Towards Frequency-Based Explanation for Robust CNN
Rawal V., Wang Z., Yang Y., Shrivastava A.,Ding Z., "Towards Frequency-Based Explanation for Robust CNN"
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Education
- Masters of Science in Machine Learning, Carnegie Mellon University, 2019 - 2020
- Bachelors of Technology (Hons.) in Computer Science, IIT Kharagpur, 2013 - 2017
Work Experience
- Mar 2025 - Present: SDE 2
- Amazon, Seattle, WA
- Ads Permission Delegation Platform: End-to-end full-stack features across backend services, APIs, React frontend, and CDK infrastructure (~18 packages)
- Batch APIs & Access Control: Architected batch ADD/DELETE APIs with CloudWatch-backed metrics and policy-based access control
- KPI Widget Platform: Built micro-frontend KPI visualization widget using React and Webpack Module Federation with CDN delivery and i18n support
- Dec 2024 - Mar 2025: Senior Backend Engineer (Contract)
- Zaytun AI (formerly LIVEr), San Jose, CA
- Recommendation Engine: Vector search-based system using LLM embeddings; migrated from Vertex AI to Qdrant
- iOS Backend: Firebase and Google Cloud backend for scalable content delivery and user engagement
- Jan 2024 - Nov 2024: Consultant & Technical Lead
- HyperWater.ai, Dallas, TX
- Generative AI Integration: LLM + Drools rule engine for automated ITB decision-making workflows
- Agent-Based Document Processing: OCR + LLM-generated decision flows for ITB document automation
- Sep 2023 - Dec 2023: Chief Technical Officer
- CeraMD.ai, Boston, MA
- RAG Medical AI System: Retriever-based system using OpenAI and LLaMA models for real-time medical insights
- Cloud Infrastructure: AWS microservices and serverless architecture for scalable AI operations
- May 2021 - Jul 2023: Software Engineer 2
- Microsoft USA, Bellevue, WA
- Office Excel Charting: Telemetry and dashboard development for data visualization and analysis
- Azure SDN: Network Security Groups on Private Link Connections using SDN Appliance Middlebox
- Jun 2017 - Aug 2019: Senior Software Development Engineer (SDE II)
- Adobe Systems, Noida, India
- Vector Graphics Editing (iPad): Core components of Adobe Illustrator for iPad — Pen, Direct Selection, and Snapping tools
- Adobe Experience Manager (AEM): Full-stack Interactive Communication Applications and Data Integration Services
- May 2016 - Jul 2016: Research Intern
- Adobe Big-Data Experience Lab (BEL), Adobe Research, Bangalore, India
- Channel Propensity Modelling: Multi-channel customer behavior prediction using Canonical Correlation Analysis (CCA)
- May 2015 - Jun 2015: Research Intern
- IBM India Research Laboratory (IRL), New Delhi, India
- Knowledge Graph: Supervised training and blended learning for Knowledge Graph construction using entity-extraction and NLP
Skills
- Languages:
- Programming: Python, C/C++, Java, JavaScript, SQL
- Scripting: React, jQuery, HTML5, CSS
- AI/ML: Generative AI, LLMs, RAG systems, NLP, Computer Vision, TensorFlow, PyTorch, Scikit-learn
- Cloud & Infrastructure: AWS (CDK, CloudWatch, Lambda), Azure, Docker, Kubernetes, Firebase, Google Cloud
- Tools & Practices: Git, CI/CD, Agile, RESTful APIs, Webpack Module Federation, Microservices
Publications
Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach
R. Karmakar, V. Rawal, P. K. Bishoyi, S. Chattopadhyay and S. Chakraborty, "Supporting Throughput Fairness in IEEE 802.11ac Dynamic Bandwidth Channel Access: A Hybrid Approach," 2017 IEEE 42nd Conference on Local Computer Networks (LCN), Singapore, 2017, pp. 462-470, doi: 10.1109/LCN.2017.93.
Awards
Service and Leadership
- 2013 – 2017: Core Member, K.R.A.I.G. (Kharagpur Robotics and Artificial Intelligence Group), IIT Kharagpur
- 2016: Team member, AUV (Autonomous Underwater Vehicle) Group, IIT Kharagpur
- 2017: Team Captain, OPENSOFT 2017, M.S. Hall at IIT Kharagpur
- 2016: Teaching Assistant and Student Mentor, CSE Department, IIT Kharagpur