CV
Work Experience
Undergraduate Researcher
PreCog Lab - IIIT Hyderabad
Jan 2025 - Present | Hyderabad, India
- Working on interpretability and machine unlearning in multimodal models.
AI/ML & Data Science Intern
JM Financial Ltd
May 2024 - August 2024 | Mumbai, Maharashtra, India
- Automated and deployed ETL pipelines for BigQuery data processing, enhancing data flow efficiency.
- Developed a customer segmentation model using machine learning, improving precision-recall from 0.81 to 0.87 and accuracy from 83% to 90%.
- Led a project on lead generation prediction and DIY analysis using RNN and Seq2Seq attention models, providing actionable insights for business decision-making.
- Performed end-to-end feature engineering, model development, and testing pipelines.
- Developed and deployed a CRUD persistent storage application to automate marketing workflows, eliminating manual labor.
Head of Logistics and Operations
Plaksha Consulting Club
August 2023 - August 2024
- Managed logistics and operations for multiple projects, ensuring smooth execution and timely delivery.
AI/ML Engineer
Best Automation
July 2023 - September 2023 | Pune/Pimpri-Chinchwad Area
- Reduced processing time by 33% for the Indian Navy, enabling real-time execution with Deep Learning models.
- Led a team of 4, improving operational efficiency and reducing hardware management costs by 20%.
- Assisted in customer acquisition, generating 3+ leads across diverse industries.
Entrepreneur
InfoEdge CFE Plaksha University
April 2023 - June 2023 | Chandigarh, India
- Founded EasyPC, a fully modular laptop venture, as a short-term entrepreneurship project.
Tech Business Development Intern
MetaXP
July 2022 - September 2022
- Reduced employee attrition by 25% annually by implementing AI and a realistic job preview system.
- Saved 28% of incurred hiring costs for institutions, reducing the time per candidate by 2-4 hours.
- Conducted market assessments to craft AI-driven recruitment solutions.
Game Designer
MADIEE Games
January 2022 - June 2022
- Led game ideation and development, employing Reinforcement Learning principles in the design of the trek-12 game.
- Projected to increase employee performance by 15% for targeted client segments through game-based learning simulations.