Aanchal Lakhotia

Expanded Responsibilities:

• Handling the complete RMA spectrum for Tile and Jiobit products, which comprises a total of six sub-products.
• Developed monthly presentations for the organization, providing statistical data on customer returns using SQL queries, categorized by failure modes, which facilitates open discussions on critical issues in the field, and ensures a proactive approach to issue resolution and awareness.
Adaptive Learning: In parallel to BLE, I acquired in-depth knowledge of WiFi, GPS, cellular technologies, sensors, and rechargeable batteries, showcasing my understanding of diverse connectivity solutions.

Troubleshooting Triumph:

• Quickly identified and diagnosed a critical field failure linked to specific MCU behavior, and collaboratively launched a targeted firmware update to resolve the issue within 2 months, subsequently integrating it as corner cases for future product developments.
• Conducted an experiment analyzing power consumption of different ringtones with depleted coin cells, providing valuable insights for the firmware team to optimize the ringtones for reduced power consumption.

RMA Process Expertise: Handled the complete spectrum of EFFA and RMA returns, and independently monitored devices in the field.

Troubleshooting Triumph: Identified and addressed a subtle design flaw in the adapter, facilitating high-temperature testing for memory-in-package modules. Achieved a cost-saving milestone, enabling essential.

Adaptive Learning Enthusiast: Experience working in the manufacturing ecosystem through exposure to the entire factory of Surface Mount Technology (SMT) of DRAM modules.

Comprehensive RMA Process Expertise: Acquired proficiency in crafting detailed RMA reports, effectively communicating findings to customers, and collaborating with cross-functional teams, showcasing a holistic approach to failure analysis.

Thesis

Conducted failure analysis on RMA returns at SMART Modular Technologies, and developed Fault Tree Analysis for DDR4 (Dual Data Rate) DIMM (Dual In-Line Memory Modules). The qualitative and quantitative analyses have helped to calculate an overall probability of any module exhibiting a failure mode, i.e., a 25.5% chance for a module to exhibit No Boot, a 0.61% chance to exhibit Hang/Restart, and an 18.24% chance to exhibit ECC Failures.