Journey
The roles, research, and education that shaped how I work.
Experience
Palo Alto Networks
Technical Marketing Engineer · Prisma AIRS
Working at the intersection of AI, security, and enterprise adoption — bridging deep
technical capability with the real-world needs of customers building on Prisma AIRS.
Portkey
Forward Deployed Engineer · Bengaluru
Partnered directly with enterprise customers of Portkey's LLMOps platform — understanding
their workflows and translating real-world problems into engineering solutions that stuck.
CAI Stack
Software Developer → Senior Software Developer · Bengaluru
Core contributor to a scalable MLOps platform for AI/ML workflow management.
- Designed a Kubernetes cost optimization engine in Golang that simulates autoscaling and reallocates workloads, reducing active nodes by 15–40%.
- Engineered backend services — Admin Approval, Audit Logs, Notifications — using Redis Streams for event-driven architecture.
- Architected a Cost Center Service integrating OpenCost and Prometheus for real-time, pod-level cost tracking.
- Led development of data and workflow modules with FastAPI, SQLAlchemy, and PostgreSQL.
iHub-Data, IIIT Hyderabad
Research Fellow · AI for Healthcare (HAI)
- Proposed an MLP-based model with autoencoder pretraining for Autism Spectrum Disorder classification from rsfMRI scans, achieving 74.82% accuracy on ABIDE-1.
- Developed a patch-based weakly supervised method for brain glioma subtype classification using gigapixel histopathology images.
Indian Statistical Institute, Kolkata
Research Intern
Computer Vision & Pattern Recognition Unit, under Prof. Umapada Pal — worked on
text-independent writer identification using convolutional neural networks.
NIT Durgapur
Research Intern
Computer Science & Engineering department, under Prof. Debashis Nandi — worked on a
lightweight deep learning framework for multiple sclerosis lesion segmentation.
Education
IIIT Hyderabad
MS Computer Science · 8.9 CGPA
NIT Durgapur
B.Tech Information Technology · 8.68 CGPA
Publication
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder