Work Experience

Key Responsibilities

• Engineered a unified simulation platform to dramatically simplify and accelerate performance analysis for any RISC-V workload, including bare-metal, Linux, and standard benchmarks (Embench, Dhrystone).
• Slashed project setup time by over 95% (from 1+ hour to minutes) by creating a containerized (Docker) environment with a pre-built toolchain.
• Boosted core analysis performance by 2.7x, enabling the generation of critical simulation data (Basic Block Vectors) significantly faster than traditional methods.

Technologies Used

Key Responsibilities

• A Framework for Real-Time Video Encryption Using a Coherent One-Way Quantum Key Distribution System.
• End-to-End Simulation of the Coherent One-Way QKD System with Active Eavesdropping Detection and Real-Time Application.

Technologies Used

Key Responsibilities

• Collaborated with Dr. Manu Mehta (IIRS) on a research paper abstract for URSI RCRS Conference.
• Implemented data extraction and visualization using Python (Pandas, IMDlib, Seaborn) to analyze large-scale meteorological datasets.
• Studied the impact of particulate matter (PM2.5) and heat index during El-Nina Period over Delhi, UP.

Technologies Used

Key Responsibilities

• Co-authored a research paper titled "Identifying Disaster-Related Tweets Using Natural Language Processing and Core Machine Learning Algorithms".
• Presented and published at Springer 6th International Conference on Artificial Intelligence and Speech Technology 2024.
• Built an ML model achieving 82% accuracy in classifying disaster-related tweets, leveraging NLP (tokenization,stemming, TF-IDF) to support crisis management efforts

Technologies Used