Pallavi Lalchand Varandani

About Pallavi Lalchand Varandani

I am a passionate technologist and problem-solver with a Master\'s in Management of Technology from NYU and a Bachelor\'s in Computer Engineering. As a Developer Support Engineer at Amazon Ads, I specialize in advanced troubleshooting, automation, and tool development to enhance efficiency. My unique blend of technical expertise and strategic insight has driven initiatives that significantly improved incident management and automation processes.From a little girl with a Windows98 system to leading high-severity incident management, my journey reflects my commitment to continuous learning and innovation. As a first-generation immigrant and the first female engineer in my family, I strive to inspire and empower others in the tech community, advocating for diversity and innovation in the technology sector.My career spans over five years, marked by roles at Amazon Ads, TIBCO, and Information Builders. My diverse background, including public speaking and contributions to women in tech, underscores my commitment to fostering innovation and inclusivity in the tech industry. My academic journey, coupled with my professional achievements, reflects my dedication to continuous growth and excellence. As a passionate advocate for diversity in tech, I aim to inspire and mentor the next generation of engineers.

Experience

1. Developer Support Engineer V - Site Reliability Engineering

   Amazon

   Jul 2024 — Present · New York, NY, US

   Streamlined processes and metrics: established structured sprint planning, stand‑ups and design reviews; tracked 14+ features, saved 860+ hours and improved TTR; defined 2025/26 goals and dashboards.Architected AI‑based Impact Analysis, Severity Classifier and Maestro frameworks leveraging LLMs, targeting a 50–60 % reduction in severity upgrade time.Owned and expanded the Troubleshooting tool: built runbooks and targeting validations; integrated two internal systems; cut query time from \\~25 min to 2 min and saved \\~1 hours; projected to reduce targeting‑ticket TTR to 3 days.Enhanced intake and escalation by introducing a ticket‑quality validator, simplifying templates, updating escalation paths and opening a direct channel with DoubleClick.Lowered noise by automation and creating self‑service tools (Creative Troubleshooting, Audience Metadata, ASIN/Pixel Backfill); dropped noise tickets by 23 % and enabled 420+ self‑serve actions; updated scripts and gathered top 2025 feature requests.Built Finance WBR and High‑Value Advertiser dashboards and realigned multiple misaligned dashboards, reducing manual data prep from hours to minutes and supporting Operational planning.Resolved reliability issues: led the fix for HTTP 400 cookie oversize errors across five engineering teams; analysed PSC‑T hand‑off to save \\~4.4 tickets/week.Led hiring and knowledge sharing: interviewed 8 candidates and hired 3, mentored new SEs, ran cross‑team stand‑ups and expanded the internal wiki engine.

Education

• Swami Vivekanand Junior College

  HSC, Computer Science

  2011 — 2013

• New York University

  Master's degree, Management of Technology

  2017 — 2019

• St. Anthony Girls' High School

  High School, High School/Secondary Certificate Programs

  1998 — 2011

• University of Mumbai

  Bachelor of Engineering (B.E.), Computer Engineering

  2013 — 2017