Internship Embedded Software Internship Texas Instruments, India Technical Projects High-Performance and Energy-Efficient In-Order Cores Implemented the Freeflow and Load-Slice in-order core designs which help increase performance and energy efficiency Superscalar Processor Design Designed a 2-way fetch out-of-order superscalar processor in VHDL EEG Data Acquistion System Designed a 24-channel data acquisition system for capturing EEG signals FPGA Accelerator for SNNs Implemented and simulated an FPGA-based accelerator for Spiking Neural Networks VLSI Circuit Design Implementing various digital circuit designs in VHDL Cross-coupled VCO Design Designed a Cross-coupled Voltage-controlled Oscillator for the specified parameters and implemented it using Cadence Virtuoso 2-stage OTA Design Designed a 2-stage Operational Transconductance Amplifier for the specified parameters and implemented it using Cadence Virtuoso Optimum Device Design for NIPIN Selector Performed experiments on the NIPIN device by varying i-region widths, temperature an introducing SiGe in the p-region Spiking Equilibrium Propagation for Real-time Learning Implemented the Equi-Prop system using 45nm CMOS technology VLSI Circuit Partitioning Techniques Implemented and analyzed graph partitioning algorithms and heuristics RISC Processor Design Designed and implemented 16-bit 6-stage pipelined processor in VHDL Valet Parking Bot Built a line-follower bot, capable of obstacle-avoidance and parking using the Arduino-UNO based Alphabot Error Correction in FSK Implemented an Error-correction mechanism in FSK using Convolutional codes Dual-Band Filter Design Designed Butterworth, Chebyshev, Elliptical and FIR Filters for given specifications RUL Estimation for EV Batteries Estimated the Remaining Useful Life of Li-ion EV batteries with an R2 score of 98.09 Digital Circuit Design Designing and simulating digital logic circuits and finite state machines in VHDL Microprocessor Implementations Programming and interfacing the Intel 8085 microprocessor in assembly Reading Projects General-Purpose GPUs Evaluating an adaptive LLC caching scheme for general-purpose GPUs
