyderabad, India / Aug 2023 - Jan 2024
- Fine-tuning and inferencing classifier models exceeding 95% accuracy, demonstrating strong data analysis and modeling skills.
- Fine-tuning large transformer models to improve precision, reliability, and efficiency.
- Creating transformer models daily for sequence classification, generation, and token classification.
- Developing custom NER solutions to optimize data extraction and retrieval.
- Proficiently working with Big Data to analyze patterns and successfully implemented developed models,contributing to data-driven insights and decision-making.
- Research Intern
- National Institute of Technology Patna (NITP), Patna / Jun 2022 - Aug 2022
- Topic of research: Agile motion of quadrupedal locomotion using Quad-SDK.
- Fine-tuning and inferencing classifier models exceeding 95% accuracy, demonstrating strong data analysis and modeling skills.
- Fine-tuning large transformer models to improve precision, reliability, and efficiency.
- Creating transformer models daily for sequence classification, generation, and token classification.
- Developing custom NER solutions to optimize data extraction and retrieval.
- Proficiently working with Big Data to analyze patterns and successfully implemented developed models,contributing to data-driven insights and decision-making.
Professional Experience
- AWS & Machine Learning Intern
- F13 Technologies, New Delhi, India / Mar 2023 - Jun 2023
- Worked with AWS EC2, EBS, and S3 to host and develop websites.
- Successfully migrated Non-AWS web applications to the AWS infrastructure.
- Developed a sophisticated Content Recommendation system using AWS Personalize.
- Gained hands-on experience with more than 50 AWS services during the training period.
- Proficient in using tools like the AWS Cost Calculator to optimize cloud resources.
Skills
- Programming
- Python
- C++
- MySQL
- MQL
- Git
- C
- C#
- JavaScript
- R
- ML Frameworks
- Other Tools & Technologies
- Cloud
- AWS
- Azure
- HPC Clusters (SLURM)
- Collaboration & Productivity
- Asana
- ClickUp
- Notion
- Jira
- Miro
- Deepnote
- Additional Design Tools
- Adobe XD
- Figma
- Blender
- Cinema 4D
- Unreal Engine
