I am an AI Systems & High-Performance Software Engineer based in Bengaluru, India. My engineering philosophy revolves around breaking through the Memory Bandwidth Wall and latency ceilings by designing hardware-software co-designed architectures, native C++20 acceleration pipelines, and memory-constrained inference runtimes.
- 🎓 Undergraduate Scholar in Computer Science & Engineering at Nitte Meenakshi Institute of Technology (NMIT), Bengaluru.
- ⚡ Low-Level Inference & Edge AI: Designing fused W4A16 GEMM quantization kernels, dynamic PagedAttention subsystems, and sub-100ms TTFT runtimes on consumer NVIDIA hardware.
- 🛰️ Autonomous Geospatial & Radar Intelligence: Author of AEGIS-SEAS — an ultra-fast C++20 sovereign maritime surveillance platform processing Copernicus Sentinel-1 C-Band SAR imagery in under 1.1 seconds.
- 🔒 Formal Verification & Systems Security: Architecting systems that replace brittle CRUD patterns with formally verified DFA state machines and tamper-evident Merkle structures.
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Autonomous Satellite Radar Oil Slick Intelligence & Sovereign Polluter Attribution Platform built in modern C++20 for the Indian EEZ. Features native radiometric calibration, 2D CA-CFAR metallic target extraction, embedded 2-channel U-Net inference on real Sentinel-1 weights, and reverse Lagrangian drift dispersion hindcasting. |
High-throughput, air-gapped local inference engine designed for consumer NVIDIA GPUs. Features group-wise INT4 weight quantization (G=64), uint32 bit-packing, register-level fused dequantization GEMM kernels, 2048-token sliding-window PagedAttention with attention sinks, and live performance telemetry. |
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Production-grade boilerplate starter repository and 8-week incubation cohort syllabus designed to onboard engineering teams for high-tier national hackathons. Includes formal VRAM memory budget calculators, hardware GPU profilers, Pydantic v2 schemas, and strict Git contribution standards. |
Advanced predictive analytics system modeling match outcomes, title races, player synergy, transfer valuations, and club owner strategies across 10,800+ historical EPL matches using calibrated ensemble estimators and interactive visual dashboards. |
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A next-generation enterprise platform replacing error-prone CRUD with formally verified Deterministic Finite Automata (DFA) state machines, cryptographically tamper-evident Merkle audit trees, and zero-knowledge encrypted payroll data structures. |
End-to-End Big Data analytics pipeline predicting student employment probabilities using 5-Fold Stratified Cross-Validation, feature importance attribution, and an interactive Flask deployment dashboard. |
| Domain | Technologies & Tools |
|---|---|
| Low-Level & Systems | |
| AI, Inference & Quantization | |
| Data & Scientific Computing | |
| APIs, Web & Tooling |