Experience

Graduate Research Contributor

Secure Systems Lab, New York University

Sep 2025 – Dec 2025 · New York, USA

• Contributed to the development and validation of a secure OS abstraction layer (Lind) using Google Native Client and WebAssembly to enable safe syscall execution for untrusted applications.
• Built comprehensive benchmarking test suites to validate cross-platform security and performance.

Research Assistant

National Institute of Technology Sikkim

Jun 2024 – Jul 2025 · Sikkim, India

• Optimized diagnostic accuracy for Alzheimer’s detection by developing a diagnostic pipeline using CNNs, Transformers, and Transfer Learning on multi-class MRI data; presented at IEEE IATMSI 2025.
• Contributed to the development of a switch-migration load-balancing algorithm for Distributed SDNs, improving resource utilization by 33.6% and reducing load imbalance by 37.3% (COMSNETS 2025).

Software Engineer

Zessta Software Services Pvt Ltd

Jun 2025 – Aug 2025 · Hyderabad, India

• Engineered automated data pipelines that extracted and preprocessed large-scale datasets using Selenium and Pandas, improving data ingestion efficiency by approximately 30%.
• Enhanced application reliability and deployment speed by containerizing services with Docker and Kubernetes, while integrating SonarQube to reduce technical debt and improve code quality.

Data Science Intern

Intellithink Industrial IoT

Jul 2024 – Jul 2025 · Bengaluru, India

• Achieved high-precision Remaining Useful Life (RUL) estimation by developing a hybrid LSTM and Deep Belief Network (DBN) architecture to predict failure trends across NASA Bearing Dataset files.
• Optimized signal processing accuracy and model reliability by engineering an automated Python pipeline to extract 8+ time-domain features and isolate 230–236 Hz failure frequencies (BPFO) via FFT, reducing MAE while tracking vibration spikes from 0.05g to 0.20g.