Aishik Bandyopadhyay — AI Engineer & Data Scientist

Edge Inference Acceleration · Jan 2025 – Present

• → First peer-reviewed YOLOv11 DPU deployment — accepted as full paper at IEEE ISVLSI 2026.
• → 25.77 FPS on ZCU104 (+49% throughput) and 38.81 ms latency (−33%) vs Intel i5-12650H.
• → Collapsed 9 fragmented DPU subgraphs to 1 via operator substitution (SiLU→ReLU, Softmax→HardSigmoid, matmul→element-wise).
• → Demonstrated hand-curated 250-image calibration outperforms random 1300-image sets under INT8 quantisation.

Algorithmic Fairness Auditing Framework · 2024

• → End-to-end framework auditing ML classifiers across disparate impact, statistical parity difference, equalized odds, and Theil index simultaneously.
• → Comparative mitigation framework enabling evidence-grounded intervention selection across pre-, in-, and post-processing stages.

Knowledge-intensive NLP with sub-second latency · 2024

• → Neo4j GraphRAG retrieval combined with Cache-Augmented Generation (CAG) targeting sub-second inference.
• → KV cache persistence via DynamicCache + pickle serialisation; ablated structured vs. flat RAG baselines.