I'm a Software Development Engineer at Intel, based in Bangalore, working across system software, performance/thermal optimization, and AI-assisted validation tooling. Outside of Intel, I build small, focused open-source tools β mostly Python CLIs that turn messy real-world data (broker exports, bank statements, system telemetry) into clear, actionable answers.
- ποΈ System Performance: Thermal/power management and CPU-GPU balancing across Intel OEM platforms.
- π€ AI-Assisted Engineering: Predictive models, RF optimization, and AI-assisted validation automation.
- π§ System Software: Drivers, installers (WiX), hardware-software bridging APIs.
- π§ Cross-Platform: Linux and Windows development, including ChromeOS platform tuning.
- π§° Open Source: Local-first CLI tools for personal finance and system diagnostics.
- Architected an AI-assisted, event-driven hardware simulation SDK for OEMs/customers, emulating platform telemetry (Wi-Fi, power, thermal, SoC) with fault/noise injection to enable pre-silicon development and automated validation without physical hardware.
- Developed and optimized system software for Intel platforms, improving thermal management, performance, and power efficiency across multiple OEM configurations.
- Automated long-duration test workflows for Intel DTT using benchmarks and games (Metro Exodus, Cyberpunk 2077, Shadow of the Tomb Raider), cutting manual test effort by 80%.
- Built an AI-powered predictive tool estimating system parameters with 75% accuracy, enabling intelligent workload/thermal optimization.
- Built an RFIM optimization algorithm (RSSI, SNR, priority-based scoring) to select optimal RF channels, improving wireless validation reliability.
- Automated DDR RF Interference Mitigation (RFIM) validation workflows using AI-assisted development, reducing validation infrastructure costs.
- Stress-tested CPUβGPU power/thermal balancing across sustained and gaming workloads (Cinebench, Geekbench, 3DMark, FurMark), root-causing regressions.
- Improved Intel SoC performance and stability on Google ChromeOS through configuration tuning and cross-OS validation.
- Built an OS-independent thermal monitoring/logging tool with visualization for Linux and Windows telemetry debugging.
- Built APIs bridging low-level hardware controls with user-facing software; built WiX installers for production deployment.
- Contributed to open-source projects, resolving security vulnerabilities.
- Deployed ML models on servers to enhance log management and analysis.
- Integrated queue/build-time monitoring and Jenkins utilization tracking via API integration.
- Built a log clustering framework (ML-based), integrated into production, with a continuous-monitoring dashboard.
- Built an automated unit-testing service, reducing issue detection/resolution time by 90%.
- Built a model to evaluate security scan results, improving testing efficiency and reliability.
| Project | What it does |
|---|---|
| financial-compass | Privacy-first, local-first CLI that simulates "if my income stops tomorrow" β runway, salary thresholds, action plan. PyPI |
| rsu-to-swp | CLI that turns RSU/ESPP broker exports into an after-tax holdings picture and a systematic withdrawal plan. PyPI |
| mcp-sysinfo | AI-powered hardware & system benchmarking tool using the Model Context Protocol (MCP) + Gemini API. |
| SysBenchInfo | Python package for CPU/GPU/memory/OS system info plus basic CPU/GPU benchmarks. PyPI |
| sysbench | Cross-platform system benchmarking web app β FastAPI backend, React + Tailwind frontend. |
| Category | Skills |
|---|---|
| Languages | |
| Tools | |
| GenAI & AI Dev | |
| Specialties | System Software, Embedded Systems, AI/ML, Hardware Simulation, RF Validation |
- M.Tech, Information Technology β National Institute of Technology Karnataka (NITK), Surathkal (2018β2020) Coursework: NLP, Machine Learning, Cryptography, Distributed Computing Systems, Computer Vision, HPC.
- B.E. (Hons.), Computer Science and Engineering β The University of Burdwan, West Bengal (2014β2018)
- π₯ Intel Awards: Multiple awards for outstanding contributions and consistent project success.
- π© CTF Winner: Won Intel's Capture The Flag competition.
- π GATE Qualified: 96th percentile in CS (2018β2020).
- π AIR 75, JEST (2018) Β· 90th place, Indian Engineering Olympiad (2017) Β· 90th percentile, NPTEL NPAT (2016)
Let's build something amazing together!



