Ashad Shaikh

Drove a 20% improvement in malware detonation rate by rearchitecting Python script distribution for a 5K daily MAC file unzipping service, and led technical direction for 2 engineers. Built an Azure OpenAI GPT-4 agent to analyze logs from 100+ VMs hourly and trigger automated alerts, and migrated processing to in-memory streaming to support 50K+ samples daily.

Drove 20% improvement in malware detonation rate by rearchitecting script distribution for a 5K daily MAC file unzipping service and leading technical direction for 2 engineers. Built a C# GPT-4 (Azure OpenAI) agent to analyze logs from 100+ VMs hourly and trigger automated alerts, migrated to in-memory streaming, and scaled end-to-end integration via Azure Service Bus.

Reduced master DB load by 70% by engineering a sharded Python DB connection management package. Built a Python microservice to extract financial tables from 100+ PDFs daily (cutting analyst data prep from 1 hour to 15 minutes) and implemented a graph-based topological sorting approach to resolve primary-key dependency conflicts across 100+ tables.

Engineered a Python package for sharded DB connection management, reducing master DB load by 70%, and built a Python microservice extracting financial tables from 100+ PDFs daily, cutting prep time from 1 hour to 15 minutes per report. Streamlined SQL data porting to UAT using topological sorting for 100+ relational tables, built a Slack bot saving 2–4 hours per sprint, and increased CI/CD test co

Developed an Outlook plugin that captured car deal emails via REST APIs, reducing manual entry by 50%, and led a car dealership module that contributed to $1M+ monthly revenue through dealer onboarding. Designed a .NET backend for a branch management system supporting 350+ Indian bank branches.

Developed an Outlook plugin capturing car-deal email data via REST APIs, reducing manual entry by 50%, and led a car dealership module supporting $1M+ monthly revenue through dealer onboarding. Designed a .NET backend for a branch management system supporting 350+ Indian bank branches.

Optimized a movie rights acquisition dashboard load time from 3–5 minutes to 10 seconds using a bucket-based algorithm and background pre-computation. Delivered key features for a SaaS platform used by Sony and Viacom to enable digital rights acquisition and syndication for millions of media assets.

Optimized a movie rights acquisition dashboard load time from 3–5 minutes to 10 seconds using a bucket-based algorithm and background pre-computation. Delivered key SaaS features for Sony and Viacom supporting digital rights acquisition and syndication for millions of media assets.

Grade: 8.3/10 (GPA)

Activities and societies: Mentored and conducted mock interviews to help place 20+ students into Software Engineering roles.

Earned a Bachelor of Engineering in Computer Science from the University of Mumbai (2015–2019). Completed coursework including Data Structures & Algorithms, OOP, System Design, Distributed Systems, and Computer Networks.

Grade: GPA: 8.3/10

Activities and societies: Successfully placed 20+ students into software engineering roles through structured mentorship and mock interviews.

Bachelor of Engineering in Computer Science from the University of Mumbai (2015–2019), with coursework in data structures and algorithms, OOP, system design, distributed systems, and computer networks. GPA: 8.3/10.