I build end-to-end intelligent systems spanning:

• ASIC RTL, SoC Architecture & UVM Verification
• FPGA Prototyping & Silicon Bring-up
• Physical Design & Timing Closure Awareness
• AI/ML, Data Science & Analytics Platforms
• Business & operational data modeling
• Industrial automation & energy optimization

Focus: Architecting systems where silicon, data, and decisions
converge into measurable real-world impact.

• +51% power efficiency
• −36% area optimization
• Timing-aware, synthesis-clean RTL
• CMOS Transmission-Gate ALU redesign
• Integrated ADC, DAC, SPI, UART, CAN, GPIO
• Designed for real-time industrial workloads

• +22% methane yield improvement
• Closed-loop digester automation
• Sensor-driven control pipelines
• Analytics-backed decision support
• Field-deployed, reliability-first design

Machine Learning & Deep Learning

• Regression, classification & clustering
• CNN, RNN, LSTM, Transformers
• Feature engineering & model evaluation
• Model accuracy, drift & performance tracking

AI for Engineering & Automation

• AI-assisted micro-architecture tuning
• Predictive power, performance & yield analysis
• Anomaly detection in industrial sensor data
• Workload-driven hardware optimization

Data Engineering & Processing

• Structured & semi-structured data pipelines
• Sensor, time-series & operational data
• ETL workflows & data validation
• SQL-based analytics & aggregation

Data Analysis & Visualization

• Exploratory Data Analysis (EDA)
• KPI definition & metric tracking
• Trend analysis & forecasting
• Dashboards for technical & business stakeholders

Business & Operational Analytics

• Cost, efficiency & ROI modeling
• Process optimization & bottleneck analysis
• Decision-support analytics
• Translating technical metrics into business impact

SoC & High-Speed Protocols

• AXI4 / AXI4-Lite / AXI-Stream
• APB / AHB
• AMBA CHI (Req / Resp / Data)
• PCIe (interface-level)
• DDR4 / DDR5 (controller-aware design)

Cache & Memory Systems

• MESI cache coherence
• Multi-level cache hierarchies
• SRAM controllers & arbitration
• Cache-line & snoop modeling

Peripheral & Industrial Interfaces

• SPI, UART, CAN Bus, I²C
• GPIO, Ethernet (system integration)
• USB 3.2 (Host / Device, PIPE)

• SystemVerilog & UVM environments
• Functional, code & assertion coverage
• SVA-based protocol checking
• CDC / RDC awareness
• Root-cause debug & closure
• Reliability-focused design practices

• Floorplanning & block-level PD concepts
• CTS: skew, latency, balance
• Setup / Hold closure
• ECO-driven timing fixes
• MMMC, OCV / AOCV / POCV
• IR-drop & EM awareness
• Low-power intent (UPF-aware RTL)

• HDL: SystemVerilog, Verilog
• DV: UVM, SVA, Coverage, Constrained Random
• Formal: JasperGold / VC Formal / SymbiYosys
• Simulators: VCS, Questa, Xcelium, Verilator
• Lint/CDC/RDC: SpyGlass, Verilator, Synopsys CDC
• Synthesis: Synopsys DC, Fusion Compiler
• Low Power: UPF, SpyGlass LP, PowerArtist
• DFT: Synopsys DFT Compiler, Tessent

• Tools: AMD Xilinx Vivado, Intel Quartus
• Boards: Zynq, UltraScale+, Artix-7
• Debug: ILA, ChipScope, JTAG, UART console

• Place & Route: Innovus, ICC2
• Timing: PrimeTime, Tempus
• Signal Integrity: StarRC, RedHawk
• Power/IR: Voltus, RedHawk
• DRC/LVS: Calibre, IC Validator

• MCUs: ESP8266, MSP430
• Protocols: SPI, UART, CAN, I²C
• RTOS: FreeRTOS (as needed)
• SCADA: Flutter-based dashboards

• Languages: Python
• Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn
• Analytics: Pandas, NumPy, Matplotlib
• MLOps: Model tracking, drift detection

• Cloud: AWS (S3, EC2, IoT Core)
• Backend: Python APIs
• Containers: Docker
• Version Control: Git, GitHub

• UI: HTML, CSS, JavaScript, React, Flutter, Figma

• Instagram (Company): https://www.instagram.com/yarok14.technology/
• GitHub (Organization): https://github.com/Yarok14Technologies
• LinkedIn (Personal): https://www.linkedin.com/in/bibin-n-biji-28a100337/
• LinkedIn (Company): https://www.linkedin.com/company/yarok14
• Website: https://yarok14technologies.github.io/yarok14/
• YouTube: https://www.youtube.com/channel/UCWmCcm1UlDJJfz0aB9B_a0A

Great systems are not just designed —
they are measured, analyzed, optimized, and trusted.