Tanush Pavan V
Profile
Dual-degree student (B.Tech EEE, Amrita; B.S. Data Science, IIT Madras) focused on hardware-aware edge AI and RTL design/verification. Deployed INT8 vision transformers on AMD Versal (sub-100 ms) at ADRIN / ISRO and designed a 64×64 systolic-array BNN accelerator (374.5 GOP/s, 92.8 GOP/s/W). National finalist, SIH 2025; winner at IEEE GRSS and MunichTech EXPO 2026 hackathons.
Experience & Research
Deployed an INT8-quantized MobileViTv2-XS vision transformer on the AMD Versal VCK190 (Vitis AI / HLS / Vivado) for onboard Earth-observation inference; ran latency/throughput/utilization trade-offs across Versal and Zynq.
sub-100 ms onboard inferenceDesigned and verified a patent-pending 64×64 systolic-array binary neural network accelerator in SystemVerilog for energy-efficient edge inference, with full RTL verification and performance analysis.
374.5 GOP/s · 92.8 GOP/s/W · 10.67× speedupBuilt a production spam/ham text classifier (TF-IDF → Random Forest with a logistic-regression meta-classifier) for high-volume enterprise streams, then re-architected the real-time inference pipeline with batching and vectorized preprocessing.
−13.4% processing latency at scaleSelected Projects
Twelve agents that generate a testbench, run the design against a golden ISS, diff the two commit logs instruction by instruction, analyse coverage, and write new tests aimed at what the campaign hasn't reached. Underneath sits VOE — a frozen kernel where a “verified” claim can't exist without a re-checkable witness, every policy pre-registered in an append-only ledger.
12 agents · most run with no EDA toolchainA patent-pending 64×64 systolic-array binary neural network accelerator, designed and verified in RTL for energy-efficient edge inference.
374.5 GOP/s · 92.8 GOP/s/W · 10.67× speedupSearches 2.7×10⁸ per-layer quant configs with a surrogate-guided planner; matched greedy's 60-evaluation result in ~9 on-device evals. Built for the Arm AI Optimization Challenge.
1.8× faster · time-to-first-token · better perplexityA multi-layer city-grid simulator (day-ahead market, AC power flow, frequency dynamics) that turns a shared community battery into a forecast, confidence-scored Reliability Reserve.
−80% · evening unserved energy, in simulation