Syed Zameer M

TruSic

System Diagram · GitHub

• Building a context-aware music system that aligns playback with real-time human state
• Multimodal system combining CLAP, YAMNet, Wav2Vec, physiological signals, and behavioral triggers to model “felt music”
• Uses structured trigger signals and contextual inputs to model and progressively learn song associations
• Shifts retrieval from history-based recommendations to current internal state
• Leverages vector similarity (pgvector) to match contextual embeddings for precise retrieval

AI Resume Site

System Diagram · GitHub

• Custom RAG pipeline (chunking, embeddings, retrieval, LLM) over a curated personal corpus
• Real-time interaction through a FastAPI backend integrated with a lightweight frontend (Next.js)
• AI-powered portfolio that allows users to interact with work through conversation instead of static content
• Transforms a traditional resume into a context-aware, interactive system

Health Engine

• A personal health intelligence system that translates physiological data into adaptive daily guidance
• Ingests wearable data, normalizes signals, applies rule-based and LLM-driven reasoning
• Focuses on flexible, user-specific behavior guidance instead of rigid templates
• Fully automated pipeline using scheduled workflows (GitHub Actions)

Yum Brands — Product Technical Engineer

Apr 2023 - Present

• Building AI-driven predictive search and suggestion systems within menu hub enabling contextual reuse of existing configurations
• Designing context-aware reuse patterns to reduce duplication and improve efficiency
• Leading product development of menu management systems, integrating AWS services (Lambda, S3, RDS) to support workflows
• Working across API-driven systems, validating payloads and ensuring reliable request-response flows across distributed services
• Improving system scalability and observability through CloudWatch and DataDog
• Worked with enterprise AI systems and production evaluation frameworks

PACCAR — Technical Product Analyst

Oct 2023 – Apr 2024

• Contributed to PACCGPT, an internal AI-driven enterprise knowledge interface, supporting early-stage development and integration design
• Defined data integration points for the Connected Vehicle Platform (CVP), aligning fleet and diagnostic systems
• Aligned vehicle diagnostics data to enable future integration into AI-driven systems
• Supported modernization efforts transitioning legacy systems to Azure-based, event-driven architecture
• Worked across APIs, data pipelines, and microservices, supporting distributed system integrations

Toyota — Technical Product Owner / Analyst

Sep 2021 – Jul 2023

• Led API mapping and end-to-end data flow analysis across legacy and cloud-native systems during AWS migration
• Supported transition to microservices and event-driven architecture, improving performance and integration reliability
• Collaborated with cross-functional teams to define and refine requirements for large-scale modernization initiatives
• Maintained system documentation and integration artifacts to support delivery, onboarding, and knowledge sharing

United Airlines — Technical Analyst

Feb 2020 – Sep 2021

• Supported end-to-end development of customer-facing mobile applications, from requirements through production deployment
• Conducted gap analysis and feature prioritization to support transition from legacy to modern platforms
• Collaborated with engineering and design teams to translate user needs into functional requirements and improve usability
• Ensured API compatibility and consistent performance across mobile and responsive platforms

Aspire Systems — Software Engineer

May 2016 – Dec 2019

• Worked on large-scale data processing systems in the warranty domain, supporting high-volume enterprise platforms
• Built and maintained data pipelines using SQL and Python for processing, transformation, and validation
• Contributed to data engineering workflows using PostgreSQL and enterprise data platforms, ensuring accuracy and performance
• Developed automation scripts to streamline data validation, transformation, and operational processes
• Collaborated on technical and functional specifications, aligning data flows with business requirements