Experienced SRAM Designer (10+ years) with extensive experience in custom SRAM design, memory layout optimization, and physical implementation (PnR) requirements for SoC integration
Overview
12
12
years of professional experience
Work History
Sr Staff Engineer
Synopsys
Hyderabad
05.2025 - Current
Working on SRAM compliers
Sr Staff Engineer
Mediatek
Bangalore
06.2022 - 04.2025
Interact with PnR Implementation teams to understand SRAM challenges faced by them & identify opportunities for overall system level optimization
Interact with SRAM designers to finalize SRAM architecture for CPU's & GPU's based on the priority of Performance, Dynamic power, Leakage power, Area
Leading a team of designers working on multiple designs in N3E/N2P which are SinglePort HighDensity Compilers & Custom Latch Array's & UHD Two Port SRAM
Presented at UDT- VLSID-2024 on topic " A 3nm 4GHz SRAM with improved DFT Scheme to improve at-speed fault coverage"
Patent applied for "3nm Logic Bitcell based GPU SRAM"
Staff Engineer
Mediatek
06.2019 - 06.2022
Lead Designer for N5 based Single Port High Density compilers with features like Write assist,Column redundancy, Read Assist, Power Gating, Dynamic Self-Time, internal scan-chains, High Speed and Low leakage variants. These SRAM are used as L2/L3 caches in Mediatek CPU
Published paper in VLSID-2022 with Title " A 5nm Wide Voltage Range Ultra High Density SRAM Design for L2/L3 Cache Applications"
Won 2nd Best Paper Award in Mediatek Internal Conference (MTBTECHCON-2020)
Senior Engineer
Mediatek
04.2015 - 06.2019
Complete Ownership of 7nm High Speed B256M2(3Ghz) compiler
SNUG Publication : PTPX + SPICE based SRAM Pin Power Verification
Engineer
Immensa Semiconductors
04.2014 - 04.2015
Verilog modelling of SRAM & Standard cells
Education
M.Tech -
NIT Calicut
05.2013
Skills
Hands-on experience across the complete SRAM design cycle, from specification to silicon bring-up
Expertise in memory modeling using Verilog, TetraMAX (Tmax), and APL
Strong understanding of memory layout, SoC integration, and physical implementation (PnR) considerations
Proficient in Perl and Shell scripting for automation and flow development
Actively exploring AI tools for enhancing engineering workflows and productivity