Abhilash Shinde
Full-Stack AI Developer | Ex-SWE Intern @Plural Technology | GDGoC Lead 24-25 (ICEM Pune) | AI/ML Practitioner
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About
Aspiring Product Manager with hands-on experience shipping production AI/ML products end-to-end. Combines technical depth (full-stack, ML, APIs) with product thinking, obsessed with user problems, outcome-driven delivery, and data-backed decisions. Published researcher and hackathon winner with a track record of leading cross-functional collaboration in Agile environments.
Experience
Software Engineering Intern – AI Products at Plural Technology (2024-12 – 2025-06)
- Translated ambiguous business requirements into scoped feature specs and shipped production-grade AI inference APIs (FastAPI, Node.js) — reduced end-to-end latency by 40%, directly improving user experience
- Owned end-to-end delivery of speech analytics features across an Agile team of 8; led sprint planning, grooming, and cross-functional demos to engineering and business stakeholders
- Identified an infrastructure bottleneck in GPU scheduling; proposed and validated async caching (Redis) solution, cutting compute costs and improving system reliability for real-time AI workflows
- Authored technical documentation and stakeholder-facing presentations translating complex AI architecture into business outcomes
Software Development Intern at Cyber Secured India (2024-04 – 2024-06)
- Identified manual bottlenecks in the security operations workflow; built a log analytics dashboard (Flask, D3.js, PostgreSQL) that cut analyst triage time by 40% — a measurable product improvement for 5+ users
- Rebuilt the 1GB+/day data ingestion pipeline from scratch, improving throughput by 3x; framed the solution around analyst pain points before writing a line of code
Education
Bachelor of Engineering in Computer Engineering – Indira College of Engineering and Management (2022-01 – 2026-06)